{"id":184839,"url":"https://alion.io/job/inpost-data-analytics-consultant-mfn","title":"Data Analytics Consultant (m/f/n)","company":{"id":3343,"name":"InPost","domain":"inpost.eu","url":"https://alion.io/company/inpost","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":81000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"closed","first_seen_at":"2026-09-01T10:58:12Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-20T04:54:50Z","board_verified":false,"closed_at":"2026-10-20T04:54:50Z","days_open":48,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":48},"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.\nThe 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.\nTechnologies, you will encounter in your daily work: Apache Spark in Databricks, PythonPySpark, SQL, Kafka, Power BI, GitLab.\nWhy is this role always open?\nBecause 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.\n On a daily basis you will:\nClosely support stakeholders in making data-driven decisions.\nWork with different InPost departments and business lines.\nGather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendation about business critical areas and processes.\nDesign, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes.\nCraft 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.\nCollaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions.\nPrototype and coordinate data visualizations.\n Which skills should you bring to the pitch:\n 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).\nExperience indata modeling and implementing complex data-driven solutions is a strong plus.\nStrong proficiency in Python/PySpark for data analysis, SQL for data processing, Bash scripting to manage Git repositories.\nProven ability to pull insightful and actionable conclusions from complex data and communicate recommendations to business stakeholders clearly and concisely.\nComprehensive understanding of the technical aspects of data warehousing, including dimensional data modeling and ETL/ELT processes.\nAbility to translate business needs into data models.\nStrong understanding of real-time data: ability to request and handle data from both backend and frontend systems, including internal and external platforms.\nSelf-motivated and self-managing, with the ability to work independently and coordinate multiple workstreams simultaneously.\nStrong interpersonal skills with the ability to collaborate effectively with cross-functional teams\nFluency in English: verbal and written.\nIt would be awesome if you have:\n Ability to read or communicate in French.\nExperience in working with Apache Spark in Databricks.\nFamiliarity with cloud-based data platforms (e.g. GCP, Azure, AWS).\nFamiliarity with modern data building tools like Apache Airflow, DBT.\nFamiliarity with data visualization tools such as PowerBI/Tableau/Looker.\nKnowledge of data governance principles and practices.\nAbility to thrive in a highly agile, intensely iterative environment.\n We offer B2B type of 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