Demo

Lead Analytics Engineer

Koalafi
Arlington, VA Full Time
POSTED ON 1/6/2026
AVAILABLE BEFORE 2/4/2026
At Koalafi, we believe in a world where no one has to put an important purchase on hold. That's why we're making it easier for more people to pay for big purchases over time.

Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers, while increasing sales and strengthening customer loyalty. Their 2M customers love us because we provide a flexible way for them to make payments and give them an opportunity to improve their credit. Our 200 Koalafi teammates enjoy inspiring and challenging work that accelerates their careers.

Interested in learning more about how we're transforming the financing experience and joining our team?

What You'll Do

Our data platform team is looking for a Lead Analytics Engineer to drive the design and development of enterprise data products. This is a technical leadership role where you'll own high-value project outcomes end-to-end. You'll scope initiatives, organize delivery for yourself and team members, and build production datasets that power business intelligence and analytics across the organization. As the senior technical contributor on the analytics engineering team, you'll set the standard for hands-on delivery and quality.

You'll partner closely with analysts, business stakeholders, and data engineers to translate complex business needs into scalable, well-modeled datasets using modern tools like dbt and Snowflake. The Lead Analytics Engineer will apply proven technical expertise, project leadership, and problem-solving skills to drive team success and deliver quality data solutions.

  • Lead major enterprise data initiatives from requirements gathering through design, implementation, testing, and stakeholder adoption
  • Own data modeling and architecture decisions for analytics-facing datasets, applying dimensional modeling, slowly changing dimensions, and modern data warehousing techniques
  • Design, develop, test, and deploy production data products using dbt and Snowflake that meet critical business intelligence and reporting needs
  • Mentor and coach junior analytics engineers, providing technical guidance, code reviews, and career development support
  • Establish and evolve data modeling standards, testing practices, documentation conventions, and engineering best practices across the team
  • Partner with BI teams to optimize data structures for reporting tool consumption (Tableau, Omni, or similar)
  • Collaborate with stakeholders and engineering leadership to understand requirements and create consensus on approach and outcomes
  • Prepare and socialize documentation of data models, pipeline specifications, and architectural decisions

About You

  • Four-year college or university program certificate in Computer Science/Engineering or Information Systems; or 8 years related experience and/or training; or equivalent combination of education and experience
  • 8 years hands-on experience delivering data solutions in production
  • 5 years contributing to a data, analytics, or BI engineering team
  • Proven track record leading data projects end-to-end, including requirements gathering, scoping, design, and stakeholder management
  • Deep expertise in data warehousing techniques: dimensional modeling, slowly changing dimensions, fact/dimension design
  • Expert-level SQL skills with experience writing complex, performant queries
  • Production experience with dbt (dbt Core or dbt Cloud)
  • Experience with Snowflake or comparable cloud data warehouse
  • Experience preparing and optimizing data for consumption by BI/reporting tools (Tableau, Omni, Looker, or similar)
  • Experience mentoring or leading other engineers
  • Exceptional analytical, conceptual, and problem-solving abilities
  • Highly self-motivated and directed, with keen attention to detail
  • Ability to drive towards outcomes that meet stakeholder needs
  • Knowledge of scrum/agile software development process
  • Experience with source control tools such as Git, and familiarity with CI/CD concepts
  • Location Requirement: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must already be located within a commutable distance to either location, as relocation assistance is not available at this time.

Why choose Koalafi: A career at Koalafi means opportunities to tackle exciting challenges every single day. We take pride in a culture of innovation, trust, and ownership. You'll get outside your comfort zone, build meaningful relationships, and most of all, take charge of projects that ultimately help people get the things they need most.

Benefits:

At Koalafi, you will have a direct impact on our products and help shape the company's success. We offer competitive compensation & benefits packages to keep you at your best:

  • Comprehensive medical, dental, and vision coverage
  • 20 PTO days 11 paid holidays
  • 401(k) retirement with company matching
  • Student Loan & Tuition Reimbursement
  • Commuter assistance
  • Parental leave (maternal paternal)
  • Inclusion and Associate Engagement Programs

Who we are & what we value:

  • We focus on what's most important
  • We set clear expectations and deliver
  • We embrace challenges to reach our full potential
  • We ask, "How can this be better?"
  • We move fast together

Salary.com Estimation for Lead Analytics Engineer in Arlington, VA
$113,016 to $147,408
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