Senior Data Analyst at Caribou Financial

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Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

100000.0

Posted On

22 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Analysis, A/B Testing, Data Visualization, Stakeholder Management, Data Preparation, Troubleshooting, Attribution Logic, DBT, BigQuery, Looker Studio, Google Analytics, Performance Analysis, Dashboard Creation, Critical Thinking

Industry

Financial Services

Description

About Caribou At Caribou, we care about giving people financial freedom so they can focus on what’s most important to them. Today, less than two percent of Americans refinance their auto loans despite drastic increases in the cost of new and used cars. We see huge potential to help folks reduce their monthly auto expenses, as well as increase the predictability of those expenses over time. We do this by building technology to pair customers with community banks and credit unions, and ushering them through the process quickly. On average, our drivers save $151/month on their car loans while protecting their investment long term. Caribou is led by leaders from the technology, automotive, and finance industries. We’re proud to be backed by a great team of investors, including QED Investors, Goldman Sachs, Moderne Ventures, Accomplice, Link Ventures, Motley Fool Ventures and others. About the Role Caribou is looking for a Senior Data Analyst to be a key analytics partner for our Partnerships team, with opportunities to support Marketing as well. You’ll play a critical role in measuring performance, managing complex analytics processes, and turning data into actionable insights for stakeholders across the company. A core responsibility of this role will be to own and manage a Python-based partner model. This includes preparing and QA’ing data inputs, running and analyzing outputs, and leading A/B testing across multiple models. You’ll also help maintain attribution logic, update dbt models that power reporting, and work with engineering to make sure partner integrations are set up correctly and data flows are reliable. This is not just a reporting role. You’ll be expected to think critically, spot issues before others do, and independently drive analyses that answer tough questions from smart stakeholders. In this role, you will: Partner with the Partnerships and Marketing teams to scope problems, design analyses, and present insights in a clear and actionable way Conduct deep-dive analyses to evaluate acquisition, conversion, and efficiency trends Build and maintain dashboards and reporting for Partnerships and Marketing KPIs Own the end-to-end process for a partner-hosted Python model, including data prep, QA, troubleshooting, and performance analysis Run A/B testing across models, analyze performance differences, and communicate findings Maintain attribution mappings and update dbt models that support both internal dashboards and external partner files Collaborate with engineering to ensure partner integrations (ie. APIs) are properly set up and that data flows are complete and accurate Proactively identify opportunities for analytics to improve processes, performance, and decision-making About You Technical: 3–5 years in analytics, BI, or related roles with strong SQL and Python skills; comfortable using Python for wrangling data, running models, and troubleshooting workflows. Experience with dbt (or similar frameworks) and familiarity with tools like BigQuery, Looker Studio, or Google Analytics is a plus Analytical: Proven ability to evaluate data critically, spot anomalies, run A/B tests, and compare model performance. Skilled at structuring complex problems and delivering clear, actionable insights Stakeholder-facing: Comfortable working directly with Partnerships and Marketing stakeholders, including senior leaders, to understand problems, communicate findings, and influence decisions Mindset: Thrives in a fast-paced environment where priorities shift. You take ownership from start to finish, enjoy solving unstructured challenges, and make sure stakeholders trust both the process and the results How we will take care of you Everyone at Caribou is a valued team member. Our compensation and benefits package includes: Competitive compensation: $80k-$100k Equity options 401k savings program Generous paid time off including Flexible Time Off (FTO) for all employees and 100% paid parental leave for all parents Exceptional benefits including highly subsidized medical, dental, and vision plans, and fully company-paid mental health, disability, and basic life insurance Optional benefits to suit your individual circumstances such as HSAs (with Caribou HSA contributions), FSAs, supplemental life and health, legal, and pet insurance Up to $1,000 per year for eligible professional development expenses Employee referral program Our Core Values We come from all walks of life and are joined together by our shared values, which guide our work and how we work together. Give a damn. What we’re doing matters. We show up determined to deliver results, and we love it. Velocity. We’re intentional about where we’re going and we race towards it. Make the assist. We have diverse strengths. We offer and ask for help so we all win. Caribou is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, marital status, military or protected veteran status, genetics, or any other characteristic protected by law. This position is not restricted solely to the responsibilities listed above, and the scope and responsibilities are subject to change. A pre-employment background check is required as a condition of employment. *Caribou does not currently have employee operations in AL, AK, AR, CT, DE, GA, HI, IA, ID, IN, KS, KY, ME, MI, MO, MS, MT, NC, ND, NE, NH, NJ, NM, NV, OH, OK, PA, RI, SC, SD, TN, UT, VT, WV, WY. California Consumer Privacy Act

Responsibilities

The Senior Data Analyst will partner with the Partnerships and Marketing teams to measure performance and turn data into actionable insights. Key responsibilities include managing a Python-based partner model, conducting deep-dive analyses, and running A/B tests.