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Principal Data Analyst

2 months ago

Merrimack, New Hampshire, United States Fidelity TalentSource LLC Full time
Job Description:

Position Overview:

Fidelity TalentSource LLC is seeking a highly skilled Principal Data Analyst to join our team. As a key member of our data analytics team, you will be responsible for creating scalable and documented data design solutions using PL/SQL and Extract, Transform, Load (ETL) tools.

Key Responsibilities:

  • Develop and implement data quality review strategies to ensure the accuracy of data for business use.
  • Advocate for the adoption of Data Application Programming Interface (API) adoption and reuse.
  • Increase data fluency and literacy across business units.
  • Identify opportunities to leverage enterprise data model for new projects, improve efficiencies, and eliminate data redundancy.
  • Analyze user requirements, procedures, and problems to automate or improve existing systems.

Primary Responsibilities:

  • Enforce data modeling and data design practices.
  • Model data defining conceptual data models focusing on business data needs across subject areas.
  • Deliver physical database design from logical models.
  • Participate in requirement and analysis sessions with business and technical staff to analyze data requirements.
  • Develop a platform for asset management data projects.
  • Provide end-to-end solution and design for projects.
  • Design a data catalog product for asset management.
  • Maintain factsheets for asset management.
  • Engage with the Asset Management Data Office in key areas such as Data Management in common areas, ADAPT, Data Quality, Data Lineage and Catalog, Data Fluency and Learning, Data Access.
  • Own the Asset Management Data Taxonomy & Subject Area Governance.
  • Provide data design solutions for cross-program initiatives.
  • Influence the Data Quality Check Strategy.
  • Promote Data API Adoption and reuse.
  • Enhance data fluency and literacy across AM.
  • Support the complete landscape of Environmental, Social and Governance (ESG) Strategy Program.
  • Contribute innovative ideas to the product development process to allow the company to continually improve and maintain market leadership in the Asset Management domain.

Requirements:

  • Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Analyst (or closely related occupation) performing data analysis and design in a financial services environment.
  • Or, alternatively, Master's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Data Analyst (or closely related occupation) performing data analysis and design in a financial services environment.

Skills and Knowledge:

  • Demonstrated expertise in performing data analytics for business users based on requirements using SQL analytical functions and Informatica EDC (Enterprise Data Catalog).
  • Expertise in creating and implementing data quality checks to ensure the accuracy of data for business use using Informatica EDQ.
  • Ability to provide data support to data engineering teams during production implementation.
  • Expertise in creating Entity-Relational (ER) Data Models and Data Warehouse (DW) Data Models.
  • Ability to propose, design, and implement ER entity relationship or DW models based on business requirements.
  • Expertise in creating conceptual, logical, and physical data models using SAP PowerDesigner.
  • Ability to generate DDLs (Data Definition Language) for physical implementation of tables using SAP PowerDesigner.
  • Ability to act as a liaison between business and technology partners to translate business requirements into technical design solutions.
  • Expertise in creating business requirement documents in Microsoft Word to document requests from business partners and define the technical components of work to be done by data engineering teams.
  • Ability to collaborate with technology partners to analyze data and create a Source-To-Target (STM) mapping document using TOAD in MS Excel.
  • Expertise in planning, designing, and implementing DATA API signatures for RESTful APIs using OpenAPI Specification (OAS).
  • Ability to use the SwaggerHub platform for creating, editing, and organizing API definitions.