Product Analytics Engineer Role

The Company You’ll Join

At Truv, our mission is to make verifications easy for everyone. 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.

Benefits

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 Citadel aims to achieve.

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 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 remote-first company 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 caring about quality, you'll fit in.

What You’ll Do

• Work primarily within our Product Intelligence team, comprised of Product Analysts, Product Manager and Engineers and build end-to-end personalized experiences for all of Truv’s products.
• Maintain core data infrastructure to manage data and usage across our Truv accounts, with a focus on product and engineering initiatives.
• Work closely with Engineering, Product Management, and IT teams to inform product decisions with data insights and identify opportunities for system enhancements
• The candidate must be able to demonstrate proficiency in designing, building, testing, and maintaining complex data pipelines
• Create and maintain dashboards for Truv Leadership to monitor system, product, client performance and availability
• Track, and monitor the health of the product and bring it insights to the right folks for further investigation and fixes

About You

• Passion for data and an obsession for data-driven decisions
• 3+ years of experience with data engineering with emphasis on data analytics and reporting
• Expert-level experience with Python, SQL and AWS data engineering services, resources and architecture
• Previous experience with data visualization tools such as Amplitude, Metabase, skill with databases, and workload automation tools such as Airflow, ETL
• Bachelors/Masters in Computer science, Statistics, Mathematics or equivalent technical degree including knowledge/skill of databases and business intelligence
• Ability to thrive in a dynamic environment, ability to meet deadlines and drive results, demonstrating flexibility and a willingness to tackle challenges head-on
• Go getter? Quick learner? Data ninja? Cross-functional collaborator? Combination of it all - let's talk!

Benefits we offer

• Fully-remote company
• Equity options
• Flexible Time Off