Principal Data Analyst
At a glance
Senior Data Analysis & BI role at Citizens Financial Group. United States · full-time · $132,000–$173,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and refine Net Present Value methods for consumer deposits, including assumptions about behavior after the observed period
- Run high-priority analytics projects from framing through delivery, turning business questions into data needs and reusable profitability products
- Evaluate how assumptions affect NPV estimates and use that analysis to inform customer, product, pricing and marketing decisions
- Set project priorities with business stakeholders and coordinate with analytics, technology, finance, product, risk and data teams
What you bring
- At least seven years delivering analytics, business data analysis or statistical solutions in a complex business setting
- A bachelor’s degree in a quantitative field, such as statistics, economics or mathematics, or a related discipline
- Strong SQL and Python skills, plus experience building cash-flow, profitability, pricing, valuation or customer-lifetime-value models
- A record of independently leading complex analytics work and communicating findings to technical and non-technical audiences
Who this fits
This senior role suits an experienced analyst who can steer projects with limited oversight, influence stakeholders and mentor other analysts. You’ll work on site four days each week and remotely one day, on a Monday-to-Friday schedule of forty hours.
From the employer
In this role, you will:
- Own Deposit Net Present Value (NPV) calculations, methodology, and improvement strategy
- Evaluate the assumptions required 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
- Convert ambiguous business questions into data requirements, analytic approaches, reusable datasets, and profitability related analytic products that support customer, product, pricing, marketing, and strategic decisions
- Interface directly with business stakeholders to anticipate needs, shape priorities, influence direction, and maintain alignment and trust throughout the project lifecycle
- Partner across Analytics, Technology, Finance, Product, Risk, Data, and other teams to design flexible, modular, and well-governed analytic solutions that can adapt to changing business needs
A successful incumbent will have:
- Bachelor’s degree in statistics, economics, mathematics, engineering, physics, computer science, or a related quantitative field; advanced degree preferred
- 7+ years of experience delivering analytic insights, business data analysis, statistical analysis, or related data-driven solutions in a complex business environment
- Demonstrated 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 strong partnerships by anticipating business needs, shaping strategic outcomes, influencing stakeholders, and translating complex analytical concepts for technical and non-technical audiences
- Deep 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
- Proven ability to proactively identify new areas of opportunity, propose analytical approaches, incorporate feedback, and continuously improve processes, products, and outputs
- Experience mentoring analysts, sharing expertise across teams, and raising the overall quality, consistency, and maturity of analytics delivery
Hours & Work Schedule
- Hours per Week: 40
- Work Schedule: Monday - Friday
- Hybrid: 4 days per week on site, 1 day remote
Pay Transparency
The salary range for this position is $132,000 - $173,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .
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