Senior Data Analytics Consultant

InPost Group

Data Analytics Consultant responsible for data analysis at InPost, supporting stakeholders with data-driven insights. Working with diverse datasets across logistics and e-commerce.

Posted 6/3/2026full-timeRemote • 🇵🇱 PolandSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSparkSQLTableau

About the role

Key responsibilities & impact

Closely support stakeholders in making data-driven decisions
Work with different InPost departments and business lines
Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendations about business critical areas and processes
Design, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes
Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment
Maintain and advocate for these standards through code reviews
Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions
Prototype and coordinate data visualizations

Requirements

What you’ll need

Min 3 years of experience in an analytical role handling vast volumes of data in (preferably in domains such as Marketing, Logistics, Customer or Sales)
Experience in data modeling and implementing complex data-driven solutions is a strong plus
Strong proficiency in Python/PySpark for data analysis , SQL for data processing , Bash scripting to manage Git repositories
Proven ability to pull insightful and actionable conclusions from complex data and communicate recommendations to business stakeholders clearly and concisely
Comprehensive understanding of the technical aspects of data warehousing , including dimensional data modeling and ETL/ELT processes
Ability to translate business needs into data models
Strong understanding of real-time data: ability to request and handle data from both backend and frontend systems, including internal and external platforms
Self-motivated and self-managing, with the ability to work independently and mange multiple tasks simultaneously
Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams
Fluency in English : verbal and written
Ability to read or communicate in French (if you have it)
Experience in working with Apache Spark in Databricks (if you have it)
Familiarity with cloud-based data platforms (e.g. GCP, Azure, AWS)
Familiarity with modern data building tools like Apache Airflow, DBT
Familiarity with data visualization tools such as PowerBI/Tableau/Looker
Knowledge of data governance principles and practices
Ability to thrive in a highly agile, intensely iterative environment

Benefits

Comp & perks

Employees can work remotely

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonPySparkSQLBash scriptingdata modelingETLELTdata analysisdata visualizationdata governance

Soft Skills

data-driven decision makingcommunicationcollaborationself-motivationtime managementinterpersonal skillsindependenceanalytical thinkingproblem solvingagility