Senior Data Analyst

This is a fully remote position, open to applicants in Poland.

📋 Description

• Leading advanced reporting and in-depth data analysis at the intersection of consumer behavior, e-commerce, and application analytics using PySpark/SQL in Databricks.

• Presenting insights and developed solutions.

• Collaborating closely with marketing, data, and tech departments.

• Developing reporting in the area of AI e-commerce (Von Halsky).

• Analyzing data from multiple frontend and backend sources to identify trends and patterns.

• Translating business requirements into analytical needs and defining data models.

• Independently identifying areas for analysis and proposing the scope and methodology for research.

• Regularly preparing advanced reports and visualizations for the marketing team.

• Iteratively analyzing, transforming, and aggregating data to establish KPIs for specific projects.

• Determining data availability in the data lakehouse and identifying and defining necessary data structures in collaboration with the Data department.

• Debugging errors and reporting them for resolution.

• Visualizing data using Power BI or collaborating on dashboard development.

• Acting as a consultant.

⛳️ Requirements

• At least 5 years of experience in data analysis and business intelligence or related fields.

• A minimum of 3 years of experience in strategic analyses influencing business decisions.

• Experience in consumer analysis, marketing data, or mobile application data.

• Advanced practical knowledge of PySpark, SQL, or Python, with at least 4 years of experience.

• High operational effectiveness in a dynamic environment.

• Ability to navigate a complex BI stack and quickly access relevant data sources and reports.

• Higher education in quantitative and qualitative methods, mathematics, Big Data, computer science, Data Science, statistics, or a related field.

• A minimum of 2 years of experience presenting analysis results and recommendations to business stakeholders at the director level.

• Familiarity with the Databricks platform and big data technologies.

• Basic knowledge of cloud technologies: Azure, AWS, or Google Cloud.

• Skill in structuring complex problems and drawing data-driven conclusions.

• Proactive in identifying issues and seeking solutions.

• Excellent organizational skills and independence in action.

• Proficiency in English at least at the B2 level.

• Preferred: experience in consumer segmentation/Data Science projects.

• Preferred: experience in creating objects/Data Engineering.

• Preferred: experience with Power BI, Tableau, or other data visualization tools.

• Preferred: experience in e-commerce analytics.

🏝️ Benefits

• Monthly points top-up on the Worksmile cafeteria platform, redeemable for vouchers to stores, cinema tickets, and spa vouchers.

• Contribution towards the Multisport sports card.

• Funding for medical care with Luxmed.

• Access to the GoodHabitz e-learning platform.

• Access to the eTutor language learning application.

• Discounts on parcels sent to Paczkomat® devices.

• Internal Passionate InPost program supporting the development of sports interests.

• Employment based on a labor contract.