Director, Advanced Data Analytics and Insights

Fidelity Investments•Durham, NC

1d•Onsite

About The Position

Are you passionate about using data to drive strategic decisions and transform customer experiences? Do you flourish with uncovering insights by connecting the dots across diverse datasets customer behaviors, transactional history, interactions and financial metrics? If so, we invite you to join our forward-thinking team at Fidelity and make a real-world impact for over 40 million individual investors. Candidates must be able to demonstrate data to inform decisions, synthesize and clearly communicate insights, and apply a customer-first mindset with ownership, curiosity, and a commitment to continuous learning to deliver impactful results.

Requirements

10 plus years of experience turning data into meaningful insights that influence strategy, improve customer experiences, and drive measurable business outcomes.
Bachelor’s degree or equivalent experience in a quantitative field (e.g., Data Analytics, Economics, Statistics, Finance).
Advanced analytical expertise with tools such as SQL, Python, R, Tableau, Github and Power BI.
Experience working in modern cloud-based data environments.
Exceptional communication and storytelling skills.

Nice To Haves

MBA or MS degree is considered advantageous.
Proven ability to create innovative measurement frameworks, benchmarking approaches, and performance metrics that help leaders make confident, data-driven decisions and enable scale.
Strong strategic problem solver.
Passion for understanding customer behavior through digital, journey, and live experience analytics.
Collaborative leader who thrives across functions and embraces emerging technologies, including AI and Generative AI.

Responsibilities

Spearhead data-driven projects that influence business strategy, eliminate customer obstacles, and improve the customer experience.
Drive experimentation and personalization across the Fidelity experience.
Connect the dots across diverse datasets including customer behaviors, transactional history, interactions, and financial metrics.
Inform decisions with data.
Synthesize and clearly communicate insights.
Apply a customer-first mindset with ownership, curiosity, and a commitment to continuous learning to deliver impactful results.
Create innovative measurement frameworks, benchmarking approaches, and performance metrics.
Translate complex business questions into actionable insights through analytics, experimentation, and evidence-based approaches.
Understand customer behavior through digital, journey, and live experience analytics, uncovering opportunities to enhance engagement and satisfaction.
Simplify complex analyses and influence stakeholders at all levels of the organization.
Embrace emerging technologies, including AI and Generative AI, to accelerate insights, improve efficiency, and drive innovation.