G2A

Data Analyst

Brak informacji o wynagrodzeniu

MidZdalnie·WarszawaFull-time·B2B·Umowa o pracę

#464260·Dodano 10 dni temu·2

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

SQL PythonTableau

Podsumowanie oferty

You’ll lead end-to-end analysis, experimentation, and modelling to support business and product decisions at a digital entertainment marketplace. You’ll use SQL, Python, statistical methods, and data visualization to turn insights into practical recommendations.

Wymagania

2–4 years of experience in data analytics or a similar role.
Confidence with SQL and experience working with analytical datasets.
Use of Python for data analysis.
Hands-on experience with BI and data visualization tools, such as Tableau.
Solid grounding in statistics, including hypothesis testing, regression, and working with uncertainty.
Ability to independently lead analytical topics and collaborate across teams.
Experience working with non-technical stakeholders.
Ability to apply experimentation techniques to validate product or business changes, including when a clean A/B test is not possible.
Ability to identify opportunities and solutions that improve user experience, e-commerce performance, and business results.

Nice to have:

Experience working with data that directly influences product or business decisions.
Exposure to e-commerce and commercial metrics, such as conversion, AOV, take rate, margin, churn, and CAC/LTV.
Experience mentoring junior analysts or reviewing analytical work.
Familiarity with modern data stacks or analytics engineering concepts.
A background in a quantitative field, such as statistics, econometrics, mathematics, or physics.
Experience measuring incrementality or attribution, for example in marketing, promotions, or advertising.
Experience with forecasting, demand modelling, or price sensitivity analysis.

Obowiązki

Lead analytical topics end to end, from defining the problem to delivering actionable recommendations.
Support decision-making through experiments and data validation, including defining hypotheses and success metrics and interpreting results with statistical rigor.
Analyze business performance, customer behavior, and the impact of commercial decisions to identify trends, opportunities, and risks.
Build and improve analytical models, dashboards, and reports.
Work with stakeholders to understand the reasons behind the data and translate ideas into measurable changes.
Help define, monitor, and improve key business and product metrics.
Improve and automate reporting processes where appropriate.
Ensure data quality and apply statistical methods, from sanity checks to more advanced models when needed.
Evaluate trade-offs between revenue streams and user experience, including how commercial or monetization features affect conversion and retention.

Benefity

Work resources, such as a laptop and/or phone.
Ergonomic and electronic equipment for a home office, such as a monitor, chair with back support, keyboard, and headphones.
Opportunity to take part in internal and external trainings and industry events.
Welcome pack.
Vouchers for the Motivizer platform.
Private healthcare.
MultiSport card.
Discount codes for the G2A.COM sales platform.

Szkolenia wewnętrzne

Opieka zdrowotna

Karta sportowa

Telefon

G2A

2 aktywne oferty

Zobacz wszystkie oferty

Aplikuj teraz