Data Analytics Consultant (m/f/n)

InPost UK; Kraków; On-site; PLN 140,000 - 240,000; Full time

Job summary

InPost Group is seeking a Data Analytics Consultant to analyze real-time data from diverse systems and collaborate with multiple teams to deliver insights that drive business decisions. You will work with Databricks, Python, PySpark, SQL and visualization tools to build scalable data models and informative dashboards.

The role requires 3+ years in analytics, strong data modeling skills, and fluent English. A dynamic Data & AI team environment offers opportunities to grow with expanding data

Qualifications

• Min 3 years of experience in analytical roles handling large data volumes.
• 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.
• Ability to pull actionable conclusions from data and communicate recommendations clearly to stakeholders.
• Solid understanding of data warehousing concepts, including dimensional modeling and ETL/ELT processes.
• Ability to translate business needs into data models.
• Strong understanding of real-time data across backend and frontend systems.
• Self-motivated, able to work independently and coordinate multiple workstreams.
• Strong interpersonal skills for cross-functional collaboration.
• Fluency in English: verbal and written.

Responsibilities

• Closely support stakeholders in making data-driven decisions.
• Work with InPost departments and business lines.
• Gather requirements and harness real-time data to prepare insights and recommendations.
• Design and extend data model layers for scalable calculations and visualizations.
• Craft code adhering to internal standards for a high-scale data environment.
• Collaborate with Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions.
• Prototype and coordinate data visualizations.

Skills

Data analysis

Data modeling

Python/PySpark

SQL

Bash scripting

ETL/ELT

Data warehousing

Real-time data

Business communication

English fluency

Tools

Databricks

Airflow

DBT

PowerBI

Tableau

Looker

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.

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 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.

Additional Information

We offer B2B type of contract

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