Director, Data Insights & Strategic Analytics

Fidelity Investments Inc.; Durham (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Fidelity Investments is seeking a senior analytics expert to turn data into strategic insights that transform customer experiences and business outcomes. You will be an integral contributor to the AACI team, driving data-driven projects across the Brokerage unit and partnering with analytics, engineering, and product teams.

You will translate complex questions into actionable recommendations, leverage SQL, Python, R, Tableau, and Power BI in modern cloud data environments, and influence

Qualifications

• 10+ years 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; MBA or MS degree is advantageous.
• Proven ability to create innovative measurement frameworks, benchmarking approaches, and performance metrics for data-driven decisions.

Responsibilities

• Spearhead data-driven projects shaping business strategy within Fidelity’s AACI team.
• Translate complex business questions into actionable insights through analytics and experimentation.
• Collaborate across analytics, engineering, data science, marketing, and product teams to accelerate insights.

Skills

Data analytics leadership

SQL

Python

R

Tableau

Power BI

Cloud data platforms

Storytelling

Stakeholder communication

AI / Generative AI

Education

Bachelor’s degree in Data Analytics or related field

MBA/MS advantageous

Tools

Tableau

Power BI

GitHub

Python

R

Job description

Fidelity Investments is seeking a senior analytics expert to turn data into strategic insights that transform customer experiences and business outcomes. You will be an integral contributor to the AACI team, driving data-driven projects across the Brokerage unit and partnering with analytics, engineering, and product teams.

You will translate complex questions into actionable recommendations, leverage SQL, Python, R, Tableau, and Power BI in modern cloud data environments, and influence