{"id":1862643,"url":"https://alion.io/job/pmx-group-data-analyst-mfx","title":"Data Analyst (m/f/x)","company":{"id":3894087,"name":"pmX Group","domain":"pmx-group.com","url":"https://alion.io/company/pmx-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"B","score":77,"open_postings":14,"ghost_share":0,"stale_share":0.929,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Birmingham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":105000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":838},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false}],"status":"live","first_seen_at":"2026-03-26T16:24:54Z","employer_posted_date":"2026-03-26","last_verified_at":"2026-10-11T17:27:16Z","board_verified":true,"closed_at":null,"days_open":199,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":198},"description":"Your mission\nAt pmX Adah, our mission is to turn complexity into clarity.\nWe help organizations unlock the full potential of their operations by combining data, digital tools, and real-world execution expertise. Our focus is not just analysis, but impact, enabling better decisions, stronger processes, and measurable results across supply chain, quality, and IT.\nIn this role, you will directly contribute to transforming raw data into actionable insights that influence performance and strategic direction, particularly within a high-impact automotive environment.\nYour profile\nYou are someone who enjoys working with data but also understands the business behind it.\nYou don’t just build dashboards for the sake of it, you want to understand what the data is telling and how it can drive better decisions.\nBachelor’s degree in Computer Science, Engineering, Data Science, or a related field\nFirst experience (internship or up to ~2 years) in data analysis, data science, or statistics\nStrong skills in Python (Pandas, NumPy, SciPy) and working with data pipelines\nSolid understanding of databases, ETL/ELT processes, and data modeling\nExperience with Power BI or similar visualization tools\nAdvanced Excel skills\nFamiliarity with cloud environments (preferably Azure)\nBasic understanding of machine learning concepts and modern analytics approaches\nInterest or exposure to LLMs / AI tools is a plus\nWhat really matters to us:\nYou are curious and ask “why” behind the numbers\nYou can translate complex data into something others can actually use\nYou are comfortable working across teams, not just behind a screen\nYou take ownership and like to build things that last\nWhy us?\nBecause we are not a typical consulting company.\nReal impact, not slidesYou will work on live systems, real data, and decisions that matter.\n\nClose to the businessDirect collaboration with stakeholders across engineering, sales, and quality, not isolated analytics work.\n\nGrowth through responsibilityEarly ownership of tools, dashboards, and analytical models that drive decision-making.\n\nModern tech stackExposure to Power BI, Azure, Python, and advanced analytics including predictive modeling and AI.\n\nPeople-first cultureWe invest in development, whether through certifications, training programs, or hands-on project experience.\n\n Long-term perspectiveWe build sustainable solutions - 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