Mid-Senior Data Analyst (Tableau)

Main Responsibilities

• Create and maintain periodic Business Intelligence dashboards for non-IT end users using Tableau. Ensure typography, data visualizations, and user experience are central, clearly outlining KPIs with visual graphics.
• Convert ad-hoc inquiries into visual and verbal answers, providing clear and concise insights.
• Participate in periodic data briefing meetings across teams, facilitating knowledge sharing and collaborative problem-solving.
• Analyze applications' data to extract actionable insights and present findings to interested stakeholders.
• Take care of data quality issues, ensuring the integrity and accuracy of data used in analyses and reporting.
• Proactively evaluate the effectiveness of app features and provide insights to optimize user performance.
• Influence change in app features, UX, and overall decision-making processes in app development and purchasing flows.
• Engage with stakeholders effectively, managing their expectations and ensuring their requirements are met.
• Help shape and ensure the use of good practices in preparing data for using Tableau at the department level, fostering a culture of data-driven decision-making.
• Leading complex data projects from conception through to delivery, ensuring timely completion and alignment with business goals.

Core Requirements

• Experience: 3+ years in a role as a data analyst or BI developer.
• Tableau Proficiency: Extensive experience with heavy Tableau usage over 3+ years.
• SQL Proficiency: Strong knowledge and proficiency in SQL ANSI.
• Big Data: knowledge of effective ways to deal with big amounts of transactional data.
• Statistical Analysis: Familiarity with basic statistical analysis and its applications.
• Excellent Communication: Strong written English skills for clear and effective communication.
• Presentation Skills: Very good presentation skills, effectively communicating complex data insights to diverse audiences, including non-technical stakeholders.
• Data Analysis and Visualization: Demonstrated experience in analyzing, interpreting, and visualizing data, along with researching information and solving problems.
• Design Thinking: Proficiency in design thinking, ensuring user-centric solutions.
• Attention to Detail: High attention to detail and proactivity in all tasks.

Bonus Points For

• PySpark Experience: Proficiency in PySpark is a significant advantage.
• Tableau Certification: Possession of a Tableau certification is highly desirable.
• Leadership: Leading a small team of analysts would be considered as an advantage.

Tools You Will Use

• Tableau
• SQL
• PySpark

Salary Range

• Gross Salary 17300 - 24700 PLN/Month.