Senior Manager, Advanced Data Analytics, Semantic Data Modeliing and Insights

Fidelity Investments•Smithfield, RI

1d•Onsite

About The Position

The successful candidate will work on a team within the Retail Analytics Platform (RADP) product area, specifically, building AtScale data models within our AtScale platform on AWS. This would include working directly with our data consumers on use case data need requirements that would directly impact the semantic layer design and data modeling development against our Snowflake prepared and curated databases paying close attention to the granularity of the data to meet the use case needs. Your direct engagement with the data consumers defines the standard metrics in support of the certification of metrics governance process, provides the consistency of data and supports both the development of certified dashboards on our Tableau AWS Platform, and our evolving AI capabilities around conversational analytics and agents. The team highly values quality, efficient, performant semantic layer design and data model development and would have close collaboration with the BI Developer to ensure the best design of aggregates in support of the dashboard performance; being able to communicate to the consumers any trade-offs between performance and data needs. You will also contribute to the migration of the AtScale platform from the legacy installer version to the Kubernetes EKS version. This is a hands-on, individual contributor role.

Requirements

5 years+ of demonstrated ability in data analytics, data visualization, and business intelligence.
2+ years experience developing AtScale semantic layers and BI Data Models.
Experience with the AtScale EKS developer version and/or Kubernetes EKS.
2+ years developing semantic layers and OLAP cubes (i.e., MS SSAS, Business Objects, etc.).
Data modelling background.
Experience with connecting to and writing complex SQL against cloud relational database technologies – ideally Snowflake.
Track record of working with BI/Reporting toolsets including Tableau, PowerBI and/or other BI tools.
Strong consultative, analytical, and problem-solving skills.
Ability to work with a variety of colleagues, including Product Owners and the Engineering community.
Familiarity with working in an Agile development environment using tools like JIRA and Confluence.
History of collaboration with Data Governance teams to catalog deployed business intelligence solutions.
History of working directly with data consumers to understand value add for use case development as well as the consumers use cases for the data to drive requirements.
Exceptional verbal/written communication and presentation skills.

Nice To Haves

Core Skills a plus
Experience with the AtScale EKS developer version and/or Kubernetes EKS Core Skills a plus
Familiarity with using Tableau Desktop and Server technologies an added plus
Advanced degree and/or certification in relevant subject area (e.g., analytics, computer science, data science).

Responsibilities

Building AtScale data models within our AtScale platform on AWS.
Working directly with data consumers on use case data need requirements that impact semantic layer design and data modeling development against Snowflake databases.
Defining standard metrics in support of the certification of metrics governance process.
Ensuring consistency of data to support certified dashboards on Tableau AWS Platform and AI capabilities.
Collaborating with BI Developers to ensure the best design of aggregates for dashboard performance.
Communicating trade-offs between performance and data needs to consumers.
Contributing to the migration of the AtScale platform from the legacy installer version to the Kubernetes EKS version.
Working with a variety of colleagues, including Product Owners and the Engineering community, to ensure the best dashboarding solutions are delivered.
Utilizing full life-cycle methodology including change management processes and ensuring changes are properly tested and migrated to production.
Collaborating with Data Governance teams to catalog deployed business intelligence solutions.
Working directly with data consumers to understand value add for use case development and consumers' use cases for the data to drive requirements.