InPost

Data Analytics Consultant (m/f/n)

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SeniorZdalnie·KrakówFull-time

#471218·Dodano 15 dni temu·3

Źródło: InPost

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Tech Stack / Keywords

Python PySpark SQL Apache Spark Databricks KafkaPower BIGitLab Bash ETL/ELT

Podsumowanie oferty

Data Analytics Consultants analyze real-time data for InPost Group products across campaigns, product and customer analytics, sales performance, and logistics. The role is part of the Data & AI department and includes developing data models and visualizations using Apache Spark, Databricks, Python/PySpark, SQL, Kafka, Power BI, and GitLab.

Wymagania

Minimum 3 years of experience in an analytical role handling large volumes of data, preferably in Marketing, Logistics, Customer, or Sales domains.
Experience in data modeling and implementing complex data-driven solutions is a strong plus.
Proficiency in Python/PySpark for data analysis, SQL for data processing, and Bash scripting to manage Git repositories.
Ability to draw actionable conclusions from complex data and communicate recommendations clearly and concisely to business stakeholders.
Understanding of data warehousing, including dimensional data modeling and ETL/ELT processes.
Ability to translate business needs into data models.
Understanding of real-time data and ability to request and handle data from backend and frontend systems, including internal and external platforms.
Ability to work independently and coordinate multiple workstreams simultaneously.
Interpersonal skills and ability to collaborate with cross-functional teams.
Fluency in English, verbal and written.

Nice to have:

Ability to read or communicate in French.
Experience working with Apache Spark in Databricks.
Familiarity with cloud-based data platforms such as GCP, Azure, or AWS.
Familiarity with modern data-building tools such as Apache Airflow and DBT.
Familiarity with data visualization tools such as Power BI, Tableau, or Looker.
Knowledge of data governance principles and practices.
Ability to thrive in a highly agile, intensely iterative environment.

Obowiązki

Support stakeholders in making data-driven decisions.
Work with different InPost departments and business lines.
Gather requirements, analyze large-scale real-time data from various sources, and prepare insights and recommendations about business-critical areas and processes.
Design, develop, and extend data model layers for optimized and scalable calculations and visualizations.
Write code that meets internal standards for style, maintainability, and best practices; maintain and advocate for these standards through code reviews.
Collaborate with Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions.
Prototype and coordinate data visualizations.

InPost

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