(Senior) Data Analyst

Stack

Responsibilities

• ▹Advanced reporting and in-depth data analysis at the intersection of consumer, e-commerce and app analytics (all in PySpark/SQL on Databricks), and presenting findings and solutions
• ▹Analysing data from multiple sources (frontend and backend) to detect trends and patterns
• ▹Translating business requirements into analytical needs and defining data models
• ▹Independently identifying areas for analysis and proposing the scope and method of the study (sometimes before the business has voiced the need)
• ▹Regularly preparing advanced reports and visualisations for the marketing team to monitor campaign effectiveness
• ▹Iterative data analysis covering understanding, transforming and aggregating data to define KPIs per project
• ▹Determining data availability in the data lakehouse, identifying and defining the required data structures together with the Data team, debugging errors and reporting them for fixing
• ▹Data visualisation with Power BI or collaborating on building dashboards

Requirements

• ▹At least 5 years of experience in data analysis and business intelligence or related areas
• ▹At least 3 years of experience in strategic analyses that influence business decisions
• ▹Experience in consumer, marketing or mobile app data analysis
• ▹Practical, advanced knowledge of PySpark, SQL or Python (at least 4 years)
• ▹High operational efficiency in a dynamic environment
• ▹Ability to navigate a complex BI stack and quickly find the right data sources and reports
• ▹Higher education in a field such as quantitative and qualitative methods, mathematics, big data, computer science, data science, statistics or similar
• ▹At least 2 years of experience presenting analysis results and recommendations in a way that is clear to business stakeholders at director level
• ▹Knowledge of the Databricks platform and big data technologies
• ▹At least basic knowledge of cloud technologies (Azure, AWS, Google Cloud)
• ▹Ability to structure complex problems and draw data-driven conclusions
• ▹Proactivity in identifying problems and finding solutions
• ▹Very good work organisation and independence
• ▹English at B2 level or above

Nice to have

• ▹Experience in consumer segmentation and data science projects
• ▹Experience in building data objects and data engineering
• ▹Experience with data visualisation tools (e.g. Power BI, Tableau) for building dashboards
• ▹Experience in e-commerce analytics

Soft skills

What we offer

• ▹Monthly points top-up on the Worksmile cafeteria platform (redeemable for shop vouchers, cinema tickets, spa vouchers)
• ▹Multisport card subsidy
• ▹Luxmed private healthcare subsidy
• ▹Access to the GoodHabitz e-learning platform
• ▹Access to the eTutor language learning app
• ▹Discounts on parcels sent through Paczkomat® machines
• ▹Internal Pasjonaci InPost programme supporting colleagues' sporting passions
• ▹Employment contract (umowa o pracę)

About the company

InPost revolutionised parcel delivery in Polish e-commerce and is now one of Europe's leading out-of-home e-commerce platforms. Founded in 1999, it delivers through a network of nearly 60,000 Paczkomat® parcel lockers and close to 35,000 pick-up and drop-off points in nine European countries, and also offers to-door courier and fulfilment services.