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.

Requirements

Bachelor's or above in a quantitative discipline: Computer Science, Engineering, Statistics, Economics, or related field
A minimum of 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, Metabase, Amplitude…
Attention to detail and the ability to work with large datasets to ensure accuracy and uncover meaningful patterns
Strong verbal and written communication skills
A humble, collaborative can-do attitude and natural curiosity
Prior experience working with finance teams is a plus but not required

Benefits

Medical, dental, and vision coverage - Kikoff covers the full cost of health insurance for the employee!
Meaningful equity in the form of RSU's
20 days of paid time off per year — we encourage taking real time away to recharge and do your best work

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata engineeringanalytics engineeringdata transformationdata modelingdata pipeline developmentdata reconciliationfinancial reportingdata manipulation

Soft Skills

attention to detailverbal communicationwritten communicationcollaborationcuriosityproblem-solvingadaptabilitycritical thinkingorganizational skillsdata quality assurance