Senior Analytics Engineer

Senior Analytics Engineer, Finance

Kikoff is a high-growth fintech startup building products to create fair, effective, and simple financial pathways to help 100M Americans reach their financial goals. Investors include Lightspeed, Coatue and GGV. Our founders are serial entrepreneurs who co-founded and served as C-suite executives.

Skip the bureaucracy of a big company and work with a seasoned team. We balance best practices from our experience in post-IPO companies with the familiar intuition that comes from pre-IPO zero-to-one work.

You will:

• Build and maintain data pipelines and models that power finance reporting, transforming raw data into reliable, well-documented datasets using tools like dbt and Dagster.

• Design and automate financial reporting workflows, replacing manual processes with scalable, self-service solutions for accounting, FP&A, and capital markets teams.

• Collaborate across finance and engineering to translate business requirements into technical specifications and maintain data accuracy across systems.

• Drive data reconciliation efforts between internal systems, external vendors, and the general ledger—identifying discrepancies and implementing automated validation checks.

• Develop and maintain key financial metrics and dashboards that provide ongoing visibility into product and business performance.

• Support capital markets efforts by building reliable, repeatable processes for loan tape generation and lender reporting requirements.

• Partner cross-functionally with product, marketing, and operations to deliver data-driven insights that optimize financial projections and inform decision-making

• Champion data quality and documentation, ensuring reporting solutions are accurate, reliable, and performant.

We’re looking for someone who has:

• Bachelor's or above in a quantitative discipline: Computer Science, Engineering, Statistics, Economics, or related field

• 2+ years of work experience in analytics engineering, data engineering, or a related role. 4 years of experience preferred.

• Strong SQL skills; experience with data transformation tools like dbt is a plus.

• Proficiency in Python for data manipulation and automation.

• Experience with modern data stack tools such as Snowflake, Dagster | Airflow, Metabase, and Amplitude, with a demonstrated ability to create actionable insights from data.

• A track record of building automated reporting solutions that reduce manual work and improve data accessibility

• Attention to detail and the ability to work with large datasets to uncover meaningful patterns and trends.

• Intellectually curious and self-driven to learn more in an unstructured environment.

• Prior experience working with finance teams is a plus but not required.

• Project management and organizational skills, with the ability to manage multiple priorities and meet deadlines.