Principal Data Modeler

Job Description:

We are seeking a highly motivated Data Analyst/Modeler to join our Data Modeling & Analysis Center of Excellence. As a skilled analyst, you will provide data analysis leadership on multiple projects simultaneously. You will help conduct data analysis across different projects with diverse scope, sophisticated business and technical requirements in a multi-platform and highly coordinated data environment. This role is analysis and design centric; crafting and detailing data solutions/models, which are then handed to developers, engineers, and DBAs to implement.

• Bachelor’s Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) with a focus on data analysis, data structures, or data modeling.
• Expert level analysis skills in the form of research, gap analysis, data mining, and data profiling.
• Solid understanding of data lineage. Ability to breakdown and detail the flow of data from origination to consumption.
• Proven track record of solving real world problems using a design-oriented modeling approach in large data warehouses, data marts, and analytics/reporting platforms.
• Understanding of different database platforms (e.g. Oracle, Snowflake, Hadoop, Microsoft SQL Server) usages (OLTP Recordkeeping, ODS, MDM, Warehousing, and Data Lakes).
• Understanding of modeling strategies (dimensional, relational, unstructured).
• Robust SQL experience, used to design new platforms on cloud technologies/architecture including Snowflake, AWS, etc.
• Proficient with ERD/Data Modeling tools (e.g. SAP Power Designer or Erwin).
• Experience carrying out projects in an Agile environment.
• Having outstanding interpersonal skills with experience collaborating and influencing across all levels of the organization including written, verbal, and technology illustrations.
• Perform autonomously on tasks but are willing and able to share knowledge with coworkers and partners.
• Go-getter, self-sufficient, and willing to exhaust all research avenues before seeking help or discontinuing the search for answers.
• Accepts uncertainty and can combine various sources of information including personal data experimentation, research, and dialogues to formulate answers.
• Values pace over perfection and can show incremental progress of analysis and research through tangible artifacts.
• Capable of balancing multiple contending priorities.
• Familiar with the financial industry and/or have a strong desire to learn our brokerage business to enhance the value of our data.
• Experience with cloud native data warehousing and data lake solutions using Snowflake is a plus.
• Experience with Kimball Data Warehouse design techniques.

Certifications:

Category:

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.