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 (Senior) 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, Google BigQuery, DBT.
Job DescriptionOn 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 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 simultenously.
- 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.
Skills Required
- Minimum 3 years experience in an analytical role handling large volumes of data
- Strong proficiency in Python/PySpark for data analysis
- SQL for data processing
- Bash scripting to manage Git repositories
- Proven ability to derive actionable insights and communicate recommendations to stakeholders
- Comprehensive understanding of technical aspects of data warehousing, including dimensional modeling and ETL/ELT
- Ability to translate business needs into data models
- Strong understanding of real-time data and handling data from backend and frontend systems
- Self-motivated and able to manage multiple tasks independently
- Strong interpersonal skills and ability to collaborate with cross-functional teams
- Fluency in English, verbal and written
- Experience in data modeling and implementing complex data-driven solutions
- Ability to read or communicate in French
- Experience working with Apache Spark in Databricks
- Familiarity with cloud-based data platforms (GCP, Azure, AWS)
- Familiarity with modern data building tools like Apache Airflow and DBT
- Familiarity with data visualization tools such as Power BI, Tableau, or Looker
- Knowledge of data governance principles and practices
What We Do
InPost is the most successful operator of automated parcel lockers in Europe and also the one and only company in the world that is both a heavy operational user of APM machines as well as their manufacturer. InPost Parcel Lockers revolutionized the e-commerce delivery by providing a convenient way to send, collect and return parcels whenever the customer chooses, through a network of conveniently located and easy to use terminals.It is important for us to protect your personal data, our privacy policy can be found under the link: https://inpost.pl/ochrona-danych-osobowych
