Data Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 5d ago
The date the source published, not the day we noticed it (2026-10-28). Last seen at its source just now.
We have tracked this listing since 28 Oct 2026 (4 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Poland, Georgia, Kazakhstan, Indonesia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay, by region:
- Europe $90k–178k/yr (73 listings, all levels)
- Asia A$1,650–2,250/mo (17 listings, all levels)
Middle 50% of Operations listings that do state pay in each region, in the currency most of them state. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 4d ago · last seen just now
The listing
As a Data Analyst in the Business Analytics team, you’ll be the dedicated analyst for our B2B commercial direction. You’ll work as an independent contributor, side by side with the commercial team. You’ll find growth opportunities in the data, form and test hypotheses, and measure the impact of business initiatives that are not product features. Your first projects will be supporting and developing our pricing override and cost modifier processes, designing experiments around the credit limits we give B2B partners to help grow their booking volumes, and evaluating the financial and customer impact of opening local legal entities in new markets. A/B testing alone often isn’t enough here, so you’ll choose and apply other methods, such as difference-in-differences or causal impact. There is no ready-made playbook. You’ll set your own approach, and project managers on both sides will help you run the work. The role suits a self-driven analyst who wants real ownership and visible impact on commercial decisions, and it can grow as the direction expands.
Requirements
- 2+ years of experience in business, data or product analytics.
- Strong SQL, including writing efficient, fast-running queries.
- Confident Python and its data libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn and others.
- Hands-on experience with difference-in-differences.
- Experience with causal inference methods: Causal Impact, Propensity Score Matching and similar.
- Solid knowledge of statistics and experience designing and running A/B tests and other experiments.
- Ability to dive deep into business processes, solve non-standard problems and work independently.
- Fluent Russian and English B2.
Nice to have
- Experience with time series forecasting (Prophet, ARIMA, Exponential Smoothing or similar).
- Experience in B2B, commercial or partner analytics.
- Experience onboarding or mentoring junior colleagues.
- Hands-on use of AI tools, such as Copilot or agents, to speed up your work.
Benefits
- Flexible schedules and opportunity to work remotely.
- Ambitious and supportive team who love what they do, appreciate each other, and grow together.
- A structured onboarding, a personal development plan, and regular internal lectures and demos from the team.
- Internal programs for adaptation and training, development of soft skills, and leadership abilities.
- Partial compensation for participating in external training and conferences.
- Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
- Corporate prices on hotels and travel services.
- MyTime Day Off - an extra non-working day without loss of compensation.