Data Analytics Consultant (m/f/n)

InPost; Kraków; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

B2B contract

Job summary

InPost is expanding its Data & AI team in Kraków and seeking a Data Analytics Consultant to help stakeholders make data-driven decisions. You will gather requirements, work with multiple departments, and transform large-scale real-time data into actionable insights.

Join a fast-growing, agile environment and collaborate with Data Engineers, Data Scientists, and Business Analysts to design scalable data models, dashboards, and visualizations using Python, PySpark, SQL, and Power BI.

Qualifications

• 3+ years of experience in an analytical role handling large data sets.
• Strong proficiency in Python/PySpark and SQL.
• Experience with data modeling and ETL/ELT processes.
• Ability to translate business needs into data models and communicate outcomes clearly.

Responsibilities

• Closely support stakeholders in making data-driven decisions.
• Work with multiple InPost departments and business lines.
• Gather requirements, harness large-scale, real-time data, analyze it and prepare insights and recommendations.
• Collaborate with cross-functional teams to deliver integrated data solutions.

Skills

Python/PySpark

SQL

Real-time data

Data modeling

Bash scripting

Data warehousing

English fluency

Tools

Databricks

Python

SQL

Power BI

GitLab

Job description

Company 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.

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.

Job Description

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.

Qualifications

Which skills should you bring to the pitch:

• 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 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.

Additional Information

We offer B2B type of contract