About The Position

As a Manager, Advanced Data Analytics in Fidelity’s Advanced Analytics and Customer Insights organization, you will use data to support strategic decisions and transform customer experiences. You will help develop and lead data- and hypothesis-driven initiatives, using a customer-first mindset, ownership, curiosity, and continuous learning to deliver impactful results. The role involves creating and summarizing large structured and unstructured datasets, analyzing data and developing insights and reporting capabilities that help organizational leaders make value-based prioritization decisions, and applying deep statistical analysis to develop solutions and thought leadership across the Digital Transformation organization. You will work with an agile, interdisciplinary team embedded in Fidelity’s Brokerage business unit, collaborating across analytics, engineering, data science, marketing, and product development to optimize and personalize the Fidelity experience.

Requirements

  • Bachelor’s degree required.
  • At least 4 years of experience generating analytical insights to drive business actions.
  • Experience with analytical tools and programming languages such as SQL, Python, or R.
  • Experience designing and developing dashboards and reports using Tableau or Power BI.
  • Experience using and querying big data technologies such as Snowflake or Athena.

Nice To Haves

  • Advanced degree.
  • Experience leveraging AI, Generative AI, and automation tools to improve efficiency across the insight-generation process.

Responsibilities

  • Create and summarize large structured and unstructured datasets.
  • Collect and analyze data, develop insights, and build reporting capabilities to support value-based prioritization decisions by organizational leaders.
  • Use deep statistical analysis to create solutions and drive thought leadership across the Digital Transformation organization.
  • Collaborate with diverse, interdisciplinary teams to improve outcomes for Fidelity and its customers.
  • Help develop and lead data- and hypothesis-driven initiatives.

Benefits

  • Comprehensive health care coverage.
  • Emotional well-being support.
  • Retirement benefits.
  • Paid time off.
  • Parental leave.
  • Charitable giving employee match program.
  • Educational assistance, including student loan repayment, tuition reimbursement, and learning resources for career development.
  • Bonus or other variable compensation may be included, depending on the position and eligibility requirements.
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