Data Analyst

Company shown to members 🔒 · Remote · US, Indonesia only

US, Indonesia only2+ years requiredPublished 28 October 2026Looks fresh

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First recorded by Psst: 30 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
2+ years required
Where you can live
US, Indonesia only
Languages
English
Skills and tools
forecasting, sql, python, a/b testing, onboarding, b2b

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United States, Indonesia
Employment type
Not stated by the employer
Advertised pay
Not stated by the employer
Experience
2+ years required
Employer publication date
28 October 2026
First recorded by Psst
30 October 2026
Last checked at the source
8 November 2026

About the job

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.

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