Principal Data Analyst
About The Position
Citizens’ Decision Science organization is seeking a Principal Data Analyst to lead high-impact analytics initiatives that translate complex business questions into scalable data solutions, actionable insights, and measurable business outcomes. The role focuses on owning the development, implementation, and periodic update of Net Present Value models for the Consumer Deposits portfolio, shaping analytic strategy, guiding project execution, and partnering with senior business stakeholders. The Principal Data Analyst owns Deposit Net Present Value calculations, methodology, and improvement strategy; evaluates assumptions used to extrapolate customer behavior beyond observed measurement periods and assesses how those assumptions affect NPV estimates. The role leads multiple high-priority analytics projects from problem framing through delivery and converts ambiguous business questions into data requirements, analytic approaches, reusable datasets, and profitability-related analytic products. The position works directly with business stakeholders to anticipate needs, shape priorities, influence direction, and maintain alignment and trust throughout project lifecycles. It also partners across Analytics, Technology, Finance, Product, Risk, Data, and other teams to design flexible, modular, well-governed analytic solutions that can adapt to changing business needs. The schedule is 40 hours per week, Monday through Friday, with four days per week onsite and one day remote.
Requirements
- Bachelor’s degree in statistics, economics, mathematics, engineering, physics, computer science, or a related quantitative field.
- At least 7 years of experience delivering analytic insights, business data analysis, statistical analysis, or related data-driven solutions in a complex business environment.
- Ability to independently lead complex analytics projects, manage competing priorities, and deliver high-quality outcomes with minimal oversight.
- Strong proficiency with SQL, Python, and other open-source or enterprise tools used for data analysis, analytic dataset development, automation, and insight generation.
- Experience developing cash-flow, profitability, pricing, valuation, or customer-lifetime-value models.
- Ability to build partnerships, anticipate business needs, shape strategic outcomes, influence stakeholders, and explain complex analytical concepts to technical and non-technical audiences.
- Curiosity about the business, including how business processes are reflected in enterprise data and how analytics can improve customer, operational, financial, or strategic outcomes.
- Experience designing scalable, cross-functional analytic solutions with attention to data quality, sample construction, methodology, documentation, controls, and business relevance.
- Ability to proactively identify opportunities, propose analytical approaches, incorporate feedback, and continuously improve processes, products, and outputs.
- Experience mentoring analysts and sharing expertise across teams.
Nice To Haves
- An advanced degree in a quantitative field.
Responsibilities
- Own Deposit Net Present Value calculations, methodology, and improvement strategy.
- Evaluate assumptions used to extrapolate customer behavior beyond the observed measurement period and assess the sensitivity of NPV estimates to those assumptions.
- Lead multiple high-priority analytics projects from problem framing through delivery, ensuring solutions are accurate, timely, scalable, and aligned to business strategy.
- Translate ambiguous business questions into data requirements, analytic approaches, reusable datasets, and profitability-related analytic products supporting customer, product, pricing, marketing, and strategic decisions.
- Engage directly with business stakeholders to anticipate needs, shape priorities, influence direction, and maintain alignment and trust throughout project lifecycles.
- Partner across Analytics, Technology, Finance, Product, Risk, Data, and other teams to design flexible, modular, and well-governed analytic solutions.
- Mentor analysts, share expertise across teams, and help raise the quality, consistency, and maturity of analytics delivery.
- Identify new opportunities, propose analytical approaches, incorporate feedback, and continuously improve processes, products, and outputs.
Benefits
- Competitive pay
- Comprehensive medical coverage
- Dental coverage
- Vision coverage
- Retirement benefits
- Maternity leave
- Paternity leave
- Flexible work arrangements
- Education reimbursement
- Wellness programs
- Paid time off policy exceeding mandatory paid sick or paid time-away requirements in every local and state jurisdiction in the United States
- Opportunity to earn an annual discretionary bonus
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Principal
