Associate, Analytics & Performance Insights

Fidelity•Salt Lake, UT

1d•Onsite

About The Position

The Manager, Analytics and Performance Insights, leverages data to drive results and improve the associate, leader and customer experience within our Brokerage Client Services team. You will help build trust in our data products as we prepare for timely, personalized diagnostics that will be provided to our customer-facing teams and business partners.

Requirements

3 plus years working in Data and or Analytics or a degree in the field
Bachelor’s degree required
Practical understanding of data management concepts, semantic-tagging, data governance principles, and practices
Experience in data quality, data management, analytics, visualization and data prep using low/no-code tools such as Tableau, Alteryx, Qlik, PowerBI, Snowflake, AtScale, Salesforce, Ataccama, Alation and Colibra
Strong desire to learn AI, Predictive Analytics and Machine Learning concepts
Thrives in an environment where data is abundant
Believes in trust and accountability, especially as it relates to how data is managed and consumed
Strong foundational skills in documentation, organization and accuracy
Comfortable testing different approaches and tools to uncover insights
Comfortable and confident in elevating anomalies and issues before they impact the business
Responsive and proactive with the partners that rely upon you for quality data
Always scanning for the best approach on how to leverage and work with our data
Believes that quality and scale are critical to anything that you build.
Values pace over perfection but understands the appropriate time and place for both approaches.

Nice To Haves

Fidelity will not provide immigration sponsorship for this position.

Responsibilities

Leverages data to drive results and improve the associate, leader and customer experience within our Brokerage Client Services team.
Helps build trust in our data products as we prepare for timely, personalized diagnostics that will be provided to our customer-facing teams and business partners.
Works on multiple projects at one time, in collaboration with others.
Presents data concepts to peers and managers.
Documents, organizes, and ensures accuracy in data management.
Works with agility, curiosity and creativity among large data sets.
Tests different approaches and tools to uncover insights.
Elevates anomalies and issues before they impact the business.
Is responsive and proactive with partners that rely upon them for quality data.
Scans for the best approach on how to leverage and work with our data.
Believes that quality and scale are critical to anything that is built.
Values pace over perfection but understands the appropriate time and place for both approaches.