Data Analyst/Scientist (вакансія неактивна)

About the role

This role will employ a wide variety of data science skills to create a fantastic consumer and partner experience. You will work on significant, ambiguous, and cross-functional problems with our Product, Marketing, Strategy, and operation teams and generate data-driven insights that push the business forward.

This role helps understand questions such as:

• User insights and segmentation: How do users behave on our site (and beyond), and what patterns can we identify? Can we segment users in ways that help our marketing and product teams provide a better experience?
• Experimentation: can we standardize how we run A/B tests and automate all our test analyses? How can we run 10x more experiments in 1-2 years?
• Reporting and storytelling: how can we succinctly summarize how our business is performing? What metrics should we track, how should we define them, and why?
• Data modelling and data architecture: how do we structure our data so that it can quickly answer most questions? How do we expose the data to other teams?

Responsibilities:

• Share customer insights, develop metrics, and explain testing results to technical and non-technical team members.
• Identify complex issues within your area, simplify them, and work with other teams to create solutions for broader company challenges.
• Promote the importance of data-driven decisions.
• Build dashboards using Tableau, Looker, or QuickSight. Experience with similar tools can substitute for Tableau.
• Develop reusable frameworks, like simulations or analysis methods, for teammates.
• Design and run experiments (like A/B tests) to evaluate product changes with a clear business and customer focus.
• Collaborate with engineering to enhance data collection for accuracy and quality.
• Track data with tools like Google Analytics.
• Build data pipelines with tools such as dbt.

Requirements:

• 3+ years of work experience involving quantitative data science/data analysis.
• Strong proficiency in SQL & Python.
• Experience using Tableau and/or Looker and/or QuickSight, etc.
• Experience in running A/B tests while applying mathematical statistics and probability theory;
• A track record of running 80-20 analysis, i.e. the ability to quickly solve problems with data in the fastest, most efficient way possible.
• Strong product sense and business acumen.
• Excellent communication skills with the ability to distill complex issues and detailed analysis into simple, structured frameworks with concrete action plans.
• Upper-Intermediate level of English.

Nice to Have

• Experience in experimentation methodologies and causal inferences
• Have experience building and producing ML models (AI).
• Deep knowledge of Snowflake, Databricks.
• Have previously used Snowflake and/or dbt.

Our Benefits:

• Professional growth: Individual development plan, mentorship, reimbursement for professional certifications and English lessons, access to professional courses in Corporate Learning Management System.
• Community: Tech community and knowledge-sharing events, English speaking club, corporate library and book club, volunteering and charity initiatives.
• Wellbeing: Medical insurance, regular medical check-ups, sport reimbursement, paid vacation and sick leave, mental health support and events.
• Work environment: Fully-equipped offices, top-notch equipment, flexible work format, activities both in-office and online, Y-bucks and access to the Yalantis store.

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