InPost

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

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SeniorZdalnie·KrakówFull-time

#454499·Dodano miesiąc temu·8

Źródło: InPost

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Tech Stack / Keywords

pyspark SQL Python DatabricksPower BITableauAzure AWS Google Cloud

Firma i stanowisko

InPost is a leading e-commerce out-of-home platform in Europe, founded in 1999 by Rafał Brzoska. The company operates nearly 60,000 Paczkomatów® and about 35,000 PUDO points across nine European countries, offering parcel delivery, courier services, and fulfillment for e-commerce partners. Their solutions emphasize cost-effective, flexible, contactless, and environmentally friendly parcel delivery.

Wymagania

Minimum 5 years of experience in data analysis, business intelligence, or related fields.
At least 3 years in strategic analyses influencing business decisions.
Experience in consumer analysis, marketing data, or mobile app data.
Practical and advanced experience (minimum 4 years) in PySpark, SQL, or Python.
High operational efficiency in a dynamic environment.
Ability to navigate complex BI stacks and quickly access relevant data sources and reports.
Higher education in quantitative or related fields such as Mathematical Methods, Mathematics, Big Data, Computer Science, Data Science, Statistics.
At least 2 years presenting analysis results and recommendations to business stakeholders at director level.
Knowledge of the Databricks platform and big data technologies.
Basic knowledge of cloud technologies like Azure, AWS, or Google Cloud.
Strong skills in structuring complex problems and data-driven conclusions.
Proactive problem identification and solution seeking.
Very good organizational skills and independence.
English language proficiency at least at B2 level.

Nice to have:

Experience with consumer segmentation and Data Science projects.
Experience creating data objects and with Data Engineering.
Experience with data visualization tools like Power BI or Tableau for dashboard creation.
Experience in e-commerce analytics.

Obowiązki

Perform advanced reporting and in-depth data analysis integrating consumer, e-commerce, and application analytics using pyspark/SQL on Databricks, and present insights and solutions.
Analyze data from multiple sources (frontend and backend) to detect trends and patterns.
Translate business requirements into analytical needs and define data models.
Independently identify areas for analysis and propose study scopes and methods, sometimes proactively before business requests.
Prepare cyclical advanced reports and visualizations for the marketing team to monitor activity effectiveness.
Conduct iterative data analysis including understanding, transforming, and aggregating data to establish key performance indicators per specific projects.
Determine data availability in the data lakehouse and identify and define necessary data structures collaboratively with the Data team; debug and report errors needing correction.
Visualize data using Power BI or collaborate on dashboard development.
Act as a consultant in analytic matters.

Benefity

Monthly credit points on the Worksmile platform redeemable for store vouchers, cinema tickets, and spa vouchers.
Subsidy for the Multisport card.
Subsidy for Luxmed medical care.
Access to GoodHabitz e-learning platform with numerous inspiring courses.
Access to eTutor language learning application.
Discounts on parcels sent via Paczkomat® devices.
Internal Pasjonaci InPost program supporting employees' sports passions.
Employment based on an employment contract (umowa o pracę).

Karta sportowa

Opieka zdrowotna

Dofinansowanie szkoleń

Kursy językowe

InPost

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