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описание
InPost provides out-of-home e-commerce delivery services through a network of nearly 60,000 parcel lockers and approximately 35,000 pickup and drop-off points across nine European countries. The company also offers door-to-door courier delivery and fulfillment services for e-commerce partners.
задачи
Report and conduct in-depth analyses of marketing data in Databricks, presenting findings and developed solutions;
Collect and analyze data from various sources to identify trends and patterns;
Translate business requirements into analytical needs and define data models;
Determine data availability in the data lakehouse and identify and define required data structures in cooperation with the Data department;
Automate recurring reporting;
Iteratively analyze, understand, transform, and aggregate data to establish key performance indicators;
Regularly review analytical and reporting tools, identify improvement opportunities, and increase task efficiency;
Visualize data using Power BI or collaborate on dashboard development.
требования
At least 2 years of experience in data analysis, business intelligence, or related areas;
Higher education in Quantitative and Qualitative Methods, Mathematics, Big Data, Computer Science, Data Science, Statistics, or a related field;
Practical knowledge of PySpark, SQL, or Python at least at an upper-intermediate level;
Basic knowledge of Databricks and big data technologies;
Basic knowledge of cloud technologies such as Azure, AWS, or Google Cloud;
Ability to structure complex problems and draw data-driven conclusions;
Ability to present analytical results and recommendations clearly to business stakeholders;
Proactivity in identifying problems and finding solutions;
Very good work organization and independence;
English at least at B1 level;
Nice to have: experience with data visualization tools such as Power BI or Tableau for dashboard creation, experience in marketing, product, or customer analytics.