Range is creating AI-powered solutions to eliminate financial complexity for our members. We’re transforming wealth management through the perfect blend of cutting-edge technology and human expertise. We’re obsessed with member experience! We’ve built an integrated platform that tackles the full spectrum of financial needs–investments, taxes, retirement planning, and estate management–all unified in one intuitive system.

Backed by Google's Gradient Ventures and Cathay Innovations, we're in hyper-growth mode and looking for exceptional talent to join our starting lineup. Every Ranger at this stage is shaping our culture and way of life—from former CEOs and startup founders to experts from leading hedge funds and tech companies.

If you're ready to build something that truly matters in financial services, bring your talent to Range. Here, you'll make a genuine impact on how people manage their financial lives while working alongside a team that celebrates wins, makes big decisions, and blazes new trails together.

About the role

As the Data & Analytics Manager, you will establish and lead the Data Analytics function at Range, building the foundation for how data drives decision-making across the company. You will work closely with cross-functional stakeholders—spanning product, engineering, operations, finance, and leadership—to make data more accessible, scalable, and actionable.

We're excited to hire this role at Range's Headquarters in McLean, VA. All of our positions follow an in-office schedule Monday through Friday, allowing you to collaborate directly with your team. If you're not currently based in one the area, but love what you see, let’s discuss relocation as part of your journey to joining us.

What you’ll do with us

• Establish and build the Data Analytics function, setting the strategy, structure, and processes for data-driven decision-making.

• Develop and enhance data accessibility cross-functionally by creating reports, dashboards, and self-service analytics tools using BI platforms.

• Coordinate with Engineering to design and maintain a scalable data infrastructure, including Extract, Transform, Load (ETL) processes, ensuring data quality and consistency across systems.

• Define and uphold data governance standards, enabling accuracy, transparency, and compliance across business intelligence and analytics workflows.

• Translate complex data findings into insights and recommendations that support strategic business initiatives and measurable outcomes.

What will set you apart

• BS or BA in Computer Science, Engineering, Statistics, Economics, Mathematics, or another quantitative discipline.

• 7+ years of experience in Data & Analytics roles, with proven success driving organizational insights and impact.

• Strong technical expertise with SQL, Python, R, and/or Spark for data extraction, analysis, and modeling.

• Proficiency with Business Intelligence (BI) tools for data visualization and reporting (e.g., Looker, Tableau, Power BI).

• Exceptional analytical, problem-solving, and communication skills with meticulous attention to detail.

• Fintech and/or Startup experience

Benefits

• Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage

• 401(k): Retirement savings program to support your future

• Paid Time Off: Dedicated time to reset and recharge plus most federal holidays

• Parental Leave: Comprehensive leave policy for growing families

• Meals: Select meals covered throughout the week

• Fitness: Monthly movement stipend

• Equity & Career Growth: Early exercise eligibility and a strong focus on professional development

• Annual Compensation Reviews: Salary and equity refreshes based on performance

• Boomerang Program: After two years at Range, you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return

Range is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve.