Uncover meaningful insights from complex, disparate data sources, identifying patterns and predictive trends that inform decisions.
Lead structured problem‑solving by organizing, analyzing, and interpreting data to diagnose true root causes.
Rapidly learn new domains and apply industry research, benchmarks, and trends to bring forward‑looking thought leadership.
Blend analytical rigor with creative thinking to design innovative, data‑driven solutions.
Own workstreams end‑to‑end—building datasets, conducting analysis, and delivering insights that drive measurable results.
Navigate ambiguity with confidence, exercising sound judgment on when to lead independently or seek alignment.
Champion automation and process excellence to streamline workflows and enhance efficiency.
Collaborate as a strong team player, stepping in wherever needed and engaging stakeholders with empathy and active listening.
Communicate clearly and persuasively translating complex ideas into simple, actionable recommendations and delivering executive‑ready presentations.
Facilitate alignment, co‑create solutions, and influence without authority through credibility, partnership, and strong stakeholder relationships.

Bachelor’s degree (BA/BS) required; advanced study or certification in data science, engineering, analytics, or related fields preferred.
3+ years of experience in financial services and working with complex, data‑rich environments preferred.
2+ years of experience in an NWOW‑type culture (Agile, Design Thinking, OKRs, Adaptive Leadership, process re‑engineering).
Proven experience analyzing people, culture, performance, and financial data, and developing sophisticated data visualizations.
Proficiency with analytical and visualization tools such as R, Python, Power BI, Tableau, and employee experience platforms like Perceptyx.
Strong strategic problem‑solving skills and the ability to translate insights into clear, actionable recommendations.
Excellent written and verbal communication, including the ability to convey complex topics succinctly and present to senior leaders.
Strong interpersonal skills, maturity, sound judgment, and the ability to work effectively across all levels of the organization.
Highly reliable, self‑motivated, and adept at prioritizing in a results‑oriented environment.

Innovation Data & Reporting Analyst

Key skills