Senior Data Analyst

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

📋 Description

• Advanced reporting and in-depth data analysis at the intersection of consumer insights, e-commerce, and application analytics (all in PySpark/SQL within Databricks), along with presenting findings and developed solutions.

• Analyzing data from multiple sources (frontend and backend) 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 of studies.

• Regularly preparing advanced reports and visualizations for the marketing team to monitor the effectiveness of ongoing activities.

• Iterative data analysis, including understanding, transforming, and aggregating data to establish key performance indicators (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 correction.

• Visualizing data using Power BI or collaborating on building dashboards.

• Acting as a consultant.

• Closely collaborating with marketing, data, and tech departments while enhancing reporting in the area of AI e-commerce (Von Halsky).

⛳️ Requirements

• A minimum of 5 years of experience in data analysis and business intelligence or related fields.

• At least 3 years of experience in strategic analyses that influence business decisions.

• Experience in consumer analysis/marketing data/mobile application data.

• Practical knowledge and advanced experience with PySpark, SQL, or Python (minimum of 4 years).

• High operational efficiency in a dynamic environment.

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

• Higher education in fields such as Quantitative and Qualitative Methods, Mathematics, Big Data, Computer Science, Data Science, Statistics, or related areas.

• At least 2 years of experience in presenting analysis results and recommendations in an understandable manner for business stakeholders at the director level.

• Familiarity with the Databricks platform and big data technologies.

• Basic knowledge of cloud technology concepts (Azure, AWS, Google Cloud).

• Ability to structure complex problems and draw data-driven conclusions.

• Proactivity in identifying issues and seeking solutions.

• Excellent organizational skills and independence in action.

• Proficiency in English at least at the B2 level.

• Experience in consumer segmentation/Data Science projects.

• Experience in creating objects/Data Engineering.

• Experience with data visualization tools (e.g., Power BI, Tableau) in the context of dashboard creation.

• Experience in e-commerce analytics.

🏝️ Benefits

• Monthly credits on the Worksmile cafeteria platform, which can be exchanged for vouchers to stores, cinema tickets, and spa vouchers.

• Subsidy for the Multisport sports card.

• Subsidy for Luxmed medical care.

• Access to the GoodHabitz e-learning platform, which offers a plethora of inspiring training courses.

• Access to the eTutor language learning application.

• Discounts on packages sent to our Paczkomat® devices.

• Internal “Passionates InPost” program that supports colleagues in developing their sports passions through regular events.

• Employment based on a contract of employment.