Senior Analytics Engineer

Kikoff • San Francisco, CA

3d • Hybrid

About The Position

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.
As an Analytics Engineer at Kikoff, you work closely with cross-functional teams including Finance, Data Engineering, Product, and Operations. By applying your technical skills in data modeling and automation, you will help build the data infrastructure that powers financial decision-making. You will design scalable solutions that transform manual processes into reliable, self-service workflows.

Requirements

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

Nice To Haves

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

Responsibilities

• 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.
• Data Infrastructure: 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.
• Automation: Design and automate financial reporting workflows, replacing manual processes with scalable, self-service solutions for accounting, FP&A, and capital markets teams.
• Data Quality: Collaborate across finance and engineering—driving reconciliation efforts, identifying discrepancies, and implementing automated validation checks across internal systems, external vendors, and the general ledger.
• Communication and Partnership: Partner cross-functionally to deliver data-driven insights, develop key financial metrics and dashboards, and support capital markets efforts with reliable loan tape generation and lender reporting.

Benefits

• Competitive pay based on experience
• 🏥 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
• 💰 US salary range for this full-time position consists of base + equity + benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level