Data Modeler Resume Samples - Page 3

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Data Modelers create data structures and adapt them for computer binary processes. Typical duties listed on a Data Modeler resume sample include translating business requirements, reducing data redundancy, migrating data from one system to another, and collaborating with data architects. Based on our collection of resume examples, these professionals should demonstrate data modeling expertise, analytical thinking, strong communication skills, time management, teamwork, and computer competencies. Most Data Modelers hold a Bachelor's Degree in information technology or computer science.

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21

Centers for Medicare and Medicaid Services (cms), Baltimore MD - Etl/bi Developer and Data Modeler

The Fraud Investigation Database (FID) is a nationwide data entry and reporting system run out of CMS Data Center that allows CMS to monitor fraudulent activities and payment suspensions related to Medicare and Medicaid. The main subject areas of FID are Investigation and Case, Payment Suspension, Request for Information, Data Analysis Project, and CMS Projects.

  • Protyped the Microstrategy logical layer in the local environment for analysis of FID reports.
  • Analysed the 22 reports to determine the conversion of the reports either using FID tables and views or using Free Form SQL.
  • Worked with MicroStrategy Admin team to fix issues with installation and configuration of MSTR project in CMS environment
  • Converted several reports from PL/SQL into Microstrategy report services documents and also created the relevant MicroStrategy objects for these reports which includes logical tables, facts, attributes, metrics, filters, prompts, custom groups, grid reports that can also be used for adhoc reporting by end users.
  • Created several Free Form SQL reports in MicroStrategy and also created PL/SQL procedures that were used by these Free Form SQL reports.
  • Documented the project associated risks and communicated the same in weekly status meeting.
  • Tested the reports for appropriate summary and detail counts and performed data validations.
  • Worked on the Data Modelling Tasks for the FID Database.
Candidate Info
8
years in
workforce
3
years
at this job
MS
Business Intelligence
Electronics And Instrumentation
22

Data Modeler

  • Designed MBS pooling and pricing models through simulations and back-testing
  • Built machine learning models for mortgage banker retention, closing rate prediction and market data monitoring
  • Designed the system to analyze clients sentiments and topics from millions of client messages
  • Designed the large scale job scheduling mechanism for mortgage underwriting operation teams
  • Nominated for the 2013 Dan Gilbert Award for excellent work in predictive modeling and optimization
Candidate Info
8
years in
workforce
1
year
at this job
BS
Computer Science
MS
Engineering
MS
Mathematics
23

Data Modeler and Application Development

  • Access, SQL Server
  • Provided database design consulting and development services to the Director of Information Systems
  • Designed a 60-table client/server app against SQL Server including 24 stored procedures
  • Supported management of in-production systems
  • Reports were rendered in Access
  • System was deployed
Candidate Info
24
years in
workforce
1
month
at this job
BS
Mathematics
MS
Operations Research
PhD
Business Administration
24

Sr Data Modeler

Developed Cross Channels Data Models for Integrated Data Warehouse.

  • Analyzed the business and data requirements in detail with project stakeholders.
  • Performed detailed attribute analysis.
  • Developed 3NF logical model for ATM & Mobile subject areas.
  • Used Forward Engineering to generate DDL for creation of physical data model.
  • Used CA Erwin to develop data models.
  • Performed quality checks on data models.
  • Enforced standards and best practices around data modeling effort.
  • Conducted data model reviews with project team members.
  • Managed loading of Reference Data in the datawarehouse.
Candidate Info
17
years in
workforce
9
months
at this job
Electronics
25

Senior Data Modeler

Subject Matter Expert in scripting CA ERWIN CASE tool.

  • Analyzed business requirement documents and translating to Canonical data structure.
  • Used Levenshtein distance to determine duplicates across ERWIN models.
  • Technical assistance and mentoring to staff for understanding Canonical architecture.
  • Leveraged ERWIN scripting APIs to automate canonical entity and attribute creation.
Candidate Info
18
years in
workforce
7
months
at this job
26

Data Modeler/data Mart Architect

Tasked to design and implement a data mart to cater to all Securities Accounting reporting business needs. Design involves creating logical/physical data models, extensive source system data analysis as well as data extraction design from transactional systems, Securities operational data store (ODS) and the Enterprise data warehouse.

  • Designing of conceptual, logical and physical data models.
  • Translation of business requirements into design and technical specifications for implementation.
  • Working with various business stakeholders to identify business reporting needs (current/future).
  • Co-ordination with business analysts, SMEs, ETL developers, QA team for the implementation of the data mart.
Candidate Info
22
years in
workforce
7
months
at this job
BA
Business And Financial Accounting
27

Data Modeler/business Analyst

Environment: IBM DB2 9.5, TOAD, Erwin 8, IBM DataStage, Business Objects

  • Perform business analysis and requirements gathering to define database and reporting requirements
  • Build and maintain enterprise data models and metadata
  • Create and maintain IBM DB2 DDL for enterprise data warehouse involving tables, views, and materialized query tables
  • Create and maintain data transformation logic for IBM DataStage
Candidate Info
36
years in
workforce
5
years
at this job
BS
Industrial & Systems Engineering
MA
Information Systems
MA
Master of Arts
28

Data Modeler/analyst

  • Involved with Business Analysts team in requirements gathering and based on provided business requirements, defined detailed Technical specification documents.
  • Analyzed the Business information requirements and examined the OLAP source systems to identify the measures, dimensions and facts required for the reports.
  • Performed the data source mapping.
  • Utilized Power Designer's forward/reverse engineering tools and target database schema conversion process.
  • Documented logical, physical, relational and dimensional data models. Designed the data marts in dimensional data modeling using star and snowflake schemas.
  • Redefined attributes and relationships in the model and cleansed unwanted tables/columns as part of data analysis responsibilities.
  • Review the data model with functional and technical team.
  • Worked on the reporting requirements and involved in generating the reports for the Data Model.
  • Assist developers, ETL, BI team and end users to understand the data model.
Candidate Info
1
year in
workforce
1
year
at this job
BA
Instrumentation And Control Engineering
MA
Computer Science
29

Senior Database Architect/data Modeler

As a consultant, provide design and development support for enterprise applications for a large federal client. Responsibilities include:

  • Developing conceptual, logical, and physical database models using Infosphere Data Architect for an Oracle DBMS
  • Designing and developing a data mart to support complex Business Objects analytical reporting requirements using dimensional modeling
  • Utilizing the SCRUM agile methodology for design and development
  • Analyzing legacy systems in support of modernization efforts
  • Ensuring adherence to enterprise data architecture standards and guidelines
  • Designing ETL routines
  • Performance tuning via query optimization and database tuning
Candidate Info
31
years in
workforce
3
years
at this job
BS
Computer Science
MS
Information Systems
PhD
Information Systems
30

Business Intelligence Data Analyst/ Data Modeler

  • Used R, SAS, Minitab, SQL Server, and Microsoft Office software to condense large, complex data and theories into easy-to-understand solutions
  • Used R, SQL Server, and Excel to analyze data to gauge performance, quality and trending of business KPIs
  • Developed statistical models to solve business bottlenecks
  • Performed root-cause analysis on internal and external data to identify points of interest and to improve
  • Used SQL Server and Excel to perform ad-hoc data reporting for multiple business areas
  • Liaised between teams to gather and communicate information for process improvement
Candidate Info
5
years in
workforce
1
year
at this job
AS
Computer Science
BA
Statistics
MA
Industrial Engineering

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