Data Modeler Resume Samples

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S Schroeder

Sadye

Schroeder

87235 White Valley

Chicago

+1 (555) 136 6014

87235 White Valley

Chicago

Phone

p +1 (555) 136 6014

Experience Experience

Dallas, TX

Data Modeler

Dallas, TX

Hartmann and Sons

Dallas, TX

Data Modeler

Work with the DW Development team to implement data strategies, build data flows and develop conceptual data models
Work with the development team to implement data strategies, build data flows and develop data models
Provide SAP HANA modeling and Analytics expertise in the development of new solutions as well as the improvement of existing solutions
Work with the lead to establish standards around flexibility of the data model to ensure deviations are within established guard rails
Work with development, application and other data architects to provide an overall solution approach
Identify and recommend process improvements that significantly reduce workloads or improve quality for his/her assigned areas of responsibility
Provides technical assistance and mentoring to staff for developing conceptual and logical database designs and the physical database

Detroit, MI

Lead Data Modeler

Detroit, MI

Jenkins LLC

Detroit, MI

Lead Data Modeler

Assist service developers in adding new data concepts to their services,
Establish standards around flexibility of the data model to ensure deviations are within established guard rails
Performs data analyzes and design, and creates and maintains large, complex logical and physical data models, and metadata repositories using ERWIN and MB MDR
Assist service developers in finding relevant content in the existing reference models,
Assist with defining data model development methodologies, principles, standards, and governance considering People and Process optimization aspects
Five or more years of enterprise level data design and development
Provide technical support to a review team that approves those additions, and

present

Philadelphia, PA

Senior Data Modeler

Philadelphia, PA

Hickle-Lind

present

Philadelphia, PA

Senior Data Modeler

present

Develops and approves strategies for continuous improvement in data management
Provide guidance and leadership to perform analysis and provide solutions
Assists with coordination of database changes within context of overall configuration management process
Identifying, recommending and implementing emerging Modeling and IT trends, developments, tools and improvements/solutions
Manage multiple assignments simultaneously, while working independently, and with other engineers and SMEs
Create, manage, and modify logical and physical data models using a variety of data modeling philosophies and techniques including Inmon or Kimball
Collaborates with cross-functional team in support of business case development and identifying modeling method(s) to provide business solutions

Education Education

Bachelor’s Degree in Computer Science

Drexel University

Bachelor’s Degree in Computer Science

Skills Skills

Strong applied knowledge of software development efforts through implementation including good design, documentation and supportability practices
Strong interpersonal skills; strong written and verbal communications skills; experience with remote or virtual teams
Strong work ethics, driven, dependable, and responsible
Willingness and ability to learn quickly new Big Data and Cloud Analytics solutions
Strong organizational skills with attention to detail
Excellent analytical and problem-solving ability
Strong understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal BI-Temporal models, etc.)
Detail oriented with strong organizational and analytical skills
Strong analytical skills and writing skills, to include solid experience in writing functional and technical specification
Strong people skills including the ability to effectively and concisely communicate orally and in writing across all levels of the organization

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15 Data Modeler resume templates

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Data Modeler Resume Examples & Samples

Work with the Card Data Warehouseteam to develop, enhance and maintain its systems
Participate in the analysis and design of system solutions to meet business needs
Ensure data quality, data understanding within supported areas
Demonstrated expertise in logical and physical data modeling (ER and Dimensional)
3-5 years experience in developing data-marts, operational and analytical environments
3-5yearsusing Data Modeling tools: ERwin
Knowledge of software project lifecycle
Experience with change management procedures
Experience with Data Governance
Excellent communication, both written and verbal
Experience with large scale Data Warehousing environments
Experience with Teradata
Strong analytical skills and writing skills, to include solid experience in writing functional and technical specification

Data Modeler Resume Examples & Samples

Ability to work in a fast paced environment
3-5 years demonstrated expertise in logical and physical data modeling (ER)
3-5 years of experience in developing operational environments
3-5 years demonstrated proficiency using Data Modeling tools such as: ERwin
3-5 years working experience of large scale computing environment
3 years of working experience in ANSI standard SQL a must
3 years of experience with change management procedures and SDLC is a must
3 years of experience with deployment of database changes
3 years of demonstrated ability to investigate and learn new technologies and products is preferred
3 years of experience with Oracle
Strong verbal and written communication, with an ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding
Ability to exercise independent judgment and creative problem-solving techniques in a highly complex environment using technology and/or integrating diverse user systems

GIW Data Modeler Resume Examples & Samples

5+ years experience in data modeling (preferably on large scale DWH)
Experience with analytical and operational data Store modeling
Experience with physical data model deployments, script development
Experience with dimensional data modeling at an enterprise level
Expert level experience in ERWin 4.x (or above)
Familiarity with Kimball and Inmon methodologies
Expert experience and working knowledge of Oracle (10g or above preferred)
5+ years of experience with SQL, SQL tuning
Experience with tools including TOAD, SQL Developer
Experience with UNIX Shell scripting
Experience with BI tools (Business Objects, Microstrategy)
Experience with source control tools (i.e. Clearcase)
Experience with PL/SQL
Familiarity with real time vs. batch systems

Data Modeler Resume Examples & Samples

Minimum five years of experience in the design and building of data models
Minimum five years of experience in relational database design & tuning, use of tools to diagnose database performance issues, create reporting index strategies and improve database designs based on SQL execution
Minimum five years of experience in gathering database mapping requirements and creating mapping documentation in detail preferably using ERwin
Knowledge of data architecture concepts such as data cubes and OLAP multidimensional systems, data marts, data mining systems, operational data stores, data warehouses, staging databases and data servicing layers
Skilled in data base design in a large data base environment (1 TB )
Experience with Microsoft SQL Server 2008 R2 or higher
Familiarity with the procedures and issues of implementing ETL routines
Should have experience with an ETL tool, preferably Microsoft SSIS
Familiarity with Ab Initio is a plus
Experience with SQL create/modify/test scripts to test data model and confirm viability against report specifications
Strong communication skills and the ability to work with customers to understand business requirements

Senior Data Modeler Resume Examples & Samples

Develop, enhance and maintain customer lifetime value scoring assessment
Develop customer insights through statistical modeling, segmentation, quantitative analyses, and customer profiling
Effectively communicate results to executives
Perform advanced statistical analysis and modeling to solve complex business problems
Utilizes predictive analytics to develop insights, opportunities, and effectiveness of marketing initiatives
Develop, enhance and maintain customer lifetime value
Collaborates with cross-functional team in support of business case development and identifying modeling method(s) to provide business solutions
5-8 years experience required
MS degree in math, statistics, computer science or related field
Prior experience utilizing SAS, SPSS, SQL, or similar large database application is desired
Exceptional analytic, strategic, and problem-solving skills
Exposure to digital analytics tools a plus (Adobe Omniture, Google Analytics)
Passion for data analysis and modeling, with strong analytical and SQL skills

Data Modeler Resume Examples & Samples

The business data modeler must have 3-5 years of experience working on data modeling complex financial instruments, party, agreement and other business concepts in an investment bank. Financial services organization experience highly preferred
Overall financial services industry knowledge with specific functional expertise ideal
Demonstrated ability to build, maintain and navigate the organization using formal / informal networking skills
Hands on experience with end to end data modelling skills, source to target maping techniques, data flow diagrams using EA Erwin Diagrams, Enterprise Architect and Vizio Diagram, etc
Strong understanding of database concepts & semantic modeling
Experience in doing current state data model assessments/target data models and gap analysis
Has understanding of strategic roadmaps, process & technology solutions
Good facilitation skills and experience in managing stakeholder requirements / design sessions
Familiarity and experience with financial services business and governance models
Strong understanding and hands on application of any data architecture and coordinate hand-off of data model design to IT for physical design and build
Strong ability to problem solve (by means of logical thinking, deductive reasoning) critical issues and business problems
Strong analytical skills are required to synthesize data and story board
Demonstrated ability in conveying results of analysis into business language
Assist Reference Data Production team in implementation and integration of data models in day-to-day production activities
Define / maintain CDU Data Dictionary/Business Glossary
CDU LDM “Source to target mapping” and business rules to support ETL design by I.T
CDU LDM Data flow diagram and business rules to support CDU process design ( TPM)
Coordinate data governance aspect of CDU LDM with IB Ref Data Governance team and CDU Process Architect team
Contribute in strategy and roadmap discussions with the Change delivery teams
Typically qualifications would include an undergraduate or postgraduate degree in Science, Business Administration, Engineering or a related field
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Data Modeler Resume Examples & Samples

Work with Analysts and Subject Matter Experts to identify and understand customer requirements for creation/modification of corporate Data Warehouse, departmental Data Marts and application specific Operational Data Stores
Develop logical and physical data models including star schemas, snowflake schemas, and highly normalized data models
Understand the nature of the data in various source systems and mapped to a single consolidated data warehouse model (source to target mappings)
Enhance process for capturing and maintaining metadata from all data warehousing components
Assist database developers and administrators with the translation of the logical model into a workable physical model. Participate in or lead data quality and data standardization initiatives. Assist in the development of Extraction, Transformation and Loading (ETL) programs
Be responsible for or be a contributor to documentation artifacts including functional requirements documents, design documents and data management plans
Minimum five years of experience in relational database design & tuning. Use of tools to diagnose database performance issues, create reporting index strategies, and improve database designs based on SQL execution
Minimum five years of experience in gathering database mapping requirements, creating mapping documentation in detail, preferably using ERwin
Knowledge of data architecture concepts such as data cubes and OLAP multi-dimensional systems, data marts, data mining systems, operational data stores, data warehouses, staging databases and data servicing layers
Skilled in data base design in a large data base environment (1 TB+)
Familiarity with the procedures and issues of implementing ETL routines. Should have experience with an ETL tool, preferably Microsoft SSIS. Familiarity with Ab Initio is a plus
Strong communications skills and the ability to work with customers to understand business requirements

Data Modeler / Developer Resume Examples & Samples

Key participant in creating and implementing a data management/governance framework for JPMIS
Execute data delivery projects as an individual contributor
Develop and plan required data sourcing and transformation projects in response to business needs. Contribute to the design, build and maintenance of the IntelliStor repository and other data assets as they are developed
Effectively partner with the Data Insights team to drive usage and improvement of the IntelliStor repository
Create and enforce guidelines to ensure consistency, quality and completeness of all JPMIS data assets
4+ years of working in large and medium project teams, as a contributing member in self-directed roles
Deep experience across the full range of database and business intelligence tools (SQL, Tableau, Spotfire, SAS, R and other data science toolsets)
Detail oriented and a commitment to innovation
Experience with industry leading Analytical, Data Processing and Business Intelligence tools and techniques for application in a Big Data environment
Ability to present complex information in an understandable and compelling manner
Strong working knowledge of Java and Python
Knowledge of Big Data technologies (e.g., Hadoop, GreenPlum) is preferred
Knowledge of machine learning and predictive analytics is a plus

Data Modeler Resume Examples & Samples

Experience with data modeling and database design
Experience with data profiling
Thorough knowledge of SQL and Transact-SQL scripting
Extensive experience developing stored procedures, functions, views, and triggers
Experience with SQL Server Data Transformation Services and SQL Server Integration Services, including use of variables, and configuration files
Proficiency with MS office product suite, especially MS Excel
Knowledge of the Canadian securities industry is required and experience with trading systems and derivative instruments is preferred
A self-starter with strong ability to prioritize and meet deadlines
A quick learner to understand technical as well as business requirements
A strong interest to work in capital market electronic trading
Strong desire to improve his/her technical and business skill set and knowledge base
Ability to work on multiple initiatives at the same time
Interpersonal skills with an ability to communicate effectively and easily
Technical design experience
Technical business analysis skills

Data Modeler Resume Examples & Samples

1-3 years demonstrated expertise in logical and physical data modeling (ER)
1-3 years of experience in developing operational environments
1-3 years demonstrated proficiency using Data Modeling tools such as: ERwin
1-3 years working experience of large scale computing environment

Data Modeler Resume Examples & Samples

2+ years of employment history in the Financial Services industry and a corresponding history of data models delivered is essential
Knowledge of both OLTP 3NF modeling and Kimball-style dimensional modeling is desirable
Familiarity with SDLC
A track record of using Erwin or experience with other data modeling tools
Excellent problem solving skills and technical reasoning
Awareness of other modeling techniques such as UML
Familiarity with reference data at the global and local level
Assist with the definition and documentation of current state and future state Information Architecture models

CIB Tech-logical Data Modeler, VP-brooklyn Resume Examples & Samples

Reviewing and elaborating stakeholder requirements
Designing data models in a collaborative manner, and in line with the firm’s defined Information Architecture and Fortress Architecture principles
Directly support the implementation of data base and message designs through close collaboration with physical data modelers and developers
Working in an Agile environment
Excellent core data modeling experience and skills, including dimensional modeling and OLTP database design
Excellent Information Architecture knowledge and experience, including business vocabularies, meta data management and reference data strategies for a large enterprise
Deep understanding of Information Architecture principles pertaining to real-time, asynchronous message-driven architectures
Good experience with both OLTP, Data Mart and asynchronous messaging applications
Deep familiarity with at least one recognized modeling tool (e.g., MagicDraw or ERWin)
Good proficiency with SQL, and its appropriate use in 3-tier architectures and Business Intelligence settings
Good understanding of modern relational data base capabilities (e.g., Oracle or SQL Server)
General knowledge of the wholesale Finance Industry
Business knowledge of cash management in a money center bank
Physical data modeling expertise
Implementing OLTP databases and Data Marts with Oracle RAC and Exadata
MQ Series asynchronous messaging design patterns
Industry message standards: FPML, SWIFT, etc

Data Modeler Resume Examples & Samples

At least 5 – 8 years software development experience required in Data Warehouse environment
At least 5 – 8 years of experience with ER and Dimensional Data modeling, Erwin
At least 3 - 5 years of Teradata or any MPP environment is a preference
At least 3 – 5 years in Financial domain is a preference
Excellent Knowledge of Conceptual, Logical and Physical modeling in Data warehouse environment that supports large scale DW implementations based on industry data modeling
Experience in creating large Dimensional modeling leveraging confirmed dimensions and facts for large data warehouse implementations
Experience on BDW – Banking data model from IBM a plus
Experience in physical implementation in a MPP platform like Teradata a plus
Experience in creating source to target mapping and experience in providing data model overview to stakeholders
Experience with data model training a plus
High level of personal commitment to each task, a can do attitude and a drive to deliver
Strong communication skills to be able to communicate at all levels (business and IT)
Ability to gather and understand requirements
The candidate should have a proactive approach to problem solving
Good analysis skills in order to aid in trouble shooting and problem solving
Bachelor's degree in Engineering, Computer Science, or Information Technology. Master's degree in Finance, Computer Science, or Information Technology a plus
Minimum of 5 to 8 years of work experience in creating data models (Conceptual, Logical and Physical data model) using Erwin or similar data modeling tool
5 - 8 years experience in mid to large scale Data warehouse
Knowledge of various data modeling concepts and methodologies
Understands what is the SDLC lifecycle and the significance of each of the phases of Waterfall model
Knows about the processes to be followed in the project, Follows the defined processes in the projects
Experience with CVS, SUBVERSION similar source code versioning tools
Solid design, coding, testing and debugging skills
Excellent interpersonal relationship and communication / presentation skills; build relationship with business and participate in “sit-with” session to gain Business Knowledge
Troubleshoot systems production/performance issues under tight deadlines
Requirements management and Research and evaluate alternative solutions and make recommendations
Establish auditing procedures to ensure data integrity
Responsible for on-time delivery of high-quality code
Support QA phase by tracking and assigning defects to development team; work with QA leads to schedule fixes and builds and enable QA to be successful
Participate in the definition of Operational Data Stores and data marts that perform well and meet the client expectations. Works with other team members, including DBA's, ETL developers, Technical Architects, QA and Business Analysts

Data Modeler Resume Examples & Samples

Review source systems and business publications to document data requirements and integrate them into the logical data model
Develop and design new consolidated logical and physical data models and assist in developing a transition plan from existing data models (where applicable)
Document existing data flows by inspection of DTS and SSIS packages and document data and scheduling interdependencies
Participate in the redesign of data flows, adapting existing processes to the new consolidated data models
Develop/redesign SSIS packages, stored procedures, functions, triggers, and SQL Server jobs with emphasis on modularity, performance, and dependability
Assist in standardizing data management procedures
Work with a team of database developers to produce high quality designs and implementations

Data Modeler Resume Examples & Samples

Strong data management skills
Strong Data Modeling
Should have managed/participated in complete project life cycle
CFA

Data Modeler Enterprise Kyc Technology Resume Examples & Samples

Own the enterprise-level Data Architecture for KYC data serving as the authoritative reference for implementation of KYC applications and common services (conceptual & logical models; metadata management
Develop organization and versioning scheme across compliance requirements, logical data model, KYC system implementations and client records
Work with compliance to simplify and streamline the management of KYC requirements
Work with LOB Technology areas and CIS to develop standard mappings to CIS data model
Work with senior architecture and business analysis resources across LOBs and ES to define strategy, standards and business processes for shared KYC data
Work on current to target state roadmap
Develop a governance process for KYC data
Support global KYC projects (e.g., risk scoring, periodic reviews, holistic view, global due diligence, etc.)
Participate and/or lead cross-LOB Design Council sessions
Provide data architecture oversight
Excellent knowledge of Client Reference Data and its use/impact in the enterprise
KYC experience at equivalent large bank/broker dealers
Knowledge of Master Data Management
Ability to identify patterns, concepts, abstractions
Hands-on experience with data modeling tools (object-oriented and relational)
Experience in large, complex, cross lob technology initiatives
Detail oriented and strategic thinker
Ability to collaborate and build strong partnerships across business, technology and operations as well as across regions and lines of business
BS/MS in Computer Science or equivalent
10 to 15 years minimum in technology preferably with a financial services firm

Senior Data Modeler Resume Examples & Samples

Experience in implementing data model governance process
Understanding of data governance functions
Exposure to Data Maturity Model
Solid understanding of products/services in Financial Services industry
Proven expertise in data modeling and data mining
Knowledge of Software development life-cycle
Excellent understanding of data representation and modeling including XML and related technologies
Logical data modeling experience is desired

Senior Data Modeler Resume Examples & Samples

Provide guidance and leadership to perform analysis and provide solutions
Rethink and influence strategy and roadmap for building scalable data solutions and scalable data warehouse environment
Create and maintain data architecture, data management conventions and standards, naming and metadata standards
Develop and maintain conceptual, physical and logical data models
Lead data optimization and clean-up projects
Lead capacity planning exercises and help project teams to estimate the cost
Lead Semantic layer Data Model development to support BI tools (Tableau, MicroStrategy, SAS)
Act as the in-house Subject Matter Expert (SME) on issues of data architecture
Provide technical leadership related to data modeling, data management, integration and warehousing, storage and business intelligence
Develops and approves strategies for continuous improvement in data management
B.S. or MS degree in Computer Science, business or related discipline, or equivalent experience
Over 5 years of experience in Business Intelligence and Data Warehouse design, conceptual, logical and physical data modeling
Over 5 years of experience as an Enterprise level Data Architect with a large organization dealing with large set of data
Over 5 years of experience physical tuning of databases I.E Indexes, partitions, Compressions etc on a MPP architecture based RDBMS
Solid understanding of both Inmon and Kimball models and approaches to data warehouse
Expertise and knowledge in data management, business intelligence, master data management, and data services architectural frameworks
Good understanding of OLAP tools such as Microstrategy, SAS, and Tableau and experience with multi-dimensional modeling
Solid experience with Data Modeling tools such as ERWIN 9, Power Designer, and Data Model Driven approach

Data Modeler Resume Examples & Samples

Development of medium to difficult SAS software modules to meet customer specifications 35%
Process customer input files; parsing and re-formatting to match vendor / product requirements 25%
Process vendor / product return files; parsing and re-formatting to meet customer specifications 20%
Generate statistical reports for QC and administrative reporting / billing purposes 10%
Participate in team meetings to discuss best practices / processes and administrative processes 5%
Participate in technical/professional training 5%
Experience in C, C++, SAS, SQL required
Individual must possess excellent written and oral communication skills
The individual must present a professional image and work well with all levels within the organization
Excellent analytical skills are essential

Data Modeler / Developer Resume Examples & Samples

Design and build asset class data model to support regulatory reporting function of a bank
Establish data modeling naming standards, abbreviations, guidelines and best practices
Drive the data model review process and solicit users’ feedback
Counsel with Subject Matter Experts on specifics topics in order to accurately capture existing business rules/principles
Analyze legacy applications, including both data content and a structure and review source code to derive necessary information
Propose new database architecture, support data migration from an existing Legacy system to a new structure
Educate internal and external team members on data modeling techniques, database design methodologies
Develop innovative DB solutions based on business requirements and technical challenges
Ensure to complete and deliver all assigned tasks on time with quality
Need to multitask working simultaneously on more than 1 task at any given time
Ensure timely and accurate communication with project staff throughout the life cycle of the project
Research and apply new technologies and best practices for development and deployment process improvements
6–8 years of industry experience with at least 2 years of investment banking
Familiar with regulatory reporting processes with strong understanding of trading, accounting, back office operations and MIS
Experience in designing enterprise scale conceptual, logical and physical data model
Passion for data exploration and data discovery is critical for this role
Familiarity with ER data modeling techniques, as well as star schema; understanding of OLAP vs. OLTP database design principals
Experience in database performance tuning, optimization and maintenance
Adept at writing efficient Structured Query Language (SQL) using various SQL-development software packages including Oracle PL/SQL
Strong knowledge on build (Ant/Maven), continuous integration (Jenkins), code quality analysis (SonarQube) and unit and integration testing (JUnit)
Experience of working on end to end data warehouse projects will be considered added advantage
Ability to work with a sense of urgency and attention to detail; meets deadlines
Strong work ethic; does whatever it takes to get the job done
Demonstrates the ability to handle a multitude of tasks and issues in a fast-paced, rapidly changing environment

Data Modeler Resume Examples & Samples

Candidates must demonstrate knowledge and understanding of advanced database concepts including data modeling, SQL programming skills, data access & data warehouse and operational data stores
Ability to obtain a Public Trust Clearance
Experience with Git or Subversion version control
Experience with Agile SCRUM

Risk Data Modeler Resume Examples & Samples

Define and analyze data requirements needed to support business processes
Lead the development of a risk model tool for target operating model
Understand and translate business needs into data model supporting CTPO End State
Create logical data models using best practices to ensure high data quality
Develop key Risk Metrics and reporting in support of the new model
Assist in enhancing data standards and procedures
Drive completion of a comprehensive Data Dictionary in support of the model
Maintain data integrity by working to eliminate redundancy
Understanding the critical business functions third parties support
Engagement of all stakeholders, both internally and externally
Providing transparency to senior management on data logistics, issues and results
Partner with other workstreams within the CTPO team, with TPMOs and with other corporate stakeholders as needed on critical items as they occur
Ability to work in pressure environment and meet tight deadlines
Expert in use and development of Data Modeling tools
Thorough understanding of Risk and Controls Analytics & Metrics
Knowledge of basic risk frameworks including RCSA processes
3-5 years Business Requirements gathering experience
Familiar with Best practices related to Data Modeling
Excellent Excel and MS Office Skills
Familiarity with other reporting tools such as Cognos and Qlikview
Strong, proactive task-based approach with focus on delivery

Senior Data Modeler Resume Examples & Samples

Create, manage, and modify logical and physical data models using a variety of data modeling philosophies and techniques including Inmon or Kimball
Profile source data and meet regularly with IT partners to develop complete source to target data mappings
Generate DDL from model for RDBMS (Oracle, Teradata)
Investigation data quality issues to determine root causes, resolve any data issues and recommended process change to prevent reoccurrence
Performance tuning of SQL
4-5 years working experience with in a data modeling role
4-5 years working experience with Oracle and Teradata
4-5 years working experience with ERwin Enterprise Data Modeler Suite or comparable data modeling tool experience
Strong understanding of relational databases, querying and building
4-5 years working experience with enterprise data warehouse projects

Data Modeler, Asset Management Resume Examples & Samples

Understand the data requirements including the relevant business transformation rules used to standardize and normalize the data for consistency
Identify the authoritative sources for the data, and conduct data analysis for the universe of Enterprise-wide data that is in-scope
Work with business stakeholders, business analysts, data analysts, systems analysts to translate data requirements into data model design
Develop and design the conceptual and logical data model for complete asset management inventories
Conduct and participate in data model review to validate the data requirements
Ensure data models are designed for flexibility to support future business needs and enhancements
Assist in data profiling and technical analysis as appropriate to validate business transformation rules and development of technical specs
Contribute to development of standards for maintaining the data models
Contribute to the creation of presentation materials relating to data modeling for stakeholder discussions
Support application testing and production implementation as required
Support integration of models and ensure definitions are consistent across the enterprise for share-ability and reusability
Solid understanding of relational data model design, dimensional modeling & data warehousing methodologies
Proven experience in delivering quality data models that have enterprise-wide data coverage in a large transformational program
Experience in usage of metadata and data profiling tools
Proven experience in standard database technology (SQL Server, Oracle, etc.)
Knowledge of big data technology a plus
Experience with an IT asset management tool or CMDB is a plus
Solid critical thinking and analytical skills with the ability to proactively follow up on identified issues and gain resolution.Highly flexible and able to quickly adapt to changing priorities and manage multiple priorities concurrently

Senior Data Modeler Resume Examples & Samples

Develop application technology roadmaps
Guide strategic technology discussions and decisions
Lead efforts to improve process and procedures around software development
Provide technical leadership and guidance to the technology staff
Maintain documentation standards and versioning control
Adherence to security and compliance standards
Contribute to project estimation
Post-deployment support
6 + years industry experience (Mortgage)
Experience with creating and maintaining data definitions, data models (dimensional/snowflake), query optimization and OLAP tools is required as well as familiarity with metadata management, business semantics, and metadata workflow management
Ability to pick up new technologies, solve complex technical problems and multitask between different projects
Must be able to work independently as well as in a team environment
Demonstrated ability to work effectively in a fast-paced, deadline-driving environment
BS or equivalent degree in Computer Science or equivalent field

Data Modeler Resume Examples & Samples

Self-motivated and proactive in leading technology efforts
Develop a thorough understanding of business specifications and produce design and code artifacts that meet the specifications
Manage individual contribution or, potentially, group effort to tight deadlines
Proven Technical Leadership experience
3 + years industry experience (Mortgage)
Hands-on experience on building logical and physical models
3+ years’ experience providing technical leadership over large software development initiatives in blended
Very good command over SQL and workings of relational databases such as Oracle
Solid Architectural and Software life cycle experience for enterprise software
Experience managing onshore/offshore applications development services is a plus
Strong problem solving and analytical capabilities
Must be able to adapt to a rapidly changing environment

Data Modeler Resume Examples & Samples

Understanding of the methodologies that depict the flow of data within and between technology and business functions/operations
Ability to apply strategic data management, transformation, and warehousing principles and techniques
Skilled in data modeling concepts, techniques, and modeling languages
Ability to determine deliverables and approaches to deliver data models at the Enterprise or project level
Ability to design and develop logical and physical data models to meet needs of the organization’s information systems
Ability to maintain data integrity by working to eliminate redundancy
Ability to coordinate data models, dictionaries, and other database documentation across multiple applications
Ability to effectively present and communicate data definitions and relationships using business terms
Experience assessing legacy system data and incorporating into an enterprise view
Experience with defining, implementing, and analyzing metrics and measurement programs
Excellent verbal, interpersonal and written communication skills
Problem solving skills with ability to analyze situations, identify existing or potential problems and recommend solutions
6+ years related experience, including development of data centric applications, OLAP, predictive modeling, business intelligence and data warehouses
Ability to obtain a sensitive security clearance from the Postal Inspection Service

Senior Data Modeler Resume Examples & Samples

Reduce costs and enhance agility through IT portfolio complexity reduction
Mitigate business risk through architecture documentation, standardization and project governance
Support increased business flexibility by promoting pan-enterprise interoperability; and
Increase the speed of business capability enablement through IT-business alignment, technology innovation, and solution design
Solid understanding of transaction and information systems, data warehouses, data marts, ODS, MDM methodologies and life cycles as well as ETL and MDM technologies
Strong working knowledge of ERwin Data Modeler
Familiarity with performance tuning techniques in Teradata, Oracle, SQLServer, and DB2 environments such as partitioning, conditional RI, Bitmap indexes, Mviews, CUBEs, Dimension and fact definitions as well other de-normalization techniques
Knowledge of and experience with leading data management platforms and market data providers
Experience with ETL tools; especially IBM InfoSphere Information Server version 8.1 and higher
High energy and drive. Laser-focused on delivery with strategic-thinking, collaboration, facilitation, negotiation and motivational skills
Able to serve as evangelist of the architectural vision, strategy, and principles
3 to 5 years of experience working with financial services preferably with annuity, insurance, fixed income or mutual funds products
Working knowledge of IBM's Banking and Financial Data Warehouse Industry Models, IBM's Insurance Information Warehouse Models
Excellent planning and execution skills with a proven ability to establish and meet impactful goals and objectives with regard to data integration
Strong skills in normalization and 3NF structures supporting enterprise warehouses and a solid understanding of dimensional modeling
Thought leader who is innovative, entrepreneurial, well respected and actively sought out. Is considered an authority by peers
Courage to push difficult or unpopular perspectives
Self-starter who solves complex technology and operational problems/issues with little to no guidance from senior management. Seeks senior management advice and guidance as needed for critical decisions with broad business exposure and high risk

Senior Data Modeler Resume Examples & Samples

Translate Business Requirements to Conceptual and Logical Data Models (ERDs – Entity relationship Diagrams)
Create Physical Data Models (ERDs), of different types, from Logical Data Models
Recognize the need for a specific relational design – OLTP, OLAP, Data Warehouse – from a set of project requirements, and/or from a Logical Data Model
Mapping of Logical to Physical Data Models and vice versa
Create DDL from Physical Data Models
Work closely with Database Engineering to move DDL to Test and Production environments
Evaluate other Modeler’s logical and/or physical data models for (a) adherence to LDM modeling principles, such as 3NF (b) adherence to CST Standards and Guidelines and (c) a match between business requirements and model content
Participate in model design reviews and testing
Explain/ teach classical Conceptual, Logical and Physical Data Modeling
Manage multiple assignments simultaneously, while working independently, and with other engineers and SMEs
Identifying, recommending and implementing emerging Modeling and IT trends, developments, tools and improvements/solutions

Lead Data Modeler Analyst Resume Examples & Samples

Database design and modeling
Maintains strong data governance discipline
Highly effective at facilitating data requirements sessions for complex applications
Leads data requirements, and data modeling sessions
Data quality and integrity analysis
Creates Target State Data Models that accommodate strategies across JPMC. Responsible for coaching and mentoring less experienced team members
5-7 years of experience in developing conceptual, logical and physical database design for OLTP and OLAP systems
3 years of data modeling using Erwin and DB2 required
Solid experience in relational modeling, dimensional modeling, conceptual, logical modeling, physical modeling, star schema, snowflakes schema, ER diagrams, granularity, cardinality and database reengineering
Strong experience on data analysis, business analysis, user requirement gathering, user requirement analysis, gap analysis, gathering metadata data cleansing, data transformations, data relationships, source systems analysis and reporting analysis
Strong Analytical skills and the ability to work through ambiguity to define structure and order

IT Data Specialist / Senior Data Modeler Resume Examples & Samples

The candidate will have the requisite data modelling skills and experience necessary to provide the high quality deliverables
The candidate will develop the Enterprise Logical Data Model (LDM) from a Corporate Conceptual Model (CDM)
The candidate will facilitate Joint Application Design (JAD)sessions with key stakeholders to determine data requirements and translate these requirement into Logical Data Model (LDM) and Physical Data Models (PDM)
The candidate will manage models in and out of the centralized model repository, and documents data model translation decisions
Additionally, the candidate will have the interpersonal skills necessary to interact with data architects, business analysts, data integration specialists, DBAs, project managers, and other IT professionals in order to fulfill a critical part of the TDI IM team
10 yrs + in the Data Warehousing, Business intelligence domain
Proven capabilities in the creation of conceptual, logical, and physical data models as they relate to data warehousing and business intelligence domains
Knowledgeable in both normalized and denormalized data model design and implementation
Able to demonstrate experience using data modeling tools such as Power Designer (preferable), Erwin, or equivalent
Solid experience with Financial Industry Standard Data Models, such as Teradata FS-LDM or equivalent
Good knowledge of the Insurance domain
Ability to create and support a positive work environment that promotes service to the business, quality, innovation and teamwork
Strong leadership skills with the ability to build strong relationships with business partners , vendors and TS teams
Excellent written, verbal and presentation skills in both English and French with ability to communicate clearly within all levels of the organization, as well as with external partners
Tools & Technologies: Power Designer, IBM InfoSphere suite and metadata repository, Hadoop, Oracle, DB2, SQL, SQL Server, SAS, Cognos , Apache Hbase, Apache Hive

Senior Data Modeler Resume Examples & Samples

Work closely with analysts and business users to refine and understand requirements and limitations of source data
Design of message model that meets immediate needs but also provides flexibility for future use in target systems and the wider community
Design of Operational Data Store and Data Life Cycle therein to persist data from the messaging layer
Ensure data standards and best practices are applied
Hands on data design using Embarcadero ER Studio
Minimum five years’ experience of Investment industry data modeling. Other industry modeling experience may be considered
Expert level knowledge of normalisation and data modeling techniques
Advanced understanding of data types used in the fund management industry
Advanced knowledge of Embarcadero ER Studio
Knowledge of messaging technologies and modelling data for such
Knowledge of design and constructs of XML
Experience of SQL Server and Oracle databases
Ability to conduct complex analysis and present data in a meaningful way
Strong organizational skills and detail orientation
Has proven analytical and problem-solving traits
Open minded, flexible, and willing to listen for other people’s opinions
Interpersonal skills necessary to effectively communicate over the phone with a variety of individuals at all technical levels are required

Senior Big Data Modeler Resume Examples & Samples

Design, develop and maintain conceptual, logical and physical data models for Big Data
Bachelor’s in Information Systems or an equivalent experience
5 years experience on developing logical and physical data models; preferably 2 years within a

Enterprise Solutions Data Modeler Resume Examples & Samples

Design, model and implement conceptual model that extends our current tag-based model into a, broadly speaking, semantic model of Bloomberg Data
Coordinate conceptual data models, dictionaries, and other database documentation across multiple applications and across multiple internal customer bases and interests
Act as a liaison between Business, R&D, and Global Data departments
Provide expert guidance and support to global business
Solid understanding of conceptual, logical and Physical data models
Experience of data modeling in UML or Entity-Relationship models
Knowledge of XML schemas and concepts such as XSD, super/sub type, domains, ranges
Working knowledge of at least one semantic modeling language (OWL, RDF, etc.)
Strong project management, analytical and organizational skills
Strong negotiation and communication skills
Demonstrated ability to research problems and develop solutions
Ability to multi-task and work independently, as well as within a team environment
No minimum education. Relevant Bachelor's degree, Master's or Ph.D preferred

Associate Data Modeler Resume Examples & Samples

Create, manage, and modify logical and physical data models using a variety of data modeling philosophies and techniques
Interact with application development, enterprise architecture, technology services, and vendors on a regular basis
Design, document and develop data warehouse implementations
Develop and enforcement data modeling standards
Remain current on database technology trends and upcoming database releases. Provide guidance on database technology direction
Proactively investigate database query log data to find opportunities to improve performance in OLAP and OLTP queries executing against the database
Up to 2 years working experience with in a data warehouse analyst role or implementing data warehouses with relevant experience
Strong Level SQL knowledge
Basic understanding of various data modeling techniques
ERwin or comparable data modeling tool
4 Year BA/BS in Computer Science, MIS or Business Administration

Senior Data Modeler Resume Examples & Samples

10+ years of experience with Data Strategy and Modeling
Experience with data design and strategy for enterprise level technology systems
Awareness of other modeling techniques, UML experience is a plus
Familiarity with reference data at the global and local level is required

Data Modeler Resume Examples & Samples

Oversee, govern and guide data related activity on your projects
Propose and promote best practices in the area of data architecture
Proactively identify and promote improvements and optimizations in the data architecture area
Execute reviews of technical documentation and code reviews, from the point of view of respecting the principles and rules of data architecture
Create Logical Data Models for domain applications
Define and Manage data flows within applications
Define mappings between data feeds and Logical Data Models
Multi-cultural experience, including participation in remote teams in different geographical locations
More than 2 years of experience in designing and working with large scale data models
Knowledge in data architecture
Expert in DB technology; Oracle is a must
DWH experience
Experience in using meta-data tools
Data modelling, data modelling tools (e.g. PowerDesigner)
PL/SQL & stored procedures
Data integrity tools

Data Modeler Resume Examples & Samples

Interact with Data Warehouse team to design, create and verify data models
Ensuring the completeness and comprehensiveness of data structure by integrating the sources for newly identified data points
Ensuring the accuracy of the data points through automated and manual checks
Design, develop, and test SQL scripts to import, modify and enhance data to meet customer requirements
Participate in business requirements and work directly with business units to define and prototype applications/visualization tools
Demonstrating applications/visualization tools to internal users
Communicating with stakeholders to gather requirements for new ideas and report updates
Investigating problems to establish real or hidden causes and solves complex problems with creative solutions
3+ Years of experience with at least one of the following
BI Concepts and Reporting
Data Analysis and SQL
2+ Years of experience in investments related work
MBA, CFA, and/or CAIA
Qlikview / Data Analysis and SQL
Scrum Methodology / JIRA
Web/App Design
Excellent problem solving skills, logical process thinking
Detail oriented with strong organizational and analytical skills

Data Modeler Resume Examples & Samples

To develop data models in support of integrated business reporting and data exchange
To implement data models on our data warehouse
To perform data profiling on source system data to ensure that source system data can be integrated and represented properly in our models
To assist ETL and report developers with best usage of the models
To provide assistance and guidance during the QA & UAT phases to quickly confirm the validity of potential issues and to determine the root cause and best resolution of verified issues
Bachelors degree in Computer Science, Software Engineering, Information Technology, or related field required
At least 7+ years of experience in data development and solutions
At least 7+ years for SQL experience with the ability to write ad-hoc and complex queries to perform data analysis
Ability to create E-R data models (conceptual, logical and physical)
Strong understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal BI-Temporal models, etc.)
Relevant and substantial work experience with business requirements definition and management (end to end), structured analysis, process design, use case documentation, UML process and use case definition
Understanding of IBM DB2, Informatica, and DB2 stored procedures a plus
Strong understanding of the Financial Services industry and content lifecycle relating to Risk, Regulatory, Audit and Compliance needs
Strong problem solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements and priorities
Overall technical understanding of data warehousing, business intelligence, web and other multi-tiered, distributed applications/systems

Lead Data Modeler Resume Examples & Samples

Performs data analyzes and design, and creates and maintains large, complex logical and physical data models, and metadata repositories using ERWIN and MB MDR
Proficient in multiple business disciplines, functions, and knowledgeable about the business' strategic direction
10 years of experience in developing conceptual, logical and physical database design for OLTP and OLAP systems
Extensive experience in enterprise data warehouse and operational data store architectures
Experienced in data transformation, data mapping from source to target database schemas, data cleansing procedures
Experienced in master data management (MDM) projects and solutions
Strong Communication skills, both verbal and written, is required

Business Intelligence Data Modeler Resume Examples & Samples

Toronto – 100 Wynford Dr, Toronto, ON M3C 4B4
Mississauga – 5099 Creekbank Rd, Mississauga, ON L4W 5N2
Analyze and follow existing data management conventions and standards, naming and metadata standards
Gather reporting requirements through meetings with business users and IT resources
Consult with BI resources, architects, and business analysts
Develop and maintain conceptual, logical, and physical data models
Prepare technical documents for data mappings, data dictionaries, data lineage etc
Implement physical models and responsible for fine tuning and performance tuning
B.Sc. or M.Sc. degree in Computer Science, business or related discipline, or equivalent experience
Over 3 years of experience in Business Intelligence and Data Warehouse design, conceptual, logical and physical data modeling
Advanced proficiency in dimensional modeling and semantic data modeling concepts
Solid Teradata RDBMS and ETL experience with some major ETL Tool
Solid understanding of generic and conventional modeling approaches
A Passion for technologies and data architecture and the ability to effect change
Presentation and Project Management skills

Senior Data Analyst & Data Modeler Resume Examples & Samples

Enforcing Data architecture standards
Defining data dictionary, metadata management and database design
Database and SQL performance tuning
Demonstrable experience in developing, validating, publishing, maintaining LOGICAL data models with exposure to or experience in developing, validating, publishing, maintaining PHYSICAL data models
Demonstrable experience using data modeling tools - e.g., ErWin
Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project objectives - delivery dates, cost objectives, quality objectives, business customer satisfaction objectives, etc
10+ years any RDBMS experience
Experience with techniques for addressing performance issues and ability to Tune SQL Queries
Expert skills and understanding of advanced data warehouse architectural principles

Data Modeler Analyst Resume Examples & Samples

Participate in the analysis and design of system solutions to meet business and technology needs
Develop logical and physical data models using ERwin
Design & document ETL specifications and meta-data repository
Optimize the utilization of data assets by governing investments via the Enterprise logical data model
3-5 years of Database Management/Administration experience
1-3 years demonstrated proficiency using Data Modeling tools such as: Erwin
Working experience in ANSI standard SQL is a must
Experience in developing operational environments
Experience with change management procedures and SDLC is a must
Experience with deployment of database changes
Demonstrated ability to investigate and learn new technologies and products is preferred
Solid interpersonal, negotiating, and marketing skills to work with users, senior management, and external personnel on significant matters, often requiring coordinated activity across organizational lines

Enterprise Data Modeler Resume Examples & Samples

Design and development of ontology data models (RDF) for dynamic and real-time data ingestion and distribution between various systems
Work with business and IT development teams to design solutions that are consistent within the larger Enterprise architecture
Review design of new projects and data model enhancements to ensure they are compliant with architecture standards, meets the platform capacity and performance needs, and maximize solution re-use
Act as cross-functional subject matter expert and data model evangelist for multiple teams within the organization
Mentor and train junior level resources by assisting to develop their skills and transfer knowledge
5+ years working experience with relational data modeling, including but not limited to toolsets like Erwin, Embarcadero etc
Familiarity with NoSQL concepts and the ability to think outside the relational model is a must
Ability to query, analyze and understand the meaning and content of financial business data in relational databases
Proficiency in semantic web technologies (RDF/OWL/SPARQL) is a huge plus

Business Intelligence Data Modeler Resume Examples & Samples

4+ years of experience in ETL, Business Intelligence, analytics or reporting/data visualization platforms
4+ years of experience in multidimensional data modeling, such as star schemas, snowflakes, denormalized models, handling “slow-changing” dimensions/attributes
4+ years of experience with SQL coding across standard commercial databases

Data Modeler Resume Examples & Samples

BS Degree in a related field
5+ years of experience in data warehousing and data modeling
Must be able to obtain a Public Trust clearance
Able to commute to Falls Church, VA daily

M HIS Solutions Data Modeler Resume Examples & Samples

Design and support of data models using Embarcadero ER Studio
Conduct data profiling and data mapping
Maintain data warehouse architecture and metadata standards
Collaborate with Enterprise Architects (BI, Data, and Technical) on best practices, standards, and strategic planning
Work closely with Business Analysts and Subject Matter Experts to identify key business drivers for the data warehouse using a broad base of skills including facilitation of requirements gathering and mapping data to the logical and physical data models
Perform data analysis and review with the business stakeholders to refine requirements that will be mapped for ETL developers
Maintain an enterprise metadata repository (data dictionary, data mappings, data lineage)
Minimum of one (1)+ years of experience in design, development, modification and testing of multi-terabyte databases designed to support Data Warehousing and BI analytics using dimensional/star-schema based data structures
Minimum of three (3)+ years of experience in writing complex SQL queries for multi-terabyte data warehouses
Minimum of two (2)+ years of experience performing requirements analysis including data flow diagrams, source to target data mappings, and definitions in a Business Intelligence/Data Warehouse environment
One (1)+ years of experience using database modeling tools (ER Studio, Erwin, Power Designer etc.)
Two (2)+ years of experience working in the Healthcare industry
Work as a member of an agile development organization
One (1)+ years of experience utilizing Data Vault 2.0 modeling
One (1)+ years of experience designing multi-terabyte data warehouse databases using RDBMS technologies, such as Microsoft SQL Server, Oracle, or DB2
One (1)+ years of experience modeling operational data stores (ODS)
One (1)+ years modeling for OLAP technology
One (1)+ years of experience with modeling for MicroStrategy or other business Intelligence tools such as Business Objects or Cognos
Experience working in a SaaS BI and Data Warehousing environment
Knowledge of medical claims data including claim, member, provider, clinical, etc
Experience modeling for unstructured data
Experience working with ETL developers, BI architects, and report developers to communicate database designs
Creating design documentation for relational and dimensional data structures
Experience consolidating data from disparate systems is preferred
BI data architecture knowledge in designing, developing, and implementing data warehouse and business intelligence solutions with Microsoft SQL Server and MicroStrategy
Strong problem solving skills to breakdown complex relationships
Must be self-motivated and able to work with minimal supervision

Enterprise Data Modeler Resume Examples & Samples

Develop the LDM, utilizing ERWin and adhere to the data governance standards (i.e. naming conventions)
Work closely with the data governance working groups to determine data rules and holds LDM review sessions with both the governance and data quality teams and any subject matter experts (SME's) from the business as appropriate
Responsible, in conjunction with the Data Governance Domain Lead Manager (with assistance from the data governance working groups), to develop the ontology used to map the organizations global data to the common model in order to enable global reporting
Works closely with the data quality team in understanding data profiling results and mapping physical data layouts to the common model and ensuring that the physical representation of data matches/corresponds to the stated data definition in the LDM
Work closely with other data modelers in Kimberly-Clark, along with the ETL developers, data warehouse architects and any other associates that will use or interface with the common model, especially those associated with the Enterprise Data Warehouse and Data Marts
Data Analysis: The investigation, evaluation, interpretation and classification of data, in order to define and clarify information structures which describe the relationships between real world entities. Such structures facilitate the development of software systems, links between systems or retrieval activities
Data Management: The management of practices and processes to ensure the security, integrity, safety and availability of all forms of data and data structures that make up the organization's information. The management of data and information in all its forms and the analysis of information structure (including logical analysis of taxonomies, data and metadata). The development of innovative ways of managing the information assets of the organization
Information management: The overall governance of how all types of information, structured and unstructured, whether produced internally or externally, are used to support decision-making, business processes and digital services. Encompasses development and promotion of the strategy and policies covering the design of information structures and taxonomies, the setting of policies for the sourcing and maintenance of the data content, and the development of policies, procedures, working practices and training to promote compliance with legislation regulating all aspects of holding, use and disclosure of data
Information security: The selection, design, justification, implementation and operation of controls and management strategies to maintain the security, confidentiality, integrity, availability, accountability and relevant compliance of information systems with legislation, regulation and relevant standards
Information systems coordination: Typically, within a large organization in which the information strategy function is devolved to autonomous units, or within a collaborative enterprise of otherwise independent organizations, the coordination of information strategy matters where the adoption of a common approach (such as shared services) would benefit the organization
3+ year's experience in logical data modeling preferably developing a common data model
Master level experience with ERWin
Experience with CPG Industry logical data model
Ability to communicate strategies and processes around data modeling and architecture to cross functional groups and senior levels
Proven experience in navigating complex organizations, creative problem solving, and rational experimentation
Experience and knowledge developing strategic planning, leadership, and organization delivery for "Mater Data Management" across a Global Enterprise
Ability to work in a virtual team which may work across distance (remote), cultures and time zones, in a matrix with multiple reporting lines, and may extend outside the K-C organization including suppliers, partners and customers
Verbal and written fluency in English is mandatory

Data Modeler Resume Examples & Samples

Develop design document for data mapping and data transformation processes
Identify and enforce data standards to ensure consistent and maintainable structures in the data warehouse
Analyze data in source systems to assess data quality
Data Modeling: Level I: 0-2 years experience as a modeler: Level II: 2-5 years experience; Level III: 5+ years experience
3-5 years experience with SQL in Health Care IT
Documenting and analyzing workflow and clinical processes
Leverage and enforce standards for data naming conventions to ensure consistency and reuse of data models
Experience in developing, publishing, and maintaining all documentation for data models
Ability to manage and prioritize complex requests and maintain progress towards project goals
Individual contributor that works under limited supervision
Ability to effectively lead a project team

Data Modeler Resume Examples & Samples

3 years' experience
Working with SQL
Working with large database management systems (Teradata, DB2, MSSQL, or Oracle)
2 years' experience
Using data modeling tools (ERWIN or ER Studio)
Working with ERP data (JD Edwards or SAP)
1 year experience
Conducting performance tuning and query optimization through Teradata BTEQ
Working with SAP AFS retail industry solutions
Developing complex performance tuning reports in COGNOS, or similar report tool such as Tableau or Qlik View; and
Deploying and supporting large, complex data warehouse/business intelligence solutions

Data Modeler Manager Resume Examples & Samples

A Data Modeler Is viewed as an expert in IT systems architecture
Undertakes complex projects requiring additional specialized technical knowledge
Makes well-thought-out decisions on complex or ambiguous IT architecture issues
Coordinates with users to determine requirements
Ensures that system improvements are successfully implemented and monitored to increase efficiency
Establishes and communicates common goal and direction for team
Acts as a resource for direction, training and guidance for less experienced staff
Monitors project schedules and costs
Typically requires six to eight years of experience
Partnering with Enterprise Data Architects, Application Development and Operational Data Administration personnel to translate business needs into a data model that will be the basis for a solution that closely aligns with business requirements. Work to be performed includes
Create the logical data model and work closely with the Database Administrator with the translation of the logical model into a workable physical model using a recent version of an appropriate CASE tool
Generation and testing of ddl from CASE tool
Knowledge of database architecture, performance design methodologies, and ability to make and implement physical tuning recommendations
Generation of Data Dictionary from CASE tool
Experience developing logical and Physical data models
Knowledgeable and demonstrated experience in Data models for data warehouses and data marts
Data standards and metadata management
Data modeling methods and tools
Primary role as a Data Modeler/Database Architect for >5 years
Experience in Relational Data Modeling and/or Star Schema/Dimensional Data Modeling
Expert development skills in normalized and de-normalized data model development
Understanding
Experience with one or more DBMS, including Teradata, DB2, Oracle, SQL Server, and other database environments
Proficient in data warehouse / systems development methodologies
Strong development using multiple OLAP cube technologies
Understanding of Data Profiling and Quality tools (preferably IBM DataStage)
Expert modeling tool development experience in one or more CASE tools, including Erwin and PowerDesigner
Expert in data sourcing and data mapping skills
Strong teamwork and interpersonal skills and ability communicate with all management levels
Leads others toward technical accomplishment, collaborative project team efforts and achievement of important project goals
Strong written and oral communication skills, including technical writing
Strong analytical and conceptual skills
Agile methodology experience a plus
Positive, can-do attitude

Data Modeler Resume Examples & Samples

You have worked in IT for at least 3 years with experience as a Developer or you have a Computer Science or Programming Degree with supporting work experience
You have worked on the development of a data model that supports a broadly implemented technology stack
You have the ability to translate system requirements into a logical data model. Bonus points if you have a working knowledge of specific Business Intelligence Reporting Technologies
You love data specification creation, data modeling and database structure and have a track record of successful engagements
You love learning and champion change
You are fun to be around and WOW, can we count on you

Data Modeler Resume Examples & Samples

Provides senior level data modeling services, including updating and building logical database models for regularly scheduled releases, including those for new databases with large numbers of users and interfaces. Evaluates completeness and accuracy of data models
Uses a variety of information gathering techniques (e.g., interviews) to gather complex business data requirements from internal business clients and development teams. Analyzes data requirements. Provide conceptual and technical modeling assistance to developers. Validates data models with IT team members and internal clients
Reviews data models with lead to assess the impact of the new model on the enterprise model. Identifies data sources and areas of overlap, and facilitates data sharing
Participates in Inspections, data analysis, and data discovery sessions. Attends operations engineering review (OER) meetings to address data modeling changes to reviewed databases and the enterprise database
Works with senior DBA staff to transform logical database models into physical database designs
Creates and writes documentation, including procedures. Administers document repositories
Collects and maintains meta data
Trains and mentors staff with less experience. Resolves complex issues elevated from staff with less experience
Thoroughly understands and complies with IT policies and procedures, especially those for quality and productivity standards that enable the team to meet established client service levels. Thoroughly understands and complies with Information Security policies and procedures
2-5 years data modeling experience, including experience with business requirements analysis, entity relationship design, and data normalization experience
Strong written and oral communication skills, including interviewing and group facilitation skills
Strong analysis and problem solving skills
Understanding of the financial services industry
Advanced knowledge of the following data modeling practices and concepts
Meta data
Technical standards and deliverables
Relational database implementations
Business requirements analysis
Entity relationship design
Data normalization
Work flows
Advanced knowledge of current versions of the following products
DB/2
ERwin
Lotus Notes
Microsoft Office Suite
Sybase
Advanced knowledge of current versions of the following products, preferred
Microsoft Access
Microsoft Project

Senior Logical Data Modeler / Analyst AIM Resume Examples & Samples

BA/BS degree in related discipline
Minimum of 3 years of experience in logical data modeling and data analysis
Or any combination of education and experience which would provide an equivalent background
Minimum of 5 years of overall information technologies experience preferred
Minimum of 5 to 10 years of logical data modeling and data analysis experience would be ideal
Strong Data Modeling and data analysis skills
Full life cycle experience in Data Management/Architecture
Demonstrated logical and physical modeling experience with large scale, multiple business solutions across divisions or enterprise
Understanding of the methodologies and technologies that depict the flow of data within and between application systems and business functions/operations
Understanding of fundamental concepts and architectural principles of Data Management
Good decision-making capabilities possessing both conceptual and analytical skills
Ability to interact with ETL Architects, Developers, DBDs and DBAs on how the model works and be able to make enhancements based on new and future requirements
Ability to communicate to business users and program sponsors the decisions made in the data model for optimal performance
Able to communicate effectively with all levels in a clear and professional manner, both verbally and written
Demonstrated experience to develop consensus across work teams
Ability to work in a fast-paced environment and comfortable working across multiple teams and business units
The ability to problem-solve, prioritize projects, and multitask
Possess competency in all phases of software development

Standards Data Modeler Resume Examples & Samples

Bachelor’s degree in engineering, or related technical field, or equivalent experience
6+ years of systems engineering, systems integration, or systems development experience
Proficiency in logical data modeling, including developing and/or using UML (Unified Modeling Language) Class Diagrams
Knowledge of Object-based / Oriented Modeling concepts
Experience developing logical data models
Demonstrated ability to work in a multi-contractor / government organization
Demonstrated ability to develop and present effective technical presentations to senior management; must possess strong written and verbal communications skills
2+ years of experience with data standards, data modeling, and metadata management
3-5 years of related experience with NGA or its IC partners
Experience with NSG Application Schema (NAS), NSG Metadata Implementation Specification (NMIS), and/or NSG Metadata Foundation (NMF) implementation / programming
Knowledge of ISO 19100 series standards related to metadata, geography, GML, application and implementation of schemas & schema registries, & OGC exchange
Experience with the policies and practices of the following Standards organizations: ISO, ISO/IEC, INCITS L1, Open Geospatial Consortium (including the North American Forum), NATO and Coalition partner organizations
Knowledge of the following Standards organizations and their policies and procedures: Open Geospatial Consortium, ISO, GWG
Experience with OCL (Object Constraint Language)
Experience using eXensible Markup Language (XML) encoding
Experience with Agile development methods

Data Mart Data Modeler Resume Examples & Samples

Uses relational analysis and dimensional analysis and produces logical and physical data models
Uses Star and Snowflake schemas to deliver data marts
Uses SQL Data Definition Language/SQL Queries with an Oracle RDBMS
Uses data modeling tools such as Erwin
Works individually and in a team, solution-oriented environment
Assists technical teams, developers, ETL, BI, and end users in understanding the data model
Minimum eight (8) years of data modeling experience required
Minimum seven (7) years SQL experience with data definition language and queries required
Minimum seven (7) years of experience with Oracle RDMS required
Minimum seven (7) years of experience working with data modeling tools such as Erwin required
Experience delivering data marts using Star and Snowflake schemas
Experience with data analysis (SQL), data profiling, and data mapping is preferred
Experience leading and coordinating tasks within an enterprise level program is preferred
Experience with managing metadata for the data model is preferred
Experience evaluating existing data models and physical databases for variances and discrepancies is preferred
Experience leveraging and enforcing standards for data naming conventions is preferred

Logical Data Modeler Resume Examples & Samples

Work closely with business and IT subject matter experts and map their requirements into Conceptual and Logical Data Models
Develop and update Logical Data Models to support complex, data-centric envisioning and application release decisions
Identify opportunities to unify disparate but common data concepts across multiple enterprise systems
Work with appropriate business and IT leads to incorporate data modeling and data quality best practices into IT solutions roadmaps

Data Modeler With Nosql Experience Resume Examples & Samples

Participates in coding, testing and debugging new software or significant enhancements to existing software
Analyzes complex technical and/or Level 2 system problems; designs and implements effective solutions
Works with technical staff and business to understand problems with software and develops specifications for improvements and enhancements
Responsible for developing, testing, implementing, troubleshooting and resolving issues related to system performance, ETL applications, and data integrity
Responsible for quality assurance review
Manage scheduling, support, tools and maintenance of integration processes
Interaction and collaboration with other team members, business users, software vendors
Work with business users on trouble tickets and provide remedial solution to the issues
Data Modeling concepts (Advanced Level)
Well versed with Data Modeling platforms like Erwin etc.,
Good knowledge about Database Designing / Administration
Over-All understanding of Database space (Databases, Data Warehouses, Reporting, Analytics)
Open to learn new technologies in-line with organizational needs / direction
NoSQL and MongoDB experience is must

Data Modeler Resume Examples & Samples

Leads requirements gathering sessions with subject area experts to identify and document data requirements, definitions, data dependencies and relevant business rules. Capture detailed data requirements both at the enterprise level and for specific initiatives
Perform development or maintenance work on data models,, data dictionaries, event models, CRUD matrix, or other artifacts to maintain currency with corporate standards, integration with enterprise data architecture and company goals
Conduct or perform data modeling exercises in support of subject areas and/or specific client needs for data, reports, or analyses, with a concern towards reuse of existing data elements, alignment with existing data assets and target enterprise data architecture. Ensure that all artifacts be developed according to SDLC standards and procedures
Confer with business units and technical staff to understand data usage, lineage and attributes
Contribute to initiatives development cycle, providing guidance for the structure, storage and forms in which data are stored, retrieved, and represented
Integrate models and ensure that definitions are consistent, vetted by business and re-useable across the enterprise
Review junior team members’ data models
6+ years of related experience
4+ years of progressive experience to support data warehouses, data mart implementations in Financial Services including data quality, architecture and meta-data management
Demonstrated experience in utilizing best practices and data management tools
Demonstrated ability working with multiple customers and solving complex data problems
Strong knowledge of Finance and Accounting concepts
5+ years of experience in business intelligence tools (Microstrategy, Business Objects, OBIEE, Hyperion Planning and Essbase)
4+ years Business Objects development experience
Must be proficient in SQL
Experience with software development life cycle (SDLC)
Experience with HP Quality Center and IBM Rational DOORS
Experience with Tableau and SpotFire a plus

Data Modeler Resume Examples & Samples

Good understanding of Secondary Mortgage Business and MISMO standards
Solid understanding of Data Management principles, specifically Data Modeling
Experience with large scale data processing scenarios (ODS, Data Warehouse)
Solid understanding of Business Intelligence and Analytics concepts
Solid understanding of Mortgage Backed Securities (MBS)
Good understanding of Fannie Mae Business Architecture (States & Events)
Good understanding of Fannie Mae Enterprise Conceptual Data Model
Knowledge of Data Modeling tools (ER/Studio, Erwin)

Data Modeler Resume Examples & Samples

Extensive experience in Data Modelling; including conceptual, logical and physical
5+ years with strong experience with modeling in a Data Warehousing and BI context (star schemas, BI modeling issues such as slowly changing dimensions, etc.)
Possesses strong hands-on modeling experience of time-series and temporal data and data patterns
5+ years’ experience using the ERWin tool
Expertise in developing SQL scripts to do ETL operations including large, complex SQL statements
Perform deep dive analyses into business requirements to define initiative objective & scope
Consult with the business partners to understand their requirements to proactively provide value added recommendations
Provide ad-hoc analyses/queries/reports from a wide variety of BI tools including MicroStrategy, Oracle data-mart tables, etc
Must be able to extract data from multiple data sources to synthesize information that is actionable and driven by facts
Ensure Data Management & team delivers high quality analytical support throughout the lifecycle of projects and other engagements
Confirm solutions deliver value to stakeholders and adjust as required by running JAD sessions during the requirements gathering and clarification phase
Ensure Solution & Design standards are aligned to organizational strategic objectives and departmental objectives by engaging the technical delivery team and architecture as required during the initiative lifecycle
Manage relationships with stakeholder groups with each interaction
Manage stakeholder expectation
Conduct review sessions with Solution Design and Development resources as required during the SDS & DDD phases
5+ years of experience conducting business analysis in the telecom/wireless industry to derive strong modeling in the Data Warehousing and BI context (star schemas, BI modeling issues such as slowly changing dimensions, etc.)
Extensive experience with business intelligence tools and concepts
Extensive experience consulting with business to translate business requirements into technical specifications, then into reports/dashboards for visualization
3+ years of experience in Oracle databases using complex SQL scripting
Experience with MicroStrategy, Tableau, Cognos or other BI tools
Quick learner with initiative and flexibility to deal with ambiguity
Proven analytical/business intelligence skills
Ability to work with large volume of data, translating business requirements into insightful information used to drive critical business decisions
Strong communication skills with experience working with stakeholders across the organization
Bias towards action oriented, flexible and adaptable
Oracle / SQL / Cognos / Microsoft SQL Server / SAS / MicroStrategy / Tableau
Undergraduate Degree in Business, Mathematics or equivalent experience with exceptional knowledge of business intelligence tools
Prior consulting experience considered an asset
Oracle / SQL / Cognos / Microsoft SQL Server / SAS

Data Modeler Resume Examples & Samples

Maintains and is accountable for the vision of all enterprise data models and multiple parallel product development initiatives
Maintains a strong understanding of the business or function for which the data or product is designed so that data definitions as well as supporting systems, or processes are aligned
Helps define key data standardization / harmonization initiatives that support business drivers and strategic direction
Establishes and maintains data governance, protecting the company’s primary asset (information) in collaboration with the Data Engineering & Management Teams
Drives the overall direction of HLI's information-based data standards and models
Develops and facilitates collaborative software design templates, ensuring that data definitions & interfaces are properly identified, designed/documented and maintained
Supports the Data Architect roles in building and maintaining the enterprise architectural platform that enables change-based growth Collaborates with the Data Services and external teams on business decisions and organization goals as part of the daily SCRUM activities and weekly Storytime / ARB meetings
Communicates and evangelizes technical decisions to non-technical stakeholders, other IT stakeholders and senior management Develops and maintains a customer-focused, agile, and accountable team view
Accountable for and manages adherence to enterprise data models and data design guidelines
Supports the delivery of technology solutions, documentation artifacts and programs
Remains abreast of data standards / technology developments and proactively aligns project goals with strategic business goals Communicates with staff or clients to understand specific product, functional, or non-functional requirements
Collaborates with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components
Assists with the data design activities for end-to-end applications, and other system-related information for internal and external facing solutions
Provides mentoring as a cornerstone of career development for all key contacts and technology team members
Work collaboratively with the Software Engineering and Bio Science Teams to implement commercial clinical grade solutions
Defines best practices and governance principles, while working with business stakeholders to ensure the clinical and corporate solutions meet data delivery and quality SLAs / KPIs
Ensures that critical application and information assets modeled as part of any project are represented in the enterprise Business, Application, Information and Technology architectures (BAIT) and follow the design guidelines and requirements of EA
Experience with Data Modeling Methodologies focused on Data Standardization leveraging Data Terminologies and Ontologies and evolving clinical / genomics standards, such as CDISC, GA4GH, OMOP
A bachelor's or master's degree in computer science, bioinformatics, information systems or other related field; or equivalent work experience
Strong communication and conflict resolution skills to help reconcile the different points of view and requirements that clash during cross-team and cross-organization efforts as part of broader data design efforts
Training in business process improvement and object oriented design / data modeling using various modeling tools such as EA Sparx, Erwin or similar tools
Deep understanding of business processes and the databases they access, and the flow of information between processes
Working knowledge in modern distributed data architectures and data storage techniques including HDFS and other distributed file systems and varying formats such as JSON, Parquet
Working Knowledge of RDBMS (MySQL, PostgreSQL, SQL Server) and NoSQL databases such as HBase, CouchBase, Vertica, MongoDB, Cassandra
Basic understanding of a programming language such as Java/Python/Scala and a shell scripting language and experience using version control tools like git
Experience working with Agile development methodologies and tools (Jira, Confluence)

Next Generation Data Modeler Resume Examples & Samples

Six years of progressive post-baccalaureate experience as a Data Architect or Data Modeler
Strong experience in data architecture standards and best practices and experience coaching other Architects in appropriate methods of data design, including conceptual, logical and physical data models
Strong experience in leading architecture, design and implementation of data architectures and frameworks across: data pipelines, data services, operational data stores, data warehouses, data marts, big data stores, big data analytics and business intelligence platforms
In-depth knowledge of data integration concepts, approaches, and tools and the role of data architecture in successful implementation of data integration strategy
Strong experience with multiple database technologies for relational, unstructured and Big data
Advanced analytical, problem solving, negotiation and organizational skills with demonstrated ability to multi-task, organize, prioritize and meet deadline
Strong written/oral communication and presentation/interpersonal skills
3+ years of experience with Apache Hadoop stack (e.g., MapReduce, Pig, Hive, HBase, Flume)
4+ years of experience with ETL (Extract-Transform-Load) tools (e.g., Informatica, Ab Initio, etc.)
Knowledge of NoSQL platforms (MongoDB, Cassandra, etc.)
Experience with Amazon AWS EC2/S3/RDS/Redshift
Demonstrated ability to provide technical oversight for large complex projects and achieve desired customer satisfaction from inception to deployment
Advanced knowledge of SQL, including the ability to write stored procedures, analytic/windowing functions, and tuning

Data Modeler Resume Examples & Samples

Work with technology teams to analyze data requirements (functional and non-functional) and provide data architectural designs solutions/reviews for business application and technology initiatives
Establish and document guidelines/practices for the team
Identify opportunities to streamline processes with best practices in data provisioning and management
Establish and contribute to Data Dictionaries and Business Data Glossary
Model Data Vault, and Data Marts
Work with development, application and other data architects to provide an overall solution approach
Mentoring and coaching other peers and team members on data issues
Provide input and technical support for the design and development of database systems
Advanced level Data Modeling (5-7 years)
Mustdemonstrate expertise in data analysis and data modeling
Excellent organizational, problem solving and communication skills
Ability to speak with the business to understand their needs and the format/security/availability of the data must be appropriate for the appropriate audience
Communicate the architecture to the organization to allow others to take advantage of data that is available or contribute to the data
Experience participating in development of standards and processes
Experience designing and architecting systems as a member of a design team
Strong verbal communication

Data Modeler Resume Examples & Samples

Work in a team of Professional Services consultants, architects and project managers who implement SAP and Big Data Analytics solutions
Provide SAP HANA modeling and Analytics expertise in the development of new solutions as well as the improvement of existing solutions
Being able to articulate & define analytics solutions being used by supervisory board, executive committees and senior managers
Deliver and lead industry-centric customer projects through providing Big Data Analytics for the desired business metrics
Ability to work as a visualization architect to recommend the best visualization stories for customer’s business KPI’s
Help customers harmonize master data and building data models (in HANA or other relational databases)
Will involve leading or participating in business sessions to identify and document business use cases
Meet clients, analyze their requirements, document and prepare project proposals
Review and contribute to solution knowledge base with specific areas of expertise, Develop and document enterprise knowledge in the form of technical articles, and best practices
Strong work ethics, driven, dependable, and responsible
Willingness and ability to learn quickly new Big Data and Cloud Analytics solutions
Ability to stay on top of technology innovations and eager to continuously learn
Must be a flexible self-starter who can ramp up with new technologies quickly and can adapt to a growing and rapidly evolving environment
Willingness to participate in the sales process as a subject matter expert
Ability to inspire confidence and work with all levels of client and internal staff. Ability to deliver clear, concise presentations to non-technical audience. High energy, clear goal orientation and strong work ethics; “can do” attitude
Ability to manage difficult situations at customer projects
Executive level presence required
Motivated, and able to work effectively under pressure situations
Ability to capture customer requirements and translate them into software specifications
Ability to present complex information in a clear and precise manner; with non-technical audience
Project Management exposure. Ability to manage risks and issues and escalate through proper channels
Master’s or Bachelor’s degree in Business Administration, Computer Science or Information Management
6+ years overall experience in business and technical roles, ideally in analytics
Track record of successfully implementing Analytics projects in challenging environments
Experience in SAP HANA modeling and SQL scripting is required
Experience in SAP BusinessObjects product suite is required
Strong in data warehousing and data modeling concepts

Data Modeler Resume Examples & Samples

Responsible for designing, planning, implementing and administering databases, including security, access, and documentation
Participates in the design, maintenance, enhancement, coding, and administration of relational databases
Analyzes and determines information needs and elements, data relationships and attributes, data flow and storage requirements, and data output and reporting capabilities
Participates in continuous improvement efforts in enhancing performance and providing increased functionality, including performing proactive maintenance such as ensuring continued space availability, monitoring activity, and documenting problems, changes, and solutions
Coordinates testing of designed applications
Provides guidance and work leadership to less experienced analysts, and may have supervisory responsibilities
8-10 years of related database analysis and/or administration experience

Data Modeler Resume Examples & Samples

Engage with Accountable Executives and SMEs across IB Functions, Business and Programs to drive the creation of Data Models for core Data Groups/Entities within the IB. Establish working groups, agree milestones and implement delivery plans for each intersect
Assist with strategic decisions on the frameworks and data modelling structures to be used by Data Modelling Team
Curate various Data Models and establish Working Model. Upload and maintain in central Sparx repository
Operate a robust review and signoff process that ensures Data Models are recognized as authoritative within the IB
Establish lineages between data models, data requirements and business requirements
Design and implement the strategy to govern Data Models in Sparx
Promote education in Data Governance within the IB – design creative training materials and ensure effective dissemination (including in person training events)
Four-year college degree
Experience in Entity – Relationship modelling, Object – Relational modelling, Class modelling
Knowledge of UML modelling, E-R modelling notation
Understands the trade-offs to 3rd Normal Form for Enterprise Modelling
Aware of trade-offs between System models & Enterprise models
In-depth experience of mapping Business Requirements to Data Entities and Attributes
A college degree in analytical or data driven discipline (Engineering, Physical Sciences, Finance, Information Technology)
MBA or other advanced degree
Previous experience working on Database solutions
Previous experience in Data Management consulting roles, Enterprise Data
Extensive experience of Sparx, including customization for enterprise environment, report production, building report templates and custom UI development
Experience using PowerDesigner or similar products
Experience working with colleagues spread across multiple global locations

Data Modeler Resume Examples & Samples

Assist with strategic decisions on the frameworks and data modeling structures to be used by Data Modeling Team
Knowledge of UML modeling, E-R modeling notation
Understands the trade-offs to 3rd Normal Form for Enterprise Modeling

Business Intelligence Data Modeler Resume Examples & Samples

Leads business information modeling for large, complex projects and ensures that project information conforms to corporate information architecture standards
Demonstrates domain knowledge of claims, membership, benefits and providers and clinical healthcare
Collaborates with business clients, IT and Business Intelligence staff, and management to assess information and resource needs, identifies data sourcing, application, and maintenance, determines project impact, and ensures integration across projects
Researches and evaluates alternative solutions and recommends the most efficient and cost-effective data management solutions
Identifies, researches and recommends new methods for supporting information management as it relates to data management
Develops high-level database architectures and ensures that database designs are consistent with KP's information architecture and information management standards as well as industry standards
Works with the Data Warehouse Architect to perform source system analysis, identification of key data issues, data profiling and development of normalized and star-snowflake physical schemas
Eight (8) years of information technology experience including a minimum of four (4) years experience designing, deploying, and maintaining relational (conceptual, logical, physical) and dimensional data models for data warehouse/business intelligence
Extensive experience integrating disparate systems into conformed dimensions
Strong hands-on ERwin data modeling tool experience
Experience with a range of relational database management systems (RDBMS) (Oracle, Teradata, DB2, etc.) and RDBMS tuning
Experience deploying and supporting large, complex data warehouse/business intelligence solutions (full life cycle)
Eight (8) years of information technology experience, preferably in large, complex organizations, including a minimum of four (4) years experience designing, deploying, and maintaining relational (conceptual, logical, physical) and dimensional data models for data warehouse/business intelligence
Prior experience in health care
Secondary degree in business, computer science or health care
Knowledge of data vault and hyper dimensional data modeling techniques

Data Modeler & Functional Architecture Engineer Resume Examples & Samples

Take an important and central role in the development process across departments and phases and act as X-stream CSD’s own subject matter expert
Take ownership and build X-stream CSD’s functional architecture
Design and develop the complex and highly sophisticated data model
In collaboration with Business Analysts, work with the customers for increased business knowledge and understanding in order to provide product specific guidance
Review and provide feedback on business requirements
Provide expertise and recommendations on software design specifications and test scenarios
Work with client base on data migration
You have an agile mindset and enjoy working under constantly changing conditions
You possess a strong drive to achieve results, and always look to exceed the expectations of stakeholders
You are a good team member and able to work efficiently both independently and in collaboration with others
You have a genuine interest in financial domain model and in particular the settlement and corporate action areas
You are an effective communicator as the role will require to liaise with development / business teams and with clients

MDG Data Modeler Resume Examples & Samples

Supports detailed data usage and data meaning analysis to support governance recommendations across various systems (SAP, Team Center, Quantum, Sales Force, etc.)
Supports analysis of adherence of data to business rules and compliance with laws and regulations (e.g. Government requirements and regulations, industry standards, etc.) and Honda Aircraft technical standards (naming, attribute definition, sizing, etc.)
Prepares and reviews additions to and changes to the overall master data model, including the subject areas, entities within subject areas, and attributes within entities
Reviews across subject areas changes to and impacts on the overall master data model
Collaborates with master data business analysts, master data modeling analysts and master data stewards to develop and/or refine the overall master data model
Provides support to technical staff to implement governance master data model recommendations within software and systems
Works with technical resources such as developers and database teams to test and validate master data governance model design and to ensure governance rules are appropriately implemented
Develops and maintains data model policies and standards based on management directives
Supports overall master data governance processes
Uses criteria, specifications, and rules for the definition (i.e. data standards) for the capture, creation, storage and usage of operational and analytic data models. Standards may include, but are not limited to, naming conventions, derivation and transformation rules, specific quality measures, etc
Bachelor’s degree in Business, Mathematics, Accounting, Computer Science or related field; Management may elect to consider years of experience in lieu of a degree
2+ years of directly related work experience is required; 5+ years of directly related work experience is preferred
Previous experience within one or more of the following areas is preferred
Working knowledge of data analysis, data model development, data model design, and some data model architecture along with knowledge of database related technologies (SQL, OLAP, etc.), data model software (such as ERWIN, VISIO, or equivalents)
Proficiency in MS Office (Word, Excel, PowerPoint, Access) and Lotus Notes is required
Ability to make decisions, identify problems, coordinate own resources and options, and implement changes
Ability to effectively communicate throughout all levels within the organization
Ability to present complex master data model ideas and concepts to a wide variety of audiences, both business and technical
Ability to work independently with minimal direction as well as within a team-oriented environment
Ability to work with junior business users as well as to work with highly technical individuals

IT Data Specialist / Data Modeler Resume Examples & Samples

Deliver logical and physical data models consistent with enterprise frameworks, standards and data strategies
Ensure integration of insurance data into the financial services logical models
Collaborate with the senior data modeler, architects, data mappers, business analysts, systems analysts and developers, and other team members as needed in order to provide the appropriate logical and physical database designs
Provide estimates for data modeling activities within projects
Support developers and DBA's responsible for delivering the database in a thorough understanding of the requirements and designs
Assess the technical characteristics of proposals and alternatives considered to optimize data base performance
Work in strategic partnership with development teams, delivery teams and infrastructure teams to continually identify and create opportunities to improve application efficiencies
Ensure understanding, compliance and adherence of TS internal work methods and procedures
Maintain and develop good interpersonal relations and ensure dynamic, constructive and quality communications with various partners and stakeholders
Data modelling, data warehousing, data integration
7 yrs + in the Data Warehousing, Business intelligence domain
Solid experience with Financial Industry Standard Data Models, such as Teradata FS-LDM or equivalent. Experience with Guidewire data models an asset
Ability to facilitate requirements and modeling sessions including user interview, document analysis, workshops etc
Good knowledge of technology platforms and tools supporting the Data management domain (ETL, data modeling, data lineage, relational and non-relational databases, distributed computing of large data sets, storage management, ..)
Highly organized, self-motivated, customer oriented and able to embrace and drive change

Data Modeler Resume Examples & Samples

Work with SMEs, Business Analysts and Technology teams to understand the data requirements and the full attribute set for entities and dimensions
Develop and maintain fully defined Logical and Physical data models for Operational and Analytical environments
Provides technical leadership for data management, design and development
Forward Engineer, implement and maintain database environments
Participate in code reviews to ensure appropriate and efficient use of the database structures
Develop and maintain quality metadata within the data models to be shared with business and other technology teams
Contribute towards development of data standards, data dictionaries, processes, and definitions of project and data requirements in support of strategy and ongoing operational support
8+ years of overall Information systems, services / consulting experience of which the recent 4+ years in data architecture / data modeling
Experience in data analysis, user requirement gathering, user requirement analysis, gap analysis, gathering metadata, data transformations, data relationships, source systems analysis and reporting analysis
Strong data modeling fundamentals including experience with 3rd normal form
Experience with data modeling tools (e.g. Erwin, Sybase Power Designer, EA, etc.) and understanding of IDEF1X
Experience in Forward and Reverse Engineering with Oracle
Excellent SQL skills and demonstrated ability to write complex SQL for purposes of analyzing data and/or evaluating how information needs might be translated into back end database structures
Hand on experience with Oracle and PL/SQL
Wealth management experience is heavily preferred
Experience with unstructured data through the design and development of content management solutions
Additional 3-5 years working in another role within a data warehouse team, such as business/data analyst, quality assurance analyst, ETL developer or BI / information delivery developer
Banking industry data model experience, such as BIAN
Agile experience

Senior Data Modeler Resume Examples & Samples

Performs senior-level responsibilities for the design, development, and implementation of data solutions and enterprise data models that meet business requirements and align with the overall Data Architecture and Enterprise Architecture
Works with various business owners and application development project teams to design and implement data models for NYC DOE systems on a wide variety of platforms
An expert in creating enterprise-level data models that allow business owners, policy makers, and business units to create reports and analyze data that originates from multiple disparate systems
Works with business owners and policy teams to develop large data structures that allow accurate and timely reporting of critical data with respect to student performance
Creates and maintains project documentation, including conceptual, logical, and physical data models
Develops and maintains an excellent business understanding of NYC DOE data, data terminology, and data definitions
Works with NYC DOE’s ESB team, data architects, SQL developers, and reporting teams for the development and implementation of the Enterprise Data Model and strategy development plans for usage by Operational Data Stores, data warehouses, and other data repositories across DOE
Stays current on and evaluates new and emerging technologies and standards for feasibility and implementation at DOE
Creates effective data integration solutions utilizing data expertise and knowledge regarding customers and associated data across DOE to meet the business needs
Creates data models that promote data sharing, data consistency and data reusability across DOE
Leads and manages the review of data quality deliverables of all phases and enhancements
Collaborates with business units and data owners to successfully implement and maintain a DOE enterprise-level business analytics and data warehousing solution
Ensures that operational and analytical data warehouses are able to support all business requirements for business reporting across the organization
Leads the design of data handling and cleansing, and standardization procedures and business transformation rules and logic
Leads and conducts regular data model processes, policies, and vision for purposes of identifying and implementing improvements
Adheres to and enforces all data exchanges and integration standards
Develops guidelines and best practices to ensure standardization and consistency across projects and systems
Contributes to developing transparent and well understood enterprise data governance processes, rules and technologies to support them
Responsible for creating and maintaining documentation of standards, processes, procedures, and other relevant documentation
Provides extensive expertise in enterprise data and information management methods and standards
Works with other data modelers and the SQL development team to identify and promote best practices for data modeling within information areas across the Department of Education, which may include providing oversight for all activities related to data cleansing, data quality and data consolidation using industry standard data modeling methods and processes
Displays demonstrated abilities in communicating the overall customer data models to both technical and business constituencies
Education and/or experience equivalent to "1"or "2"above. College education may be substituted for up to two years of the required experience in "2"above on the basis that 60 semester credits from an accredited college is equated to one year of experience. A masters degree in computer science or a related computer field may be substituted for one year of the required experience in "1"or "2"above. However, all candidates must have at least a four-year high school diploma or its educational equivalent and at least one year of satisfactory full-time experience in a project leader capacity or as a major contributor on a complex project

Data Modeler Resume Examples & Samples

The success and timely management of all phases of the project from project initiation to post implementation, effectively managing the end to end project management activities for strategic Data Management deliverables at the offshore location
Manage and deliver across a complex distributed / matrix organizational environment
Candidate will be responsible for managing the development aspects of overall technology release cycle, scope, and quality on time and on budget
Strong technical project management focus, with proven stakeholder management experience at an offshore location
To work with internal delivery leads to effectively manage program requirements and expectations
To create, review and maintain project plans with all relevant parties involved
To proactively monitor overall project progress, resolving risks and issues and initiating corrective action plans as appropriate
To act as the central point of liaison and coordination with all stakeholders throughout the project lifecycle for development activities
To work with internal technologists and project manage the implementation of solutions, ensuring functionality, infrastructure and processes are in place
To manage the development activities of multiple concurrent projects of varying sizes/complexities
Developing and maintaining program plans/milestones and coordinating program activities while tracking accomplishments and results
To actively manage scope changes and the impact to the overall plan
To demonstrate knowledge of the supported/related business area
To report on management of project budgets and report to Seniors of the status of development budgets
To provide regular communication to management and the stakeholders of project status, including risks & issues and mitigations
To provide analytical, technical, business and management expertise to the group
To adhere to and enforce existing PMO and best practice processes including but not limited to tollgate and release management process
Minimum 5+ years Project Management experience ideally within a financial software development environment
People management skills, managing large teams
Experience in Business Intelligence and Information Management
Experience of managing large and complex projects involving multiple stakeholders across different geographical locat

Data Modeler Resume Samples

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