Business Intelligence Data Analyst Resume Samples

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S Balistreri

Serena

Balistreri

8782 Ankunding Mount

Philadelphia

+1 (555) 253 0336

8782 Ankunding Mount

Philadelphia

Phone

p +1 (555) 253 0336

Experience Experience

Los Angeles, CA

Business Intelligence Data Analyst

Los Angeles, CA

Schmitt LLC

Los Angeles, CA

Business Intelligence Data Analyst

Assist business management by blending, extracting and analysing data
Supports technical development within the delivery organization, including reviews and gap assessments, and works to deliver strategies
Track record of dealing with challenging stakeholders, developers and architects during facilitated sessions and during the development lifecycle
Develop standard business reports using MicroStrategy 9 and other reporting tools to provide quick turn-around response to business-critical questions
Connect the dots across business processes and systems, providing management with new insights
Identify risk, communicate to the business and management and recommend solutions
Development and deployment of formal business analysis methods and tools to govern and control business intelligence programs

Chicago, IL

Business Intelligence & Data Analyst

Chicago, IL

Weissnat and Sons

Chicago, IL

Business Intelligence & Data Analyst

Develop reporting solutions to support planning activities
Work with various EMEA and Corporate stakeholders to ensure data is consistent across various systems
Develop reports and dashboards to monitor customer data quality and consistency across CRM and ERP systems
Manage data projects
Fulfil various data management request from Sales Operations
Become the single point of contact of customer and other databases and their governance processes
Take responsibility of relevant data UATs

present

Detroit, MI

Senior Business Intelligence Data Analyst

Detroit, MI

Stiedemann, Schamberger and Maggio

present

Detroit, MI

Senior Business Intelligence Data Analyst

present

Maintains current knowledge of relevant technologies as assigned
Perform data manipulation, cleansing and standardization to provide a framework for advanced reporting capabilities and descriptive analytics
Facilitate good communication flow with Marketers, Business Managers, Finance, Management, IT etc
Create project analytics and maintain BI portal for Integrated Facility Management (IFM)team
Documents and utilizes sound development practices Perform quality assurance and data integrity checks on reports and analytic tools
Follows Cerner policies, upholds professional standards, and performs all work in a manner respectful of others
Provides accurate estimates for all works tasks assigned

Education Education

Bachelor’s Degree in Computer Science

Quinnipiac University

Bachelor’s Degree in Computer Science

Skills Skills

5+ years experience business/systems analysis and/or data mining experience
Experience and familiarity with SAN systems and related concepts is desired
2+ years with PL/SQL Stored Procedures support/development, SQL Server, MSSQL, T-SQL
Independent thinking with the ability to self-directProficiency in Microsoft (Excel, Word, PowerPoint, Project)
Strong database experience working with various RDBMS platforms; Application Development, Database Design, Data processing, Data Warehouse and Support
Expert knowledge of Tableau software
Expert knowledge of Excel
Fixed Income products business knowledge
Database modelling understanding
Strong knowledge of SQL

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Business Intelligence Data Analyst Resume Examples & Samples

Proficient in Microstrategy 9 Development
Proficient in SQL, Teradata, Excel, Access, and various data mining tools and relational database systems
Understanding of database design and ability to interpret logical and physical data models
Ability to logically communicate complex technical analyses to a diverse audience. Solid written and verbal communication skills

Business Intelligence Data Analyst Resume Examples & Samples

Build a single reporting database repository of identified metrics from various source data locations that can be refreshed to near-real-time
Collect/Aggregate performance and alert data for all devices in the JPMorgan Chase enterprise storage environment
Develop repeatable and customizable analytics processes for reporting on business impacts
Leverage analytics and dashboarding tools to provide high level as well as detailed on-demand reporting for senior management and technical staff
Refine reporting metrics to establish better root cause for issues in the storage environment
Use HP Service Manager feeds to correlate alerts and incidents and identify trends to better direct technical resources toward long term resolution
Work with technical staff to better understand validity and criticality of data and how it impacts operations
Help to focus efforts on long term resolution of issues through trending and forecasting
Build new dashboards for L2 SAN team and management to catch and resolve incidents before they arise
Evaluate production performance level issues to diagnose and address underlying system problems and inefficiencies
5 + years of Information Technology experience within large enterprise environments
Willing to take ownership, and able to independently work toward implementation
Able to manage complex and ever-changing workload
Proven analysis, reporting, and troubleshooting skills
Ability to absorb & present complex ideas quickly & accurately
Strong communication skills (verbal and written) with the ability to communicate complex issues to technical and nontechnical audiences that include peers, lines of business partners, and senior management
Strong documentation skills to be able to write design and support documentation
Use of querying applications such as SQL Plus & DTOA·
Excellent attention to detail and ability to raise questions and seek resolution to outstanding clarifications required
Advanced and demonstrable problem solving / analytical skills
Ability to listen/observe/acknowledge/lead by example and provide recommendations
Ability to prioritize and work under stringent timelines
Result oriented with proactive approach to resolving problems
Ability to develop creative implementation solutions to meet deadlines
Strong focus on efficiency and controls
5+ years experience business/systems analysis and/or data mining experience
Development experience with Business Intelligence tools like: Microsoft SQL SSRS, Cognos, Crystal Reports, Qlikview is preferred
Experience and familiarity with SAN systems and related concepts is desired
2+ years with PL/SQL Stored Procedures support/development, SQL Server, MSSQL, T-SQL
Knowledge in any of the Data Tools like SQL Developer, SQL Loader, PLSQL developer is must
Strong SQL / data mining skills required; SAS experience preferred
Independent thinking with the ability to self-directProficiency in Microsoft (Excel, Word, PowerPoint, Project)
Strong database experience working with various RDBMS platforms; Application Development, Database Design, Data processing, Data Warehouse and Support

Business Intelligence Data Analyst Resume Examples & Samples

Minimum 5 years of experience working with Information technologies required
Minimum 5 years of experience as a Data Analyst required, preferably in a data-intensive financial company
Minimum 3 years of experience with advanced PL/SQL and Oracle or other database queries and analysis required
Bachelor's degree in Computer Science or related technologies strongly preferred
Prior hands-on experience in using BRIO or Business Objects report queries a plus
Prior hands-on experience in using Erwin a plus
Good knowledge of project management technique
Strong interpersonal, written and verbal communication skills with demonstrated ability to work in a team environment
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Business Intelligence & Data Analyst Resume Examples & Samples

Become the single point of contact of customer and other databases and their governance processes
Work with various EMEA and Corporate stakeholders to ensure data is consistent across various systems
Provide Enterprise Information Management team with input to align corporate systems as required to meet EMEA requirements
Define and implement data cleansing and data enrichment solutions
Deliver ad hoc business data analyses and dashboards in Tableau/ Excel/ OBIEE
Develop reporting solutions to support planning activities
Take responsibility of relevant data UATs
Manage data projects

Business Intelligence Data Analyst Resume Examples & Samples

Minimum 5 years of experience working with Information technologies required
Minimum 5 years of experience as a Data Analyst required, preferably in a data-intensive financial company
Prior hands-on experience in using ERWin a plus
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Business Intelligence Data Analyst Resume Examples & Samples

Become a subject matter expert on BI and leading indicators of fraud and non-compliance
Develop reports and dashboards to monitor business processes, transactions and controls across multiple systems
Deliver ad hoc business data analyses and dashboards in Tableau, Excel, and Oracle OBIEE
Become the single point of contact for IA and their data governance processes
Fulfill various data management requests from Internal Audit, Legal and Finance
Work with various corporate stakeholders to understand data differences across systems and geos
Manage data analytics projects
Help evaluate the effectiveness of controls over key databases and reports
Connect the dots across business processes and systems, providing management with new insights
Identify risk, communicate to the business and management and recommend solutions
Aid business partners in identifying opportunities for continuous improvement, business process maturity and scalability
Collect, organize and analyze data and trends of IT systems and applications
Creative Thinking – Demonstrates a passion for technology and initiative in using creative approaches to analyze business data. Interprets data to evaluate root cause and solve problems at a macro level. Open to non-traditional ways of providing risk assurance and seeking solutions in areas outside of your comfort zones
Results Oriented – Drives self and others to look beyond proposed actions to identify better alternatives in complex environments. Is more interested in doing what is right than winning arguments or being popular. Has political savvy to overcome roadblocks
Approachable Personality – Builds and collaborates with productive teams utilizing differing perspectives, helping to prioritize team objectives and taking responsibility for team performance. Effectively communicates with honesty and respect, providing encouragement and support to other team members
BS with 3+ years of relevant experience or MBA with 1+ years of experience
Demonstrated experience successfully managing data driven projects
A basic understanding of risk, operational auditing and Sarbanes-Oxley compliance
Understanding of controls in ERP systems, Internal Controls Over Financial Reporting, COSO, and US GAAP is a plus
Certified Internal Auditor (CIA) or Certified Fraud Examiner (CFE) are helpful
Ability to communicate highly technical issues to non-technical audiences and demonstrated leaderships and supervisory skills
Knowledge of current/emerging technologies including SaaS, PaaS, IaaS, cloud computing, virtualization, networks and electronic commerce, strong knowledge of Oracle or SAP

Business Intelligence Data Analyst Resume Examples & Samples

Become a subject matter expert on BI and leading indicators of fraud and non-compliance, with particular focus on go to market activities
Support audits of VMware channel partners, delivering critical data analysis on sales, pricing, marketing, solution delivery, and payments
Fulfill various data management requests from Internal Audit, Legal and Finance, including data support for investigations
Work with various corporate stakeholders and the business intelligence community to understand data integrity and differences across systems and geos

Business Intelligence & Data Analyst Resume Examples & Samples

You will also able to demonstrate the following
You are an achievement driven, self-motivated individual who is able to compliment a people-based culture focused on accountability, integrity and opportunity
You have an innovative and curious mind, with a passion for using tools and concepts to draw insights from data that drives decision making
The ability to manage business pressures and stakeholder expectations while maintaining a high degree of motivation and professionalism whilst managing multiple work streams
The ability to think from an commercial perspective and communicate with stakeholders to ensure model inputs and outputs match business/customer needs
Solutions and result driven with a track record of achievements in a data-led environment
Relevant tertiary qualifications and experience in an analytical discipline (e.g. statistics, finance, computer science) as well as sound proficiency with VBA, R Studio etc is advantageous

Business Intelligence Data Analyst Resume Examples & Samples

Production of MI dashboards primarily using Tableau as a tool
Encourage usage of Tableau with the business teams both as a source of information and how to as a data discovery tool
Act as a conduit between business and IT ensuring IT development is prioritised according to business need
Tell a compelling story with data to allow instant decision making at management levels
Assist business management by blending, extracting and analysing data
Contribute to the implementation of improvements to the BI systems: e.g. analysis and validation of feeds etc
Facilitate good communication flow with Marketers, Business Managers, Finance, Management, IT etc
Expert knowledge of Tableau software
Expert knowledge of Excel
Fixed Income products business knowledge
Database modelling understanding
Strong knowledge of SQL
Alteryx knowledge would be a strong advantage

Business Intelligence Data Analyst Resume Examples & Samples

Manage basic-level analytic, technical and/or strategic projects that successfully bring data-driven information about healthcare insurance, products and services to internal and external customers
Analyzes user requirements; documents programs, systems and procedures
Ability to analyze information from a variety of sources, to analyze the importance or irrelevance of content, and to identify key findings. This includes the capacity to draw ties between seemingly unrelated topics or sources of information
Maintains knowledge of policies and procedures and performs in accordance with applicable regulatory, compliance and security requirements and standards
Translate needs, issues and ideas into effective strategies for data development, delivery and management
Work as part of a team to provide tactical answers and support the team resources
Participate in multi-disciplinary project teams using influence appropriately to direct time and deliverables to the highest business and customer needs
Work with manager/peers to prioritize work appropriately
Develop and utilize data to ensure that the appropriate quantitative/qualitative data is gathered for analysis
Work with peers, leaders or customers to incorporate and use new healthcare concepts, systems or products
Minimum two (2) years of data analysis experience
Minimum four (4) years of progressive programming experience using various data extraction and mining tools/products
Experience using full SQL capabilities and comprehension of efficient SQL data warehouse access
Demonstrated experience in the analysis and interpretation of data, business cycles of healthcare products and insurance, or technology innovation in the field
Strongly prefer knowledge of health care data subject areas, content and concepts of how detailed data elements in a healthcare delivery and payor environment are used for the purposes of business operations and analytics
Knowledge of and experience with Health Plan Systems: Membership, Pricing, Claims Systems; Care Delivery: Ancillary, Outpatient, and Inpatient Systems; Human Resources, Finance, Facilities and Corporate Services Systems

Business Intelligence Data Analyst Resume Examples & Samples

Participates in Agile ceremonies, provides technical and/or business feedback, estimates LOE, and develops designs, enabling reliable, high quality, and scalable solutions
Engages customers to understand and resolve solution inquiries, potential data issues, and fulfill development requests
Actively participates in user story development to validate appropriate acceptance criteria, while ensuring solutions are testable, supportable, and ultimately provide business value
Provides accurate estimates for all works tasks assigned
Performs data analysis (reactive) and profiling (proactive) to assess the quality of Bi data repositories an solutions
Develops technical solutions for break-fix and minor enhancements (ETL, DML, Report, Dashboard)
Actively participates in quality assurance process through use of unit testing, data testing, and user acceptance testing
Follows Agile Methodology process and is proficient in the use of time-tracking tools, issue logs, and documentation templates
Understands the value each initiative brings to the business and can articulate value proposition to team members and BI leadership
Keeps current with available technology to support and deliver BI solutions
Bachelors degree in computer science or related technical field required
3-5 years experience in a Data Warehouse environment supporting or developing high-value BI solutions
Agile Scrum development methodology experience preferred, notably around writing and/or translating user stories
MS T-SQL Query, MS Project, Word, Excel, PowerPoint, Project, Visio skills required
Understanding of of multidimensional and normalized database design
Intermediate to advanced Microsoft SQL skills
Understanding of ETL Development Tools (Informatica, SSIS, etc.)
Experience using ad-hoc query tools and data visualization products (Business Objects, SSRS, Qlik Sense, Power Pivot or other)
Strong understanding of data (aging, cleansing, transactional v. historical, metadata, etc.)
Strong communication and meeting facilitation skills
Strong written skills (software documentation, SBAR, etc.)
Ability to effectively manage time, prioritize work, multi-task across many assignments without reminders or prompting from management
Working knowledge of the provider-based healthcare industry strongly preferred

Business Intelligence Data Analyst Resume Examples & Samples

Develop and lead a process for extracting data from our core databases: 360 Facility, E1, OneView Analytics, SharePoint for analysis that will lead to process improvement, cost reduction and improved operational performance
Preparation and analysis of regular and ad-hoc reports
Perform data manipulation, cleansing and standardization to provide a framework for advanced reporting capabilities and descriptive analytics
Analyze reports for trends and communicate those trends in various formats including but not limited to PowerPoint, Excel, PowerPivot, PowerViews and Access
Support training of new users with respect to analytics and technology
Create project analytics and maintain BI portal for Integrated Facility Management (IFM)team
Deliver high value data interpretation and predictive analysis
A Bachelor's Degree in I.T., Business, or a related field
A minimum of two or more years of solid data analysis and research skills and experience extracting, tracking, and organizing data from various databases for metrics, reports, etc
Two years of experience in developing PowerPivot and Power View reporting
Three or more years of experience in Data Integration, Data Analysis and reporting across multiple platforms preferred
Two years of experience in managing SharePoint sites and workflows
Strong technical skills to include SharePoint, SQL Server, Access, DAX
Strong presentation, organizational skills and collaborative style
Creative problem solving capabilities with ability to drive results and provide relevant solutions to clients
Ability to provide in-depth analysis on work order completion, time management and work schedules

Senior Business Intelligence Data Analyst Resume Examples & Samples

Reviews business requests for data and data usage, researches data sources for new and better data feeds
Stay current on vendors' best security practices in relation to organizational requirements
Tableau Community contribution and Server Administration experience
Experience working in a fast-paced, dynamic and Agile development lifecycle
At least 3 years’ experience in Tableau – strong knowledge of best practices for dashboards and visualizations is required
Knowledge of ETL tools is a plus
Strong SQL development skills- writing complex queries and stored procedures- SQL, PL/SQL, T-SQL

Business Intelligence Data Analyst Resume Examples & Samples

Translate conceptual design specifications in close collaboration with IT and business owners, and design and develop functionally into technically sound solutions
Capture business, technical and operational requirements and create / communicate business intelligence options (ETLs, cubes, analytics)
Data Modeling and Enterprise Data Warehouse Design and Operation. Developing and testing programs to extract, cleanse, transform and load from source systems into EDW and into data marts
Create and administer technical and training programs for the development of IT staff. Coach and mentor a team of technical application development resources directly supporting the companies’ business requests
Serving as application administrator for ETL/BI tools, including installation and building scripts on the AIX/Linux/Win platforms. Developing tooling to better automate the data integration tasks
Building Management, Operational, and ad hoc reports
Develop quality control measures, testing measures, and the accuracy of data standards to support deployment of solutions for the businesses in IT
Manage and study the latest technical development technologies and utilize these to position IT development and programming techniques and methodologies to enhance IT support of the entire organization. Work with management to align these technologies according to the company goals and initiatives
Responsible for gathering and assessing business information needs and preparing data and reporting requirements. Performs analysis, development and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata and repository creation. Uses data mining and data analysis tools. Reviews and validates data loaded into the data warehouse for accuracy. Provides technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage
Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses. Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments. Must have an extensive knowledge of data warehouse and data mart concepts. Develops conceptual and logical data models for building effective decision support systems scripts on the AIX/Linux/Win platforms
Performs additional duties as assigned
Bachelor’s degree (BA/BS) or equivalent experience
Three years of Data Warehousing and BI Analysis experience including Data Analysis, Report Writing and/or Development experience
Work history of successful software design and utilization of latest technologies in Microsoft Visual Studio and SQL Server Business Intelligence Studio; Microsoft’s SQL server and Windows Server environment; SSRS; SSIS
Expertise in data modeling, SSIS and Reporting tools
Ability to think objectively and make sound business and technical decisions
Ability to motivate, inspire, build and direct an IT development team
Effective business communication and presentation skills
Flexibility, strong interpersonal, analytical, technical and problem solving attributes
Understands the IT environment well and specializations within IT and relationship building with customers to meet their needs

Business Intelligence Data Analyst Resume Examples & Samples

Strong Excel data modelling background e.g. 3rd Party data into a Data warehouse
Basic reporting skills (pref. PowerBI but Tableau\Qlik\SSRS\BusinessObjects\etc. qualify)
General SQL Skills – e.g. Basic UI/UX design skills
Advanced SQL skills preferred – e.g. Stored Procedures, Query tuning, advanced workflows
Advanced Reporting Skills – e.g. OLAP, advanced PowerBI\Tableau\Qlik\etc
EO Skills – Open model, change data, solve model, export results, contextualize results
Ability to work overtime required on occasion

Business Intelligence Data Analyst Resume Examples & Samples

Make best practice recommendations for report and dashboard design; determine requirements for data, reports and analytics
Assist with value analysis, requirements and scope definition, source data identification, data quality definition, transformation, and summarization processes
Implements design by utilizing development languages and tools
Designs, develops, modifies, debugs, and evaluates programs for functional areas
Ensures the code is scalable and meets performance requirements through performance tuning
Delivers quality code that meets requirements and specifications on time
Documents and utilizes sound development practices Perform quality assurance and data integrity checks on reports and analytic tools
Evaluate alternate solutions, design processes and systems which include user impact considerations, cost and benefit analysis and processing specifications
Maintains a library of model documents, templates, or other reusable assets
Research and stay current on new technology as it relates to Business Intelligence
Communicates effectively and efficiently with internal and external clients / teams
Recommends changes in development, maintenance, and system standards
Performs low-level design
Participates in project related sessions such as code reviews and project status meetings
Maintains and protects architecture integrity
Follows organizational defined code management processes
Provides troubleshooting support; Conduct or coordinate tests to ensure that output is consistent with defined needs
Mentors and shares knowledge
Understands personal role in safeguarding corporate and client assets—Takes appropriate action to prevent and report any compromises of security within scope of role
Follows Cerner policies, upholds professional standards, and performs all work in a manner respectful of others
Performs other responsibilities as needed
Ability to come up with solutions to loosely defined business problems by programming script review over potentially large datasets
Project Management experience to support project lifecycle work
Strong mentoring skills
Demonstrated ability to work with diverse groups and difficult customers
Effective communication and presentation skills, both written and verbal
Ability to learn and apply new skills and concepts quickly
Ability to work on multiple projects simultaneously
Extensive computer skills, including Microsoft Office suite
Ability to sit and view computer monitors or other monitoring devices for a prolonged period of time
Ensure the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle
Knowledge of one or more business/functional areas
Entrepreneurial drive and an ability to work in a fast-paced environment
Bachelor degree in Mathematics, Statistics, Computer Science, Information Technology or other degree with significant related IT and leadership experience
3+ years of experience in healthcare and/or sciences
Ability to work on a flexible schedule and overtime and/or irregular hours when needed
Must be able to travel up to 10%
Must reside, willing to commute locally or relocate to the greater Washington D.C. Metropolitan (District of Columbia, Maryland or Virginia) area
2 years of experience with database tools, application development, or health information standards
2 years experience in information systems, or related field (e.g. statistics, mathematics, physics)
1 year experience with Business Objects, PowerInsight Explorer, Tableau, Hadoop and Vertica

Business Intelligence Data Analyst Resume Examples & Samples

Entry Level Position, however prior work experience via an internship or part-time work highly desirable
Outstanding interpersonal, communication, relationship-building and presentation skills
Comfortable working with statistical applications (SAS, R, SPSS, Python, XLSTAT, etc.)
Demonstrated aptitude for learning new software and tools for synthesizing information
Knowledge of Non-Profit structures and operations preferred
Confident delivering results to a variety of audiences with different backgrounds and experience
Support the Business Intelligence and data analytics team on a wide variety of data analytic projects including but not limited to survey development, survey programming, data formatting, basic analysis, reporting
Collaborative, ability to work within and outside the core team to achieve desired results
Time management, ability to handle multiple projects at a time, while maintaining the highest level of quality
Ability to think outside-the-box, to overcome challenges or find new ways to discover valuable insights that add value to a project

Business Intelligence Data Analyst Resume Examples & Samples

Conducts business analysis activities to collect business requirements through both existing report evaluations and business user interaction
Translates business requirements into technical specifications and creates reports from those specifications
Develops the BI reporting & dashboards in Oracle BI Applications in support of department or business operations
Identifies, researches, and resolves discrepancies in an analytical procedure or cross-functional methods
Supports technical development within the delivery organization, including reviews and gap assessments, and works to deliver strategies
Maintains and modifies the divisional RPD to support reporting fixes and extensions
Works with technical analysts to ensure that all necessary data elements are available in the data warehouse and visible for current and future reporting needs
Conducts day-to-day activities with minimum supervision

Business Intelligence Data Analyst Resume Examples & Samples

Participate and play a role in the implementation and continuing support of the Customer Logisitic Service Center (CLSC) business intelligence application
Develop subject matter expertise regarding end-to-end business processes and understand the data and systems that support the CLSC business intelligence application
Assist in the implementation and continuing support of CLSC business intelligence systems
Define, validate and evaluate dashboards and reporting from current data sources, and participate in the development of alternative data sources
Collaborate with team members and key users to provide creative and innovative dashboards that have actionable data for the Bayer CLSC business functional areas
Collaborate with team members and key users in the development and implementation of dashboards, reports and processes into a production mode to automatically run as defined by management
Enable and empower users through training and consultation to execute data reporting
Provide input to coordinate resolution of Bayer CLSC reporting processing issues with Bayer IT
Enable Bayer CLSC users and other key users to define and validate ad hoc reports that are used as management tools to measure current effectiveness and aid in decision making
B.A. degree in IT, Business or related analytical field
Minimum of four (4) years of experience supporting users of business intelligence data, data marts, data warehouses, or similar areas; or
A minimum of six (6) years of equivalent work experience
Basic knowledge and experience of SQL
Proven ability to perform root cause analysis and successfully determine course of action to remedy either a business process or a required system change
Ability to learn new tools and apply them to the current data architectures
Demonstrated proficiency in verbal and written communication
Proven diplomatic, persuasive and effective business communication and presentation skills
Demonstrated successful experience and aptitude influencing, teaching and enabling business users to make more effective use of data tools and architectures
Experience creating training materials and leading training of key users
Demonstrated ability and experience in driving successful business results at the intersection of business and IT

Business Intelligence Data Analyst Resume Examples & Samples

Knowledge of computer system capabilities, business processes and workflow
Ability to understand and apply the software development lifecycle and project management techniques
Demonstrated ability to review business processes and translate into BI reporting and analysis solutions
Experience in data analysis and root cause analysis and developing problem solving and analytical thinking capabilities
Demonstrated ability with enterprise application and database driven applications
Experience with relational and dimensional logical data modeling
In-depth knowledge of and ability using MS Office; analytical and business intelligence programs such as OBIEE, business objects, Informatica, Tableau, Matlab, SAS, R, SPSS etc
Extensive background and experience with report and analysis design and application of User Interface and User Experience best practices
Strong writing and analytical skills

Business Intelligence Data Analyst Resume Examples & Samples

Minimum 3 year of experience using databases to extract, summarize, and analyze information
Strong technical skills to data mine and analyze data in customer databases, including advanced query & report-writing tools such as Business Objects or equivalent
Must be expert level SQL programmer and experienced in database design using Teradata
Master’s degree in computer science or equivalent experience required
Requires the ability to understand the business issues, and then provide the best methodology and data to answer the business questions

Business Intelligence Data Analyst Resume Examples & Samples

Successfully deliver the requirements required to support the successful implementation of business intelligence projects as part of multi-million dollar, multi-year global business intelligence programs for the IT Services organization through
Building the foundation for the development effort by capturing the business context – problem, current state, desired future state, objectives, business needs and impacted user groups
Playing a critical communications role by interacting with users (business domain) and with developers and testing personnel (technical domain)
Ensuring the requirements are specified in a manner suitable for the intended audience and are understandable, unambiguous and capable of being implemented and tested
Ability to navigate the IT team and business sponsors through a level of ambiguity including business process change; building organization and structure to requirements to drive out and define detailed requirements in an efficient manner; from a position of assertivenes and BI best practice
Performing data profiling and process analysis to understand key source systems and using knowledge of application features and functions to assess scope and impact of business needs
Reviewing and validating QA test plans and supports QA team during test execution. Participate in designing data transformation (source to target mapping/ETL) and data warehouse / Dimensional modeling
Coaching and mentoring both customers and project team members in business analysis fundamentals and the benefits to successful program and project delivery through a proven track record and subject matter expertise within the business intelligence domain
Ensuring that quality business analysis standards are met as prescribed by IT Services through the effective implementation or use of approved processes, methodologies and deliverables
Analytical/Decision Making Responsibilities
Selecting the appropriate methods to elicit and document requirements within the business intelligence domain
Defining the procedures on how the requirements will be managed (base-lining requirements, requirements change control and reqs traceability)
Expected to act independently to deliver appropriate program/project requirements to schedule, budget and scope
4+ years experience within business intelligence (Enterprise Reporting, Analytics and Data Warehousing)
Proven track record of successful delivery of requirements to time and cost for large, complex business intelligence projects typically $1-$5m in value
Proven customer focus and stakeholder management experience based on openness, trust, and delivering on promises
Mastery of business analysis methodology, tools and templates appropriate to the business intelligence domain including success at achieving prompt business sign-off for requirements
Experience in selecting and executing elicitation techniques such as interviews, exploratory prototypes, facilitated workshops, focus groups, observation, user task analysis, documentation study and surveys and overall process re-engineering
Solid understanding of the following requirements models: stakeholder categories, actor tables, glossary, context diagram, data model, class model, data dictionary, event response tables, state diagrams, business rules, decision tables, process maps, use cases, and activity diagrams
Strong communication and interpersonal skills (includes negotiation)
National and international travel may be required
A degree in Computer Science or a related discipline; or equivalent work experience
Certified Business Analysis Professional (CBAP) designation a plus
Familiarity with ITIL v2 or 3 would be advantageous

Business Intelligence & Data Analyst Resume Examples & Samples

You will work in a team responsible for enhancements and maintenance of a global Enterprise Data Warehouse and Business Intelligence (BI) system
Analysis of user requirements in terms of reporting, planning and OLAP analysis and development of solutions within the team
Data model enhancements to the Enterprise Data Warehouse and development of the data flows (ETL)
Administration and Operation of the technical environment and user support for Business Intelligence
Support Business with Ad-hoc data extracts
Support global Data Management initiatives concerning Master Data and a Common Data Model used in the Integration Platform
Training of business users to get familiar with BI
IT degree or equivalent education
Good knowledge about either BI platforms (e.g. IBM Cognos BI suite) or ETL tools (e.g. Informatica PowerCenter, Microsoft SQL Integration Services)
Good knowledge about databases, data modeling and SQL (preferred Oracle PLSQL)
Knowledge of OLAP application modeling (Cognos Powercubes, TM1 or SAP Infocubes)
Good business understanding in Sales and/or Finance and/or Logistics
Good analytical, presentation and communication skills
German and English language proficiency business fluent

Business Intelligence Data Analyst Resume Examples & Samples

Create and maintain customer master information for the Farm Animal business unit (end consumer and distributor/consignment agencies), in addition to the monitoring and validation of the global customer master reports that cover both Companion and Farm Animal business units
Process 867 EDI transmitted sales of both the Livestock Core and Home Delivery Companion product lines through our Buy/Sell distribution model. This includes the monthly and quarterly sales analysis of transmitted data to ensure accuracy
Actively participate in new product launches for relevant system set up, cross reference notification, and distribution/agency account creation and classification
Collect, format, upload and reconcile monthly inventory and dispensing data for the high value Pet Specialty business
This position frequently interacts with multiple departments to achieve the desired reporting results for Sales and Marketing promotions, product category success and incentives for Field Sales personnel, Distributors and End Consumers. System enhancement suggestions and associated testing will be required as necessary
BS/BA with 1-2 years of applicable business experience, or AS with 3-4 years of applicable business experience, or high school diploma
SAP Customer Master Experience preferred
Position requires strong analytical and problem solving skills
1-2 years of enterprise resource planning (ERP) system and AS400 experience preferred
Excellent computer skills and experience with Microsoft Excel
Incumbent must have good communication skills with proven ability to effectively coordinate with internal and external customers
Candidate must be intuitive, inquisitive, self-motivated, detail oriented with ability to multi-task efficiently

Business Intelligence Data Analyst Resume Examples & Samples

Understands business problems and opportunities in the context of the requirements and recommends solutions that enable the FAA organization to achieve its reporting goals
Analyzes and determines information needs and elements, data relationships and attributes, data flow and storage requirements and reporting capabilities
Reviews business requests for data and data usage, researches data sources for new and efficient data feeds
Ensures quality data structures for the analysis of data, use of proper statistical analyses, and implementing visualization best practices in Dashboard contents created using tableau
Research, plan, recommend and implement dashboards and data visualization in Tableau to meet the organization's business requirements
Performs detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data samples)
Establish standards and best practices for dashboards and related technologies
Implement BI and Data Governance Process for the FAA
Design and create data visualizations (reports and dashboards) in tableau to support customer requirements
BS degree in Computer Science, Information Systems or equivalent
5 + years’ experience with Business Intelligence and Relational Database Management System ( RDMS)
3+ years’ experience with Tableau
Requires strong SQL development skills – writing complex queries and stored procedures – SQL, PL/SQL, T-SQL
Strong analytical skills and comfortable working with large data sets and ability to transform data into actionable insights
Strong understanding of Software development lifecycle
Excellent communication, documentation and presentation skills

Business Intelligence Data Analyst Resume Examples & Samples

Understand business process management and business requirements of the customers and translating them to specific BI requirements
Understand of business functions (sales, finance, marketing) and how they relate to business intelligence and analytics solutions
Effectively communicating with internal teams and external clients to deliver functional requirements like GUI, screen and interface designs
Act as an interface between business units, technology teams and support teams
Document and analyze the required information and data with concepts such as measures and dimensions
Understand the technical designs as well as the specifications
Evaluate the information gathered through workshops and surveys, business process description and task analysis
Conduct Functional Report Prototyping
Brings a business-based perspective to reporting and proactively suggest BI changes and initiatives
Work with business to understand report metrics and where to source data from
Can relate business requirements to testing requirements
Can lead functional testing processes
Understands and can lead requirement traceability
Develop project management skills and can lead a portion of a project
At least 1-3 years of hands-on experience
Bachelor's Degree in Computer Science, Accounting, Finance, Statistics, Mathematics
Ability to elicit requirements and motivations of the business community through interviews, facilitated sessions and written correspondence
Basic knowledge and proficiency to write Data Definition Language or Data Manipulation Language SQL commands
Experience working with business areas and other non-technical groups, translating requests into requirements
Ability to express ideas effectively, verbally and in writing
Have the investigative mindset and/or techniques that can be used with any number of tools to explore the available data
Ability to understand and translate the need of business managers into effective data management
Experience in data validation and ability to analyze large datasets
Some hands on experience with front end reporting / visualization tools is greatly desired
This position requires the willingness to travel to fulfill client requirements and project needs (up to 50%)
Master's degree and/or professional certifications are advantageous
Tableau, Alteryx or Qlikview
Data Science or advanced analytics exposure
Creativity and willingness to experiment and Results/Business oriented
Demonstrated sound analytical and diagnostic skills dealing with issues that are not readily defined and/or conflict with available information
Able to maintain partnerships across the organization, and is able to influence senior management, peers and staff through an inclusive style and recognition of their abilities to achieve results
Self-directed and able to manage priorities
Ability to craft solutions for clients in a consultative setting
Excellent interpersonal/communication skills with professional staff, senior level executives and the community at large
Creative thinking and seeking innovative solutions to complex technical/business problems