Manager, Analytics & Performance Insights

Fidelity Investments•Salt Lake City, UT
•Onsite

About The Position

The Manager, Analytics and Performance Insights harnesses the power of data to drive results and improve the associate, leader and customer experience within the Brokerage Client Services team. On a typical day, you’ll be interacting with stakeholders, peers and technology and data teams to help move work forward. You’ll collaborate with our data and reporting teams to represent our needs on a wide range of initiatives ranging from business performance monitoring, big data use cases, compensation and ad hoc analytics. The role is ideal for someone with an enterprise data background, who is technically proficient, understands and appreciates the sensitivity to high-quality data, and can operate effectively as part of a global team.

Requirements

  • 3 plus years working in Data and or Analytics or a degree in the field
  • Foundational understanding of visual design principles.
  • Bachelor’s degree required
  • Experience working on multiple projects at one time, in collaboration with others
  • Experience in data analytics, data visualization and data prep using low/no-code tools such as Tableau, Alteryx, Qlik, PowerBI, Snowflake, AtScale, Salesforce.
  • Practical understanding of data management concepts, data governance principles, and practices.
  • Strong desire to learn AI, Predictive Analytics and Machine Learning concepts
  • Thrive in an environment where data is abundant
  • Strong foundational skills in data visualization and data storytelling.
  • Understand how to turn data into insights which drive actions
  • Believe that quality and scale are critical to anything that you build.
  • Value pace over perfection but understand the appropriate time and place for both approaches.

Nice To Haves

  • Master’s degree preferred

Responsibilities

  • Harness the power of data to drive results and improve the associate, leader and customer experience.
  • Interact with stakeholders, peers and technology and data teams.
  • Collaborate with data and reporting teams to represent needs on initiatives such as business performance monitoring, big data use cases, compensation, and ad hoc analytics.
  • Present insights to peers and managers.
  • Work with agility, curiosity and creativity among large data sets.
  • Test different approaches and tools to uncover insights.
  • Share insights in a succinct, easily understandable way that adds value to the consumer.
  • Scan for the best approach on how to leverage and work with data.
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