Data Analyst

The Company you ll Join At Truv, our mission is to make verifications easy for everyone. We think it s crazy that it can take 5 to 7 days to verify someone s employment or income. Alternatives are even worse, an API call should not cost $40. When Truv succeeds, we'll save billions of dollars for companies and billions of hours for people who're still filling out forms and uploading paystubs. Imagine applying for a loan or verifying your job history with a click of a button. That's what Truv is empowering. The Team You ll Work With We're a small but mighty team of engineers, product managers, and business folks who built and launched products at Apple, Uber, Facebook, Carta, Venmo, Telegram, and Plaid. We're well funded by US-based top VC funds. We like to nerd out about using the cutting-edge tech and building frictionless user experiences. We love crafting great products and see our users delighted by what we build. We're a distributed team with no plans to start an office anytime soon. We don't really care where you are, but we care a lot about who you are. If you like solving customer pain points, helping your team members excel at what they do, being part of a community, and care about quality, you'll fit in. What You ll Do • Define, report, and monitor key performance indicators of product areas, and lead deep dives into variations of critical metrics from normal behavior • Use Python and write SQL queries to improve data pipeline and generate reports • Build data visualizations using Metabase and Jupyter notebooks as a method of conveying data insights • Help engineering teams set up tests and perform statistical analysis of experiments • Convert analytical insights into concrete, meaningful recommendations for business or product improvement, and succinctly communicate these findings to various partners and leadership About You • 5+ years experience in analytics, consumer-facing product experience preferred • Experienced statistician with a track record of setting up and optimizing metrics tracking systems and A/B testing methodologies • Experience with building and maintaining data pipelines, ensuring data integrity • Proficient at both SQL and Python • A track record of leading cross-functional initiatives Bonus points! • Experience with DAG orchestrators (eg. Airflow) • Consumer-facing product experience Originally posted on Himalayas