Data Modeler Job Description template and pdf with duties [2024]

Job summary 1

The Data Modeler is responsible for defining and managing critical data structures for current and future needs. The primary responsibilities are to gather business requirements and translate them into logical data models, and to create technical design specifications including source to target mapping documentation for ETL developers.

Duties & Responsibilities 1

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Develop entity relationships (ER models) for normalized and dimensional models
Assist and guide existing Data Modelers and Data Architects
Technical evaluation for assignments involving existing models for legacy applications and creation of new model in support of application development
Work closely with the ETL, BI, DBA and other teams to develop appropriate data models
- Participates in collaborative working environment using the agile methodology
- Provide technical leadership and guidance to business partners, peers and vendor partners
- Performs related duties as assigned or requested

Requirements & Skills 1

Job summary 2

The Enterprise Data Modeling team is looking for a Data Modeler to join a diverse team dedicated to data analysis, data classification, logical and physical data design. On this team you will collaborate closely with others to understand operational and analytical requirements and develop and document data design solutions to help the business achieve its goals.

Duties & Responsibilities 2

Design, develop and deploy database models for application development to support business applications, ensuring system scalability, security, performance, and reliability.
Perform data analysis and data modeling for operational application and analytical databases.
- Be responsible for data classification, naming, design of the database, and the creation of DDL.
- Provide technical consulting for application teams for data naming, classification, design and handling as a part of the first line of defense for data controls in designing systems.
- Suggest and implement improvements in architecture, team processes and functions.

Requirements & Skills 2

Job summary 3

We are seeking a Data Modeler to provide best value healthcare and professional consulting services. Qualified candidates will have experience producing detailed database designs, data models, and data flow diagrams. Prior experience coordinating conversion and migration of databases for government clients is preferred.

Duties & Responsibilities 3

Providing technical expertise in support of detailed database designs and design documentation production, including data models and data flow diagrams
- Evaluating and configuring database products to match user requirements with corresponding system capabilities
- Determining file organization, indexing methods, and security procedures for system databases to preserve data
- Planning and coordinating conversion and migration of existing or legacy databases to support the availability, usability, integrity, and security of data

Requirements & Skills 3

U.S. Citizen or Green Card Holder
Bachelor’s degree required; Studies in Information Science, Applied Mathematics, Computer Science, or related discipline preferred
4+ years of related experience supporting database design and design documentation production
Experience producing data models and data flow diagrams
- Experience determining security procedures for system databases to maintain the viability of and access to data based on organizational needs
- Ability to clearly communicate and exchange information with co-workers, teammates, stakeholders, and other personnel, as required
- Proficiency working across the Microsoft Office Suite, including advanced Excel skills

Job summary 4

The Data Modeler lends technical expertise to internal and external business partners in support of company analytical needs. This position provides technical direction, design and development of all reporting, dashboard, data analytics and business intelligence offerings, including the enhancement, support and training for the department. This position is responsible for data analysis functions including defining, designing and delivering ad hoc and production reports, data governance and quality, and overseeing the technology tools and architecture for business intelligence and key performance metrics. The Data Modeler is also in charge of maintenance and development of departmental applications at a programming level in order to accommodate evolving business needs. Also responsible for finding ways to optimize business process and workflow.

Duties & Responsibilities 4

Provide process improvement leadership for divisional and enterprise projects. Candidate will possess a variety of process improvement skills and tools along with the knowledge of when, where and how to apply such tools.
Oversees the on-going administration of several data warehouse/data mart technology environments and internal departmental applications from the business and end-user’s perspective.
Works with business decision makers to ensure databases and reports have accurate and consistent content that is formally accepted by the business owners of the data.
Gathers reporting requirements and suggests report design approaches.
- Provides project oversight on various application development projects and data needs supporting customer facing applications, business to business applications and research programs.
- Develops custom scripts, tools and queries for data manipulation, system automation, and analysis using an array of SQL, Excel, as well as other 3rd party tools. Integrates with existing systems such as Business Objects and the departmental operations applications.
- Creates report frameworks and automates business processes internally for the department in order to increase and optimize the efficiency of existing day to day administrative duties

Requirements & Skills 4

Job summary 5

The Data Modeler conducts research and builds statistical models in support of our deposits operations (account opening, fraud, marketing, and operations). This role is responsible to provide thought leadership to the business, his peers and team members on the modeling / data science team comprised of Data Scientist developing quantitative models. This position is also expected to provide technical coaching/leadership to Business Analysts who use the models to develop and evolve credit or fraud decision policies.

Duties & Responsibilities 5

Develop statistical and machine learning models used in deposit account opening, transaction review, fraud, marketing, and operations
Lead research and development efforts to explore and assess the use of diverse modeling techniques and methodologies to support solving credit, fraud, marketing, and operations needs in pioneering fashion.
Fulfill leadership responsibilities as applicable which include assisting with sourcing and hiring talented modeling team members, providing ongoing coaching and feedback, recognizing and developing team members, identifying and managing risks, and collaborating with leaders across the organization to ensure alignment with model management.
Facilitate communication and documentation on major modeling and credit/fraud/marketing policy initiatives.
Regularly interact and help manage ongoing relationships with cross-functional teams including Credit and Fraud Deposits Strategy, Model Risk Management, Internal Audit, Investor team members, Finance, Compliance, executive management and related Committees to ensure communication of critical information in a timely manner.
Ensure an efficient infrastructure for model development, documentation, implementation, and validation.
- Evaluate models and communicate strengths and limitations of models; ensure credit, fraud, marketing, and operations strategy teams understand appropriate uses of models.
- Manage change management of production models.
- Set agenda for continuous evolution of tools and innovations including new data sources and modeling techniques.

Requirements & Skills 5

3+ years of experience in consumer credit portfolio or deposits risk management, credit strategy and decision science; 4+ years of experience leading modeling teams
Master's degree or higher in a quantitative discipline
2+ years experience with machine learning model development
- Experience leading complex initiatives involving cross-functional stakeholders both internal and external.
- Ability to communicate clearly and precisely on technical and business topics across all levels of management.
- Proven ability to influence and partner with stakeholders and business leaders.

Job summary 6

The Data Modeler will be responsible for developing, designing, documenting, managing, and disseminating end-to-end conceptual, logical, and physical data models across both MicroStrategy/BusinessObjects reporting tools and Oracle/Snowflake databases. They must be familiar with data warehouse architectures, ETL principles, BI semantic modeling, and BI report development. They should also have strong experience in data modeling, SQL, data analysis, architecture, and design.

Duties & Responsibilities 6

Requirements & Skills 6

Job summary 7

As a Data Modeler, you will be part of the Data Architecture and Modeling Team that provides data solutions for integration, reporting, and analytics. The Data Modeling and Master Data Management sub-team is charged with modeling and documenting data assets as well as implementing reporting and analytics.

Duties & Responsibilities 7

Requirements & Skills 7

B.S. in Information Management Systems, Data Science, Computer Science, or related technical field
5+ years of experience developing conceptual, logical, and physical data models
5+ years of hands-on experience in architecture, design, or development of enterprise data solutions and integrations
Effective oral, written, and interpersonal communication skills, communicating in a technical and non-technical manner with business customers
Ability to work effectively with associates at all levels within the organization
- Demonstrated ability to establish priorities, organize ad plan work to satisfy established timeframes
- Proven ability to handle multiple tasks and projects simultaneously
- Analytical skills, problem-solving, and attention to detail

Job summary 8

We are seeking an experienced Data Modeler for a 6-month contract opportunity supporting one of our enterprise-level projects.

Duties & Responsibilities 8

Analyze and translate business needs into long-term solution data models.
Evaluate existing data systems.
Work with the development team to create conceptual data models and data flows.
Develop best practices for data coding to ensure consistency within the system.
Review modifications of existing systems for cross-compatibility.
Implement data strategies and develop physical data models.
- Update and optimize local and metadata models.
- Evaluate implemented data systems for variances, discrepancies, and efficiency.
- Troubleshoot and optimize data systems.

Requirements & Skills 8

Bachelor's degree in computer science, information technology, or a similar field.
3 years of hands-on experience with physical and relational data modeling.
Expert knowledge of metadata management and related tools.
Experience with one of the following data modeling tools: Erwin, ER/Studio, Toad, SQL Data Modeler, Vertabelo, Visio, Collibra
Experience with Data Vault modeling
Knowledge of mathematical foundations and statistical analysis.
- Strong interpersonal skills.
- Excellent communication and presentation skills.
- Advanced troubleshooting skills.

Job summary 9

It's your chance to build your career with the leading company in AI. If you are a Data Modeler who loves to push the boundaries to solve complex business problems and develop your career, we wish to talk with you.

Duties & Responsibilities 9

Requirements & Skills 9

Bachelor's degree in Computer Science, Engineering, or relevant fields with 8+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or similar role for large scale enterprise solutions.
8+ years of experience with Data Modeling in finance, commercial, supply chains, procurement, Customer analytics
8+ years of experience of IT platform implementation in a technical role
8+ years of development and/or DBA experience in Relational Database Management Systems (RDBMS)
3+ years of experience in Data Transformation/ETL tools and technologies, and related concepts such as data catalog
- 5+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem including Data Lake, Data Warehouses, and Graph DB
- AWS Solutions Architect Professional Level certifications
- Extensive experience in data analysis on critical enterprise systems like SAP, E1, Mainframe ERP, SFDC, Adobe Platform and eCommerce systems

Job summary 10

We are looking for a Data Modeler.

Duties & Responsibilities 10

Requirements & Skills 10

Bachelors and 2 years related experience or 6 years of experience in lieu of degree
Must be US Citizen
Must have active TS Clearance with SCI Eligibility

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