Mid-Senior Data Analyst (Tableau)
Warsaw
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Hybrid
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.
Data Handling
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After you apply
Our recruitment process differs depending on specific positions and/or hiring teams. However, it tends to include the following three main stages and usually doesn’t exceed any more than five steps.
Step 1.
Get to know
The goal of the first step is to get to know each other better. So during that, we talk more about the role and ask you to share your story.
Step 2.
Technical evaluation
We test each applicant's technical knowledge and problem-solving ability through various assessments.
Step 3.
Meet the team
The final step is for you to meet the team, discuss your task, and dig deeper into the role you’re applying for. If everyone’s happy with the result, the closing step will be the offer.
We Offer
We Offer
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