Product Analyst for Truv - a US-based one-stop platform for income and employment data

Truv is the one-stop platform for income and employment data that empowers use cases such as income and employment verification, direct deposit switch, paycheck-linked loans, and others. They believe that discerning fact from fiction about an applicant’s employment and income shouldn’t be a process that takes days, dozens of phone calls, or hidden behind black boxes. Truv provides a frictionless and secure infrastructure that connects financial institutions and background screeners to 45+ payroll providers that house the data of 120M+ US workers. And consumers benefit from faster turnarounds and greater financial opportunities.

They're transforming the financial data industry with a secure and real-time API platform for payroll account access. Their technology streamlines income and employment verification, direct deposit switching, and more—eliminating outdated processes and unlocking greater financial opportunities. Backed by $30M from top investors like Kleiner Perkins and NYCA, they’re disrupting a $2B legacy market with cutting-edge innovation and a customer-first approach. Their leadership team brings expertise from industry giants like Apple, Carta, Venmo, MX, and Okta, driving the future of financial data access.

We are looking for a Product Analyst to strengthen the Truv analytics team. In this role, you will focus on uncovering insights, building a robust BI system, and establishing effective collaboration processes with both product and technical teams. We expect a results-driven and responsible approach, and in return, we’ll do everything to ensure you feel comfortable and engaged in this role.

Truv Inc. believes data is the backbone of their success, and they’re excited to welcome a Product Analyst who shares that vision. If you’re ready to take the next step in your career with a company that values your insights and encourages you to grow, we’d love to hear from you!

What you'll do:

Work closely with product managers, engineers, and leadership to analyze user behavior and feature performance to influence product direction.
Design and implement processes for hypothesis testing and feature evaluation in a startup environment where agility and speed are key.
Build dashboards and deep-dive analyses using ClickHouse, Metabase, SQL, and Python to uncover insights and support strategic decisions.
Help close the gap between product and analytics teams by proactively driving strategic research and pushing for better alignment and processes.
Own and lead 1–2 analytics focus areas (e.g. onboarding funnel, user retention, product engagement) within the first few months.
Collaborate with the data engineer to occasionally assist in light ETL work and help improve analytics infrastructure over time.
Leverage AI tools (e.g., OpenAI API) for data analysis and insight generation when helpful.

What you'll bring:

5+ years of experience in product or business analytics, ideally in tech-focused startups and/or established companies
Strong skills in Clickhouse, SQL, Python (pandas, NumPy, etc.) for analytics, and Metabase (or similar BI tools)
A track record of working autonomously and driving projects from start to finish in small or cross-functional teams
Experience with product analytics, especially feature usage, user behavior, funnels, and cohort analysis
Experience in B2B or B2B2C tech companies, especially in fintech
Familiarity with both startup-style pace and best practices from larger companies — someone who can thrive in ambiguity but push toward excellence
Excellent communication skills and teamwork skills to collaborate effectively with various departments.
You're a go-getter and quick learner who excels in cross-functional collaboration.
You thrive in a fast-paced environment where analytical rigor and attention to detail are key to success.
You enjoy working closely with cross-functional teams, bringing insights to life through collaboration and effective communication.
Excellent communication skills, capable of conveying technical solutions to both technical and non-technical audiences.
Ability to work independently and as part of a remote team.

Nice to have

Experience with ETL tools (e.g., Airflow), analytics event systems, and AI tools (OpenAI API, prompt engineering)
Russian language skills are helpful (many of our engineers are Russian-speaking), but not required

Working hours:

To make sure you cover most of the US time zones, we’ll need you to be ready to have an approximate schedule of working from either 8 am to 4 pm EST OR 9 am to 5 pm EST (you may check the time difference via the link).

What we offer:

Full-time job (8 working hours per day, Monday-Friday). For this vacancy, we will consider only the candidates with no plans to combine this job with another. We are looking for a full commitment and dedication.
Remote work. You may be located in almost any country, just need a good Internet connection, a powerful computer to work from, and the opportunity to adjust your working schedule for the team.
Be part of a forward-thinking team with the opportunity to shape the future of financial data access.
Work with cutting-edge technology and innovative customers.
Salary will be discussed during the interview. Paid in USD.
Flexible time-off.

Application deadline: 23rd of April, 2025.

Please note that the later you apply - the more intensive your selection process will be, for example, you will have less time for the test assignment, etc.

1. Fill in the application form - attach your CV;

2. Have a Zoom interview with Hire5 Recruiter;

3. Have a 1-hour technical interview with Product Team Lead, Yura Finskyi;

4. Have three brief (20-30 min) Zoom interviews in a row, in one day, to meet Truv's leadership (CEO, CTO, and Product Director);

5. Get hired!