Data Analytics Consultant (m/f/n)

InPost; Województwo małopolskie; On-site; PLN 90,000 - 150,000; Full time

Job summary

InPost Group is expanding its Data & AI team and seeking Data Analytics Consultants to analyze large-scale real-time data from campaigns, product, and logistics. You will design scalable data models, implement ETL/ELT processes, and craft insights for stakeholders across departments using Databricks, PySpark, SQL, and Power BI.

You will collaborate with Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions, while maintaining coding standards and best

Qualifications

• 3+ years in an analytical role handling large data volumes.
• Experience in data modeling and implementing data-driven solutions is a plus.
• Strong proficiency in Python/PySpark, SQL, and Bash for data processing and automation.
• Fluency in English for communication with stakeholders.

Responsibilities

• Closely support stakeholders in making data-driven decisions.
• Collaborate with cross-functional teams to deliver data insights.
• Gather requirements and analyze real-time data from diverse sources.
• Design and extend data models to optimize analytics outcomes.
• Write clean code that adheres to internal standards and reviews.
• Prototype and coordinate data visualizations for business impact.
• Translate business needs into scalable data solutions.

Skills

3+ years analytics

data modeling

Python PySpark

SQL

Bash scripting

real-time data

stakeholder communication

English fluency

Tools

Databricks

Power BI

Airflow

DBT

Cloud platforms

Job description

InPost Group is an innovative European out-of-home deliveries company, revolutionizing the way parcels are delivered to customers.With operations across several countries, our network of intelligent lockers (Paczkomat®) provides customers with a fast, convenient, and secure delivery option.Our mission is to provide best-in-class user experience for merchants and consumers. \"Simplify everything\" – redefining e-commerce logistics. We work by innovating the market with constant technological research and with meticulous attention to the customer.

The Data & AI department is seeking Data Analytics Consultants to join our Team.In this role, you will be responsible for analyzing vast volumes of real-time data from diverse systems, including campaigns data, product and customer analytics, sales performance, logistics processes, and similar topics relative to InPost Group products.

Technologies, you will encounter in your daily work:Apache Spark in Databricks, Python\PySpark, SQL, Kafka, Power BI, GitLab.

Why is this role always open?

Because our growth doesn't slow down! This is an ongoing recruitment process supported by multiple active openings across our teams. As our products and business continue to scale, we're constantly looking for talented people who want to grow with us.

On a daily basis you will:

• 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 recommendation 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.

Which skills should you bring to the pitch:

• Min 3 years of experience in an analytical rolehandling vast volumes of data in (preferably in domains such as Marketing, Logistics, Customer or Sales).
• Experience indata modelingandimplementing complex data-driven solutionsis a strong plus.
• Strongproficiency in Python/PySpark for data analysis,SQL for data processing,Bash scriptingto manage Git repositories.
• Proven ability to pull insightful and actionable conclusions from complex data and communicaterecommendations to business stakeholders clearly and concisely.
• Comprehensiveunderstanding of the technical aspects of data warehousing, including dimensional data modeling andETL/ELT processes.
• Ability to translate business needs into data models.
• Strongunderstanding 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 coordinate multiple workstreams simultaneously.
• Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams
• Fluency in English: verbal and written.

It would be awesome if you have:

• Ability to read or communicate in French.
• Experience in working with Apache Spark in Databricks.
• 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.

We offer B2B type of contract