Middle Data Analyst (#3683)

We are seeking a for a Middle Data Analyst in Poland with strong expertise in Tableau and a passion for turning data into actionable insights.

In this role, you will lead the development of advanced visual analytics, collaborate with stakeholders to understand business needs, and help shape data-driven decision-making across the organization.

Responsibilities:

• Develop and maintain dashboards and reports using Tableau to support key business functions
• Translate complex business questions into analytical solutions
• Work closely with stakeholders to gather requirements, understand KPIs, and deliver meaningful insights
• Use SQL to extract, transform, and analyze data from various sources
• Present findings in a clear, concise, and impactful way to both technical and non-technical audiences
• Continuously improve reporting performance and usability through iteration and feedback

Requirements:

• 4+ years of experience in analytics, business intelligence, or data visualization roles
• Python skills for data processing (at least 1 year of experience) 
• Advanced Tableau skills (dashboard development, calculated fields, LOD expressions, performance optimization)
• Strong SQL proficiency for data querying and preparation
• Proven ability to derive insights from data and explain them effectively
• Solid understanding of data modeling, joins, and ETL principles
• Strong analytical thinking and attention to detail
• Experience working with cross-functional teams and translating business requirements into data deliverables

Must-Have:

• Expert-level Tableau development experience (at least 2+ years of experience)
• Hands-on experience creating scalable, interactive dashboards for enterprise use
• Advanced SQL skills applied to analytical/reporting contexts
• Ability to work independently and proactively in a data-driven environment

Nice-to-Have:

• Experience with additional BI tools (Power BI, Looker, etc.)
• Knowledge of modern data warehouses (Snowflake, BigQuery)
• Familiarity with dbt or Python for data manipulation
• Exposure to A/B testing, experimentation frameworks, or product analytics
• Understanding of data visualization best practices and UX principles