(Senior) Data Analyst (m/f/n)

InPost

4d

About The Position

InPost has revolutionized parcel delivery in e-commerce in Poland and is now one of Europe's leading out-of-home e-commerce platforms. Founded in 1999 by Rafał Brzoska, the company offers delivery services through a network of nearly 60,000 Paczkomaty® lockers and close to 35,000 pick-up and drop-off points (PUDO) in nine European countries. Additionally, InPost provides courier services to the door and fulfillment for e-commerce partners. InPost's Paczkomaty offer consumers a cheaper, more flexible, and convenient delivery method that is also environmentally friendly and contactless.

Your activities in this role will focus on consumer and marketing analyses, meaning you will have a direct impact on our strategies and campaign effectiveness. A key element will be close cooperation with the marketing, data, and tech departments, as well as developing reporting in the area of e-commerce AI (Von Halsky).

Requirements

• Minimum 5 years of experience in data analysis and business intelligence or related areas.
• Minimum 3 years of experience in strategic analyses influencing business decisions.
• Experience in consumer analysis/marketing data/mobile application data.
• Practical knowledge and experience in PySpark, SQL, or Python at an advanced level (min. 4 years).
• High operational efficiency in a dynamic environment.
• Ability to navigate a complex BI stack and quickly access the right data sources and reports.
• Higher education in fields such as: Quantitative and Qualitative Methods, Mathematics, Big Data, Computer Science, Data Science, Statistics, and related.
• Minimum 2 years of experience in presenting analysis results and recommendations in a way understandable to business stakeholders at the director level.
• Knowledge of the Databricks platform and big data technologies.
• Minimum basic knowledge of cloud technologies (Azure, AWS, Google Cloud).
• Ability to structure complex problems and draw data-based conclusions.
• Proactivity in identifying problems and seeking solutions.
• Very good work organization and independence in action.
• Knowledge of English at least at B2 level.

Nice To Haves

• 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 creating dashboards.

Responsibilities

• Advanced reporting and in-depth data analysis at the intersection of consumer, e-commerce, and application analytics (all in PySpark/SQL in Databricks), and presenting conclusions 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 research (sometimes before the need is formulated by the business).
• Periodically 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) per specific project.
• Determining data availability in our data lakehouse and identifying and defining necessary data structures in cooperation with the Data department, debugging errors, and reporting them for correction.
• Data visualization using Power BI or collaboration in building dashboards.
• Acting as a consultant.

Benefits

• Monthly top-up of points on the Worksmile cafeteria platform - these points can be exchanged for store vouchers, cinema tickets, spa vouchers.
• Subsidy for the Multisport sports card.
• Subsidy for Luxmed medical care.
• Access to the GoodHabitz e-learning platform, which contains many inspiring training courses.
• Access to the eTutor foreign language learning application.
• Discounts on parcels sent to our Paczkomat® devices.
• Internal program Pasjonaci InPost, which takes place cyclically to support employees in developing their sports passions.
• Employment based on an employment contract.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior