Principal Data Analyst Resume Samples

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D Mitchell

Daija

Mitchell

7582 Stephan Parkway

Philadelphia

+1 (555) 102 1002

7582 Stephan Parkway

Philadelphia

Phone

p +1 (555) 102 1002

Experience Experience

Dallas, TX

Principal Data Analyst

Dallas, TX

Wilderman Group

Dallas, TX

Principal Data Analyst

Maintaining expertise on best industry practices in database technology and data management
Identifying opportunities to improve platform efficiency and automation
Participating in enterprise-wide architecture teams that design tools and data architecture policies across BNYM
Document inventory of products and services, end to end flows of products and transactions from source systems or desktop procedures
Support development team throughout project lifecycle, including during test phase; researches test issues and data content, and assists with problem resolution
Act as principal project data architecture designer and reviewer for 1 or more project teams and makes major data architectural decisions; responsible for education within IT unit on all dimensions of data architecture
Assist in developing guidelines and standards for the data modeling checklist, governance process and for cataloging and maintaining data repositories

Dallas, TX

Principal Data Analyst / Modeler

Dallas, TX

King, Ortiz and Lockman

Dallas, TX

Principal Data Analyst / Modeler

Knowledge of process improvement methodologies and software development methodologies
Network with external partners to stay abreast of best practices in Data Architecture, Information Management, MDM and Information Governance
Develop data reference architecture and promote those standards across the organization
Assist with evaluating data complexity for projects during project initiation
Implement ACI’s strategic vision around Enterprise Information Model/Framework
Assist in maintaining the assessment and inventory of the existing enterprise-level data environment
Collaborate with other architects to align Data Architecture to the business case and the overall information management architecture

present

Los Angeles, CA

Principal Data Analyst / Profiler

Los Angeles, CA

Cruickshank and Sons

present

Los Angeles, CA

Principal Data Analyst / Profiler

present

Provide technical leadership and support for Master Data Management (MDM) platform, including solution architecture, inbound/outbound data integration (ETL), maintenance/tuning of match rules and exceptions, data model changes, executing and monitoring incremental updates, and working with infrastructure and DBA teams to maintain multiple environments (development/test/production/sandbox)
Assist to implement ACI’s strategic vision around Enterprise Information Model/Framework
Provides technical leadership and support for Oracle Enterprise Data Quality (EDQ) technology, including development, data profiling, and data quality assessments
Collaborate with source systems data stewards and technical personnel for data governance and to resolve any data quality or technical issues related to data ingestion
Advise and provide support to data stewards, other system owners and technical personnel in master data management concepts and technical matters
Performs root cause analysis on data anomalies and working data stewards to resolve issues
Undertake and Conduct Data Quality Management activities such as (but limited to)

Education Education

Bachelor’s Degree in Computer Science

Temple University

Bachelor’s Degree in Computer Science

Skills Skills

Experience handling multiple deliverables, developing strong interdepartmental relationships, as well as strong oral and written communication skills
Excellent communication, facilitation and influencing skills to ensure that projects make educated decisions based on accurate, reliable data
Able to interact effectively with highly technical personnel as well as internal business clients
Have the ability to prioritize work and remain detail oriented
Ability to multitask while maintaining attention to detail
Solid quantitative and analytical skills
Ability to lead teams in a multi-site environment
Have excellent oral and written communication skills
Expert knowledge of MS PowerPoint
Expert knowledge of SQL, data management principles and understanding of data modeling

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15 Principal Data Analyst resume templates

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Principal Data Analyst Resume Examples & Samples

Bachelor’s degree in Business, Information Technology or a related analytical field
Minimum of 7 to 8 years’ experience in Data Management / Data Governance or Enterprise Technologies, working with data models and SQL
8 to 10 years progressively responsible experience in business analysis, organizational/process management, information technology, data quality, or a related field
Ability to define and articulate data models in business terms and understanding of the data needs and dependencies across different business processes
Minimum of 4 years’ experience with Franklin Templeton Investments
Experience in data analysis, data modeling, data mapping techniques and analysis of diverse and disparate datasets
Exposure to data profiling tools
Exposure to taxonomy management and ontology
Expert knowledge of SQL, data management principles and understanding of data modeling
Formal project life-cycle methodology experience. Project management experience preferred
Proven leadership skills and ability to deliver effective results
Proven ability to take initiative and work under pressure in a changing/growing environment
Strong business insight
Ability to lead teams in a multi-site environment
Proven track record in participating as a team member in global technical programs with high visibility
Expert knowledge of MS PowerPoint
Ability to multitask while maintaining attention to detail
Able to cultivate interpersonal customer and co-worker relationships
Ability to adjust to changing needs and re-prioritize tasks
Ability to explain technical terms to senior level management effectively – including risk and advantages
Ability to lead and mentor other staff
Ability to manage remote teams on a global basis maintaining awareness of cultural diversity

Principal Data Analyst Resume Examples & Samples

Bachelor’s degree in Business, Information Technology or a related field
Minimum of 7 to 8 years’ experience in Data Management, Data Governance or Master Data management
8 to 10 years progressively responsible experience in data governance, business analysis, organizational/process management, master data management, data quality, or a related field
Expert knowledge of data management principles and understanding of data modeling
An educational assistance program to financially help employees seeking continuing education

Principal Data Analyst Resume Examples & Samples

Demonstrates expert proficiency in the design, development and implementation of data, reporting and database technologies and tools
Consults with businesses to resolve complex data issues. Continues to extend existing data architecture to support increasing user demands and application requirements
Assesses and evaluates risk to understand the implications of design decisions and new technologies
Develops database design/code through in-depth understanding of business needs/functionalities and provides expertise in devising, negotiating and defending database schemas and data models
Consults with database administration and client areas and provides solutions in resolving complex issues during the translation to a physical database design
Provides knowledge and expertise of enterprise data to lead the process for assisting the business in the creation and definition of internal and external message flows
Provides direction and guidance on reports and ensures recommendations are aligned with user needs and capabilities
Uses expertise to evaluate market trends and provide input into the selection of tools and any necessary migration into the company's environment
Contributes to the achievement of area objectives
Experience working with Informatica IDQ
Java programming experience
Experience with programming interfaces: REST and Java API, JSON
Scripting experience, such as python, perl, groovy, javascript
Bachelor's degree in computer science or a related discipline, or equivalent work experience required
10-12 years of experience in data modeling, data warehousing, data entity analysis, logical and relational database design, or an equivalent combination of education and work experience required
Experience in the securities or financial services industry is a plus

Principal Data Analyst Resume Examples & Samples

Develop / enhance business and functional requirements in partnership with business and technology team(s). Perform business/data analysis to verify/validate these requirements
Implement/rollout end to end Metadata Management product in support of business requirements across various environments, including promotion of new releases and custom enhancements between these environments
Be the key liaison for this function with various business and application teams
Partner with Office of Data Governance, Business and technology teams in planning and rolling out the functional capabilities associated with Metadata management product by configuring interfaces to source metadata from various sources. This would require development of gaps for interfaces currently not supported by the product
Assist in building an Enterprise Data Dictionary supporting the various CTS initiatives (e.g. API Strategy, Digital Pulse, EDW etc)
Create architectural, system, data and process flow diagrams in support of designing, implementing and operationalizing solution
Develop shared service and support process and artifacts for production and non-production environments
Create project tasks/plans; manage various resources, tasks and dependencies. Interface regularly with Data Strategy Program management in support of project deliverables, status and escalations (if any)
Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required
10+ years of experience in various aspects of Application/Software architecture/design/development and support with particular focus on Data architecture and design
Expertise and strong working experience with an industry standard Metadata Management tool (Informatica IMM, Metadata Manager, Adaptive, IBM Data Stage, etc) would be required
Active and recent work experience with Data Governance framework and implementing and supporting associated technology products is required
Application architecture, implementation and support experience is highly desirable
Experience in the use of various information-gathering techniques such as workshops, interviews and iterative design sessions necessary to take the business requirements to data modeling and implementation
Strong understanding of various data modeling techniques is desired
Proficiency in using a data modeling tool and a thorough understanding of physical implementation issues, data strategies, design implications and performance requirements

Principal Data Analyst Resume Examples & Samples

Demonstrates expert proficiency in the design, development and implementation of data, reporting and database technologies and tools. Consults with businesses to resolve complex data issues
Continues to extend existing data architecture to support increasing user demands and application requirements
Experience in designing solutions and strategic planning
Motivated and able to quickly learn new technologies and tools (i.e. Optim)
2-3 years application development experience with Windows, Linux, Oracle SQL, PL/SQL, XQUERY skill
Experience scripting in Python, PowerShell and BASH
Ability to develop design and solution specifications
Java development and Hadoop experience is a plus

Principal Data Analyst Resume Examples & Samples

Accountability for design and implementation of a middle office data service layer that provides storage, transformation, data dictionary, batch and real-time data extraction and reporting capabilities
Maintaining expertise on best industry practices in database technology and data management
Coordinating with project and application teams to execute on short term data-driven initiatives as well as formulating a long-term vision of OnCore data architecture
Participating in enterprise-wide architecture teams that design tools and data architecture policies across BNYM
Identifying opportunities to improve platform efficiency and automation
A minimum of 10 years of relevant industry experience in data strategy and financial services
Leadership of at least one major data transformation project
Expertise with a multitude of database architectures including at a minimum Oracle Exadata
Hands on experience with ETL, data transformation and manipulation tools such as Informatica, Pentaho, Markit EDM
Expert knowledge of SQL and NoSQL data access methods
Hands-on database optimization expertise
Excellent communication and presentation skills for client and senior management presentations and engagements
Ability to speak to the benefits of a structured data architecture and influence adoption
Familiarity with business process and data modeling tools
Highly Desirable: Detailed knowledge of middle and back office services needed by investment managers, including: trade capture, broker and custodian communications and reconciliations, maintenance of cash and positions, corporate action processing, and collateral processing among others

Principal Data Analyst Resume Examples & Samples

Perform and finalize requirements gathering, analysis and design, and product associated documentation
Design Test Data Management and Data Privacy solutions
Adjust and configure Optim artifacts for Test Data Management solution
Execute Optim solutions for core and significant applications, unit/system test and validate results, assist BNYM with User Acceptance Testing
Assist with planning (and eventual implementation of data masking solution) for additional applications beyond core and significant applications
2 years of Optim exp; hands on keyboard experience

Principal Data Analyst Resume Examples & Samples

Perform complex business and data analysis of banking processes, products, customer statements, databases etc
Document inventory of products and services, end to end flows of products and transactions from source systems or desktop procedures
Develop gap analysis of products and transactions identified versus what exists in the current documentation and systems and databases
Document data gaps from source systems or desktop procedures to data warehouse and other downstream systems
Conduct data lineage and mapping from source systems or desktop procedures to data warehouse and transaction monitoring systems
Consolidate all existing technical and process documentation
Updates data dictionary, system context diagrams and other documentation for relevant SVB systems
Analyze data in test environments/data warehouse to support gap analysis
Partner with IT and business system analysts in performing product inventory and gap analysis
Notifies and keeps business unit and management abreast of findings affecting transaction monitoring compliance
Escalate issues and roadblocks in a timely manner to the management
Facilitate audit and exam related data requests
Participate in the ETL code reviews for upcoming changes to solutions
Strong knowledge on testing methodology and able to work with project team, business users to ensure the right testing strategy is defined and executed, and may perform User Acceptance Testing representing the business unit
Project manage various remediation work efforts that including all aspects of controls (people, process, technology) to finish line
Strong hands-on database skills (Oracle, SQL) and hands-on SQL knowledge and experience with connecting to data sources, perform analysis and creating dashboard for reporting
Act as Subject Matter Expert for the application when needed
Perform duties & responsibilities specific to department functions & activities
Performs other duties & responsibilities as required or assigned by supervisor
Responsibilities include the following: 1) adhering to and complying with all applicable, federal and state laws, regulations and guidance, including those related to Anti-Money Laundering (i.e. Bank Secrecy Act, USA PATRIOT Act, etc.), 2) adhering to Bank policies and procedures, 3) completing required training, 4) identifying and reporting potential suspicious activity to the BSA/AML Officer, and 5) knowing and verifying the identity of any customer(s) that enters into a relationship with the Bank
Critical features of this job are described under the items above. They may be subject to change at any time due to reasonable accommodation or other reasons. This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time

Principal Data Analyst Resume Examples & Samples

Provide direct technical evaluation of third party products for inclusion in T-Mobile solutions
Updates job knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations
Understands the business processes on projects assigned
Accomplishes organization goals by accepting ownership for accomplishing new and different requests; exploring opportunities to add value to job accomplishments
Translates business requirements into technical requirements and assist other team members in implementing the solution
Experience working in a complex business environment (8+ years experience preferred)
Experience in Reporting, Forecasting, Monitoring, Modeling and Analysis (5+ years experience preferred)
Ability to direct the work of other architects in a lead role
Advanced in statistics, math, logic, comprehension, communication and presenting
Experience in researching new analytical approaches and the life cycle of reporting
Knowledgeable about Wireless telephony business processes, strategic technologies and industry best practices
Strong analytic and problem solving skills
Strong understanding of event, incident and problem management techniques

Principal Data Analyst Resume Examples & Samples

Create and implement the clinical technology design specifications (EDC, IRT, ePRO) for all assigned trials
Production of a data cleaning plan that, when executed as designed, will produce a clinical-trial database that is fit for purpose and adequate for statistical analysis
Timely application and implementation of the data cleaning plan across the data collected for assigned trials
Lock of assigned trial databases in a regulatory-compliant manner and in accordance with Data Sciences standard operating procedures, process design and timelines
Serves as data steward for assigned trials and acts as primary liaison with outsourced trial support teams
Manages the work of the Query Analyst, or an outsourced trial support team, in the execution of the data cleaning plan
Effectively communicates progress and expectations around Data Management Operations processes and the health of the study

Principal Data Analyst Resume Examples & Samples

Data analysis, definition across systems, and understanding all data flowing through the systems supporting administrations and customer deliverables
Understand at a detail level all of the dependencies and possible updates for each processing step
Define all initial primary paths and key event paths for the back-end scoring system
Define conventions and standards for implementations across various programs
Understand data elements used in
Bachelor degree in Computer Science, MIS, or equivalent technology discipline
10+ years of relevant software system implementation experience
Strong understanding of relational and NoSQL databases
Ability to understand philosophy of architecture
Ability to provide technical leadership to a team
Must have strong time management and project management skills including the ability to work well under pressure, plan and set priorities, adapt to change, and meet established timelines
Excellent organizational and coordination skills
Ability to deal effectively with change in a fast paced environment

Principal Data Analyst Resume Examples & Samples

Participates in special projects as required
Experience with Oracle and Microsoft SQL Server database tools
Experience migrating, tuning and managing large (terabyte) databases for both transactional and warehousing purposes
Preferred experience supporting modernization projects
Provide guidance on use of ETL tools for data migration efforts and/or data warehousing
Perform data modeling, and realize those models in logical and physical database design

Principal Data Analyst Resume Examples & Samples

Conducts research on emerging security threats; Provides correlation and trending of cyber incident activity
Maintains knowledge of adversary activities, including intrusion set tactics, techniques and procedures (TTP)
Maintains Situational Awareness and reports on advanced threats, including Advanced Persistent Threat (APT) and Focused Operations (FO) incidents
Communicates events to agencies regarding intrusions and compromises to network infrastructure, applications and operating systems; assists with implementation of counter-measures and mitigating controls
Analyzes relevant cyber security event data for attack indicators and breaches that may yield detection/prevention content
Prepares cyber threat assessments based on threat analysis, coordinates cyber threat tracking with other organizations and the government; assists in developing reports, briefings and assessments to facilitate the understanding of cyber threats
Provides expert quality network traffic (PCAP) and Net Flow analysis
Supports SOC analysis and incident response as needed
Creates and maintains Standard Operating Procedures and other documentation as needed

Principal Data Analyst Resume Examples & Samples

Mentors junior members within the team
Investigates and makes final recommendations on new tools and techniques; collaborates on hardware/software evaluations
Understand large scale data models of existing software system
Work with product owners, system analysts and developers to understand data requirements of target system
Create transformation rules and validate the rules by working with of developers and product owners
Work with product owners and business owners to understand reporting needs
Create technical specifications to generate reports / specifications and work with developers to ensure report delivery
Data profiling -> generate desired data from the source, interpret data using statistical analysis to detect patterns and behaviors
Acts as principal project data architecture designer and reviewer for 1 or more scrum teams and makes major data architectural decisions; responsible for education within IT unit on all dimensions of data architecture
Bachelors or Master's degree in a technical or business discipline or equivalent expertise. Generally a minimum of 8 years related experience
Thorough knowledge in the following areas; IT concepts, strategies and methodologies, thorough knowledge of IT diverse technologies and new data architecture principles and concepts, thorough understanding of layered systems architectures and layered solutions and designs, business function(s) and IT industry business issues; extensive knowledge of business operations, strategies and objectives
Highly Proficient in SQL and DBMS languages and tools; ability to apply data management principles on multiple platforms
Requires Strong negotiation, facilitation, consensus building, and communication and presentation skills
Familiarity with relational database management systems such as Oracle / SQL Server or related RDBMS
High proficiency in writing SQL Scripts

Principal Data Analyst Resume Examples & Samples

Delivery of complex enterprise data solutions with comprehensive understandings in Architecture, Security, Performance, Scalability, and Reliability
Develop requirements, perform data collection, cleansing, transformation, and loading to populate facts and dimensions for data warehouse
Interact with application development, enterprise architecture, business intelligence, technology services, and vendors on a regular basis
Generate DDL from model
Coordinate with the database administration group to ensure day-to-day activities (archives, statistics collection, disk defragmentation) are performing in the most efficient manner
5+ years working experience in a data modeling role
Strong understanding of various data modeling techniques
5+ years working experience with Microsoft SQL and MySQL
5+ years working experience with ERwin Enterprise Data Modeler Suite or comparable data modeling tool experience
4 Year BA/BS degree in Computer Science, MIS, or Business Administration preferred
Ability to work in an environment where teams are geographically disbursed
Ability to work with analysts and developers to understand requirements and ask questions to clarify requirements
Good written and verbal communication skills to influence decision

Senior Principal Data Analyst Resume Examples & Samples

Develop ETL scripts/configuration to move data across pipeline
Develop/integration monitoring tools to monitor system health, performance and fault recovery
Lead effort in data management for Real Time Operation Intelligence (RTOI)
Lead effort in incorporation of machine learning capability to the Real Time Operation Intelligence (RTOI) platform
Ensure performance, availability, and scalability of Real Time Operation Intelligence (RTOI) platform
Architecture, design platform for operation data collection, storage, and analytics
Technical evaluation and testing of third party analytics and process solutions
Work with Operations, Development, Security, and Business organization to define and execute business initiatives
Assist roadmap definition for team to be on the leading edge of technology to enable using of data/analytics for realtime actions
Define/improve application development process to deliver Real Time Operation Intelligence (RTOI) components
System, application, and data pipeline design, provisioning, capacity planning and performance testing

Principal Data Analyst Resume Examples & Samples

Develop and maintain key data related artifacts, models and solutions that support the company goals of delivering quality, accurate and timely data to business users. These may be in different formats/structures including tools (e.g. Informatica, SharePoint), models (VISIO/Erwin), data sheets (Excel) etc
Work closely with the business and IT teams to define data elements, metadata, master/reference data rules, processes and data quality metrics
Assist the Data governance manager with the implementation and oversight of company’s policies, standards, practices and technologies related to data management
Assist the data council and data stewards to achieve data quality, consistency and accuracy goals
Help define processes and required workflows to support on-going data governance
Work closely with application systems teams to analyze system touch points, guide deliverables such as source to target mappings
Work closely with Data Architect(s) and Application Architects to ensure alignment of data governance processes and deliverables with systems architectures. Create and deliver artifacts including but not limited to data models, data lineage and data flow diagrams
Analyze development and production data to ensure data integrity and recommend remediation measures
Engages and partners with 3rd party vendors, internal development, and other parties as needed
7+ years of experience in modeling, designing and implementing quality data management solutions working closely with key business stakeholders
Well versed in data governance, information management frameworks; Understanding of Master Data management, relational databases and reference data management would be essential
Experience implementing tools (preferably Informatica) for data management including glossary, metadata management, master data management, profiling, cleansing, modeling (Erwin), Business Intelligence etc
Strong knowledge of data structures and ability to efficiently manipulate/query data
Advanced skill level with Microsoft Excel, Access and PowerPoint
Bachelor's or Master's degree in technical or equivalent experience
Preferred experience in Insurance industry
Strong negotiation, facilitation and consensus building skills. Good oral and written communication skills as well as presentation skills

Principal Data Analyst Resume Examples & Samples

Participates in the evaluation of complex business requirements
Transforms common system requirements into data models, according to architecture for shared and reusable services - designs are generic and of broad scope; models data solutions across projects according to architecture, technology and standards
Identifies and consults on high complexity data structure and/or data content issues; designs effective data solutions
Depicts highly complex ideas, issues and data designs to varied audiences; communicates project data objectives, scope and direction across project teams
Acts as principal project data architecture designer and reviewer for 1 or more project teams and makes major data architectural decisions; responsible for education within IT unit on all dimensions of data architecture
Coordinates database changes within context of overall configuration management process
Supports development team throughout project lifecycle, including during test phase; researches test issues and data content, and assists with problem resolution
Performs related duties as assigned or requested
Provides technical guidance to staff
Highly Proficient in SQL and DBMS languages and tools; ability to apply data management principles on multiple platforms. Requires Strong negotiation, facilitation, consensus building, and communication and presentation skills

Principal Data Analyst Resume Examples & Samples

Partner with Asset Management business and technology teams to drive the on-boarding and rollout of business glossary, data taxonomy and data strategy to support critical functions across multiple, interrelated subsystems
Gather information requirements and work with business users to maintain specific business data elements
Serve as a data quality evangelist to advocate and architect data quality rules, and lead and conduct issue tracking, reporting and proactive monitoring
Build and maintain data models for various data domains, including business process models
Troubleshoot data related issues reported by business users and internal teams, and collaborate with business and technology teams to drive resolution
Work with upstream systems to ensure data consistency and accuracy, and conduct research to determine corrective actions and interpret trends and patterns in complex datasets
Plan and coordinate the project life-cycle schedule for complex implementations across geographically diverse teams
Assist in developing guidelines and standards for the data modeling checklist, governance process and for cataloging and maintaining data repositories
Demonstrated Expertise (“DE”) in data analysis, data modeling, database development, performance tuning and query optimization using ER-Win/PowerDesigner, SQL, Oracle PL/SQL, Unix scripting, PERL, Jira, Crucible and Autosys
DE in Business Intelligence, data movement and data extraction, transformation, and load (ETL) using Oracle OBIEE, Informatica, Golden Gate and IBM Change Data Capture
DE in data management of buy-side mission critical, enterprise-wide financial data, including support and operations management of data failures; and training systems teams on data latency at data integration points
DE in project management according to standard SDLC, and utilizing Agile methodologies with Agile Application Lifecycle management tool -- Rational Team Concert

Principal Data Analyst Resume Examples & Samples

Participate in the evaluation of complex business requirements
Transform common system requirements into data models, according to architecture for shared and reusable services - designs are generic and of broad scope; models data solutions across projects according to architecture, technology and standards
Identify and consult on high complexity data structure and/or data content issues; designs effective data solutions
Depict highly complex ideas, issues and data designs to varied audiences; communicates project data objectives, scope and direction across project teams
Act as principal project data architecture designer and reviewer for 1 or more project teams and makes major data architectural decisions; responsible for education within IT unit on all dimensions of data architecture
Coordinate database changes within context of overall configuration management process
Support development team throughout project lifecycle, including during test phase; researches test issues and data content, and assists with problem resolution
Investigate and makes final recommendations on new tools and techniques; collaborates on hardware/software evaluations
Metrics analysis and development experience
Extensive experience with BI reporting tools

Principal Data Analyst / Profiler Resume Examples & Samples

Assist to implement ACI’s strategic vision around Enterprise Information Model/Framework
Collaborate with other architects to align Data Architecture to the business case and the overall information management architecture
Provide technical leadership and support for Master Data Management (MDM) platform, including solution architecture, inbound/outbound data integration (ETL), maintenance/tuning of match rules and exceptions, data model changes, executing and monitoring incremental updates, and working with infrastructure and DBA teams to maintain multiple environments (development/test/production/sandbox)
Advise and provide support to data stewards, other system owners and technical personnel in master data management concepts and technical matters
Execute queries against MDM hubs and Data Quality tool and other inbound/outbound databases as required
Collaborate with source systems data stewards and technical personnel for data governance and to resolve any data quality or technical issues related to data ingestion
Provides technical leadership and support for Oracle Enterprise Data Quality (EDQ) technology, including development, data profiling, and data quality assessments
Apply MDM technology for one-off data matching and cleansing efforts
Contribute to other data integration projects in the capacity of ETL architect/analyst/developer
Serves as a Lead on projects to develop the plan for data analysis and design, and ensure the quality of the data specifications delivered to developers. Facilitates review sessions with business users and other team members to Identify and document business needs and data quality rules
Performs root cause analysis on data anomalies and working data stewards to resolve issues
Develops best practices, guidelines and standards for Data Integration Center of Excellence
Responsible for the tracking and auditing of all data in and out of the business
Identify, assess, monitor, document, and communicate potential quality issues in the way data is collected, stored, processed, or used
Undertake and Conduct Data Quality Management activities such as (but limited to)
Experience implementing quality management for data warehouses and Big Data Stores desired
Experience implementing a data quality practice in a large company
Hands on experience with MDM and DQ Tools, Profiling, Cleansing, Matching: Oracle Suite
Experience with automated systems that require full history and traceability, and in articulating the quality impact of these features
Data Profiling, quality rules definition and automation
Experience with Data discovery
Data quality measurement and metric generation, and aggregation into quality performance indicators
All aspects of data quality management including a full end to end data quality implementation
Experience of data manipulation and enhancement to correct common file issues
Client facing with excellent communication, presentation and documentation skills – ability to communicate at all levels within business
Strong data analysis skills across multiple source systems of various formats
A team player who works collaboratively and provides coaching and support to transfer technical & data knowledge
Ability to work under pressure with strong planning and prioritization to meet tight deadlines whilst remaining detail orientated with strong problem solving skills and innovative thinking
Protection our information, reporting security events and implementing appropriate policies and procedures
Strong consultative skills and demonstrated ability to achieve corporate business objectives across functional boundaries
Strategic and creative thinker with an ability to apply data analysis approaches to help support and grow business objectives and priorities
Strong problem solving skills, self-motivation and the capacity to work under pressure with tight deadlines
Innovative Ability to look at existing processes and systems to resolve deficiencies or to take them to the next level of maturity
Team oriented and has the ability to work independently with minimum directions

Principal Data Analyst / Modeler Resume Examples & Samples

Creation of Data Development Processes, Procedures, and Standards to ensure data consistency across the Enterprise
Implement ACI’s strategic vision around Enterprise Information Model/Framework
Develop an understanding of the ACI’s existing Data components and future technical and stakeholder product requirements
Map the current data structure to the future state with a realistic transition plan and roadmap that integrates with the strategic objectives of the company
Implement an agile-based approach to implementing data models and solutions to deliver value rapidly and evolve to the future state
Participate in Data Architecture Review Board to help ensure that technology implementations are in line with the Information Architecture principles and vision
Be an advocate for Big Data Technologies and its practical implementations
Bring a “hands-on” perspective with these technologies and an understanding of the “right tool for the right job”
Collaborate with project teams across ACI to design end-to-end data solutions
Create Enterprise Reference Data Architecture
Participate in the definition of standard enterprise data management and enterprise data architecture processes and deliverables
Collaborate with business, application, solution, and technical architects to understand the implications of respective architectures on data architecture and to maximize the value of information across the organization
Assist in the review and approval for all major business solution delivery projects
Work with the Database Administration/Architecture and Data Analytics teams to help set the enterprise data strategy and standards
Create and implement a process to collect and maintain inventory of Data assets across the enterprise
Drive standardization and simplification across the enterprise, lowering cost, improving quality and value of data assets
Define enterprise data architectures for Data Warehouse, Master Data/Reference Data, integration for data and transaction processing
Build the enterprise conceptual, logical and semantic data models for analytics, operational and data mart structures in accordance to industry best practices model(s)
Assist in maintaining the assessment and inventory of the existing enterprise-level data environment
Align solutions to road maps for existing data mart and data management solutions across multiple business lines
Contribute to data strategies for the migration of legacy applications
Develop data reference architecture and promote those standards across the organization
Contribute to data tool standards and governance processes
Assist with evaluating data complexity for projects during project initiation
Assist with reviewing data designs, data models for projects across ACI during architectural review meetings
Maintenance of data dictionary and/or metadata repositories
Mentor project team members in the development of complex data/ETL/BI and Big Data solutions
Network with external partners to stay abreast of best practices in Data Architecture, Information Management, MDM and Information Governance
Partner with IT and business teams to identify and implement solutions that drive competitive advantage
Facilitates successful negotiations as appropriate throughout the projects
Leverage their knowledge of data modeling best practices along with cross industry data expertise and data modeling tool expertise
Capable of working under general direction from Sr. Director of Data Architecture
Perform reverse engineering of physical data models from databases and SQL scripts
Demonstrated effective verbal and written communication skills for the purpose of providing performance information in a clear, non-technical way to stakeholders, including the most senior leaders of the company
Ability to maintain confidential data required
Strong communication skills, both verbal and written with the ability to communicate to IT and Business Leaders
Strong interpersonal skills with ability to coach and influence others
Quick learner, adaptable to new situations and challenges

Principal Data Analyst Resume Examples & Samples

Have project management skills
Have a good understanding of the industry-specific issues, regulatory requirements, and current healthcare reform
Must have the ability to work in a fast-paced and creative environment
Have the ability to prioritize work and remain detail oriented

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