Product Analyst
stellartech Open · verified Oct 24, 2026 At a glance
Mid-level Data Analysis & BI role at stellartech. Contract.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Set core-platform measures and user-experience evaluation methods with the Product Manager, including events and funnels
- Build and maintain tracking rules that keep product data complete, consistent and trusted across teams
- Find patterns across user journeys, audience groups and platform use, then automate recurring analysis
- Create dashboards, alerts and analytics systems that product and engineering teams use for daily decisions
- Test product ideas, measure feature effects and turn behavior findings into roadmap recommendations
What you bring
- Six to eight years as a product or data analyst in a product-focused IT company
- Strong SQL skills and confidence working with large datasets
- Hands-on use of product analytics and BI tools, such as Amplitude or Tableau, or comparable tools
- Knowledge of activation, retention, conversion, funnels, cohorts and user-level behavior, plus event tracking design
- Experience evaluating A/B tests with statistical methods and turning unclear questions into structured analysis
Who this fits
This mid-level contractor role suits an experienced product analyst who can build analytics from the ground up and advise product decisions. The work is remote and involves close collaboration with product managers, engineers and other teams.
From the employer
StellarTech is a rapidly growing company at the forefront of innovation in the EdTech industry. Our team is focused on building scalable products and sustainable business models that shape the future of education. We are looking for a Product Analyst to join our Platform Development Team. Working hand-in-hand with the Product Manager, you will build product analytics for our core platform from the ground up - and become the person who understands user behavior on the platform better than anyone else.
What You'll Do:
- Build product analytics for the core platform together with the Product Manager: define key metrics, events, funnels, and approaches to evaluating user experience.
- Design and maintain the event tracking framework - ensuring data is complete, consistent, and trusted across product and technical teams.
- Identify insights across user journeys, segments, and platform usage scenarios - and automate their regular discovery.
- Create and evolve dashboards, alerts, and analytics infrastructure used by product and engineering teams for day-to-day decisions.
- Support product hypotheses with data: validate ideas, evaluate feature impact, and help prioritize the roadmap with evidence.
- Translate user behavior into clear, actionable recommendations and help teams across the company make data-driven decisions.
We're Looking For:
- 6-8 years of experience as a Product Analyst / Data Analyst in a product IT company (B2C platforms, SaaS, or marketplaces are a plus).
- Strong SQL skills and confident work with large datasets.
- Hands-on experience with product analytics tools (Amplitude, Mixpanel, GA4, or similar) and BI tools (Tableau, Looker, Power BI, or similar).
- Solid understanding of product metrics: activation, retention, conversion, funnels, cohorts, and unit-level user behavior.
- Experience designing event taxonomies and setting up tracking from scratch or significantly evolving an existing setup.
- Experience with A/B testing and a working knowledge of statistics for experiment evaluation.
- Ability to turn ambiguous product questions into structured analyses and clear recommendations.
Nice to Have:
- Python or R for analysis and automation of recurring insights.
- Experience working with platform/infrastructure products or technical stakeholders (engineers, architects).
- Experience building analytics processes in a team where analytics did not exist before.
- Strong communication skills: ability to articulate findings to both technical and non-technical stakeholders.
- Proactive, problem-solving mindset - comfortable with ambiguity in a fast-paced, evolving environment.
Why You'll Love Working With Us:
- Innovative Environment: We're all about trying new things and pushing the envelope in EdTech.
- We are global remote.
- Health: company-provided medical expense compensation.
- AI solutions: AI subscription and other tools.
- Balance: Flexible paid time off - 21 days of annual leave + 10 bank holidays.
- Collaborative Culture: Work alongside passionate professionals who are as driven as you are.
---
Hiring Process:
1. Recruiter screen
2. Technical Interview
3. Hiring Manager Interview
Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Analysis & BI
Find me workBy the team behind dataroles.