Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Position Description:

Partners with consumers of the analytics data platform to gather requirements and translate them into clear specifications for data engineers to ensure appropriate data products are developed. Contributes to product design discussions and supports adherence to established product standards during development. Validates and quality-checks newly built data tables to confirm accuracy, completeness, and readiness for use. Builds dashboards, scorecards, and reports using visualization tools including Tableau, Power BI, Qlik, Looker, Amazon Web Services (AWS) Quicksight, and Data Studio. Programs data-processing and analytics components using Structured Query Language (SQL), Python, R, and

related technologies to support business-intelligence needs.

Primary Responsibilities:

• Defines and leads enterprise-level data strategy and analytics initiatives.
• Develops and implements advanced analytical frameworks.
• Designs, develops, and maintains scalable data and software solutions using Agile methodologies.
• Develops and maintains cloud-based analytics environments and applications using AWS services.
• Designs and implements digital analytics solutions using Adobe Analytics to monitor user behavior and digital performance.
• Transforms complex quantitative and qualitative data into actionable insights that inform strategic decision-making.
• Creates performance-measurement frameworks, defines metrics, and develops intuitive reporting interfaces to enhance organizational performance.
• Produces recurring financial, operational, and market-intelligence reports by synthesizing findings from multiple data sources.
• Develops data engineering, analytics, visualization, and cloud solutions and translates complex data into actionable insights for leadership and cross-functional stakeholders.
• Mentors junior analysts.
• Performs independent and complex technical and functional analysis for multiple divisional initiatives.
• Develops innovative insights to support strategic business goals.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) developing end-to-end data and analytics solutions, spanning Agile development, advanced

programming, big-data querying, cloud technologies, visualization, and cross-functional insight delivery, to support strategic business and product decision-making.

Or, alternatively, Master's degree in Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) developing end-to-end data and analytics solutions, spanning Agile development, advanced programming, big-data querying, cloud technologies, visualization, and cross-functional insight delivery, to support strategic business and product decision-making.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise ("DE") designing and developing intuitive dashboards, business, and data analytics reports; providing business and operational insights using Tableau or Power BI; and transforming raw data into actionable information to enable data-driven decision making and optimal business outcomes, using SQL or Tableau.
• DE performing functional, integration, and report testing to ensure the accuracy of business reports, validating data completeness, constraints, and duplication, using SQL and Excel; identifying, validating, and resolving discrepancies in measures and dimensions for real-time custom reporting using SQL and Business Intelligence (BI) tools (Tableau or Power BI).
• DE deploying and maintaining code using Continuous Integration and Continuous Delivery (CI/CD) tools (Jenkins and GitHub); and automating, coordinating, and optimizing the scheduling of complex workflows and data processing jobs (to ensure timely and efficient executions) with scheduling platforms (Control-M).
• DE performing end-to-end data engineering and analytics development using SQL, Python, R, and Google BigQuery within an Agile software development environment.

Salary: $126,775.00 to $166,000.00/year.

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Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:

Category:

Data Analytics and Insights