Job description
Position Summary:
The Data Modeling Analyst will be responsible for designing, implementing, and documenting data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.
The successful candidate will be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms. Design models that reduce data redundancy, streamline data movements, and improve enterprise information management, including the creation of semantic layer to support business users. Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
Principal Responsibilities:
- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
- Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Work with Data Engineer to identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
- Hands-on modeling, design, configuration, installation, and performance tuning.
- Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
- Work with Data Management and Governance team to maintain metadata, lineage and data flow models.
- Organize large, complex data sets that meet functional / non-functional business requirements.
- Support analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Technology teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in executing and optimizing data projects.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Collaborating with colleagues for the purpose of collecting and structuring data.
- Collect, audit, compile, and validate data from multiple sources.
- Communicate internally and with clients externally to collect and validate data as well as answer questions regarding data.
- Apply advanced knowledge and understanding of concepts, principals, and technical capabilities to manage a wide variety of projects.
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Special Working Conditions:
Fast paced, multi-tasking environment
Travel up to 20% may be required
Important Notices:
This position description is intended to describe the level of work required of the person performing in the role and is not a contract. The essential responsibilities are outlined; other duties may be assigned as needs arise or as required to support the organization.
Driving a vehicle on behalf of the firm is required for this position. Regular local and/or regional travel is expected in order to meet with clients/colleagues at other locations. Therefore, the incumbent must possess and maintain a current, valid driver’s license in their state of residence and will be subject to annual Motor Vehicle Checks per our firm’s auto insurance policy requirements.
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