As a Senior Data Analytics Consultant you will be responsible for analyzing vast volumes of real-time data from diverse systems, including campaigns data, product analytics, user communication and journey, and similar topics relative to InPost Group products. This role spans across Poland and extends to 7 international markets, offering a unique opportunity to impact our global operations significantly. We offer remote work.

Technologies, you will encounter in your daily work: Apache Spark in Databricks, Python-PySpark, SQL, kafka, Power BI, GitLab, Google BigQuery.

On a daily basis you will:

closely support stakeholders in making data-driven decisions

work with Marketing department on loyalty program and with our new flagship products as: InPost Pay and InPost Fresh

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:

✅ 4 years of experience in an analytical role handling vast volumes of data, preferably in Marketing, Product analytics and User analytics areas

✅ 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

✅ familiarity with marketing use cases and experience in product or customer analytics

✅ experience in A/B testing

✅ 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

✅ fluent in English AND Polish: verbal and written

It would be awesome if you had:

✔ experience in working with Apache Spark in Databricks

✔ familiarity with cloud-based data platforms (e.g. GCP, Azure, AWS). GCP is a big plus

✔ 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

✔ positive and solution-oriented mindset

What we offer:

work in an innovative technology company with an international reach, which is a leader in the logistics industry in Poland

opportunities to expand your skills and acquire new competencies

partnership-based collaboration, which is our greatest value

cafeteria system with a selection of benefits that you can choose from (e.g., Multisport, medical care, shopping vouchers, event tickets, and much more)

e-learning platform with training in the form of videos, magazines, tasks, and quizzes

referral program

the opportunity to participate in employee initiatives, such as InPost InHelp volunteering, Szlachetna Paczka, or sports events (e.g., relay races)