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

We offer:

• Flexible working format - remote, office-based or flexible

• A competitive salary and good compensation package

• Personalized career growth

• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

• Active tech communities with regular knowledge sharing

• Education reimbursement

• Memorable anniversary presents

• Corporate events and team buildings

• Other location-specific benefits