Data Analyst
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Before you apply
LocationIndonesia
Work moderemote
SeniorityMid
Experience2+ yrs
DepartmentIT Recruitment
Company size501–1,000 people
PostedOct 28, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
SQL
Python
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
Prophet
ARIMA
Benefits
Flexible schedules
Remote work
Professional development
Training
Corporate english classes
Travel discounts
Extra day off
About the role
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.