Data Analyst

Quick Facts

• Role: Data Analyst

• Focus: Analytics ownership end to end—problem definition, analysis/modeling, experimentation/validation, and delivering recommendations

Description

As a Data Analyst, you’ll lead analytical topics end to end: understand the business/product problem, analyze data, run experiments and validation, build models and dashboards, and communicate clear recommendations that support key decisions. You’ll use SQL, Python, statistical methods, experimentation, and data visualization to turn insights into measurable business impact, while working closely with stakeholders to translate “why” into measurable change.

Responsibilities

• Lead analytical topics end to end, from problem definition to actionable recommendations

• Support decision-making through experiments and data validation (hypotheses, success metrics, interpretation)

• Analyze business performance, customer behavior, and impact of commercial decisions

• Build and improve analytical models, dashboards, and reports

• Collaborate with stakeholders to understand underlying drivers behind the data

• Define, monitor, and improve key business and product metrics

• Improve and automate reporting processes where it makes sense

• Ensure data quality and apply statistical methods pragmatically

• Evaluate trade-offs between revenue streams and user experience (e.g., conversion and retention)

Requirements

• 2–4 years of experience in data analytics or a similar role

• Confident with SQL and analytical datasets

• Use Python for data analysis

• Hands-on experience with BI and data visualization tools (e.g., Tableau)

• Solid grounding in statistics: 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 changes (including cases where clean A/B tests aren’t possible)

• Don’t only produce reports—identify opportunities and solutions that improve user experience and business results

Benefits

• Hybrid work model (office or remote)

• Necessary work equipment provided

• Ergonomic/electronic home office equipment support

• Opportunity to realize new ideas

• Training and development support (internal and external)

• Support for grassroots initiatives and charity events

• Private healthcare

• MultiSport card

• Access to internal/external trainings and industry events

• Company benefits including a welcome pack, Motivizer vouchers, and discount codes on the G2A.COM platform