{"id":3872947,"url":"https://alion.io/job/cummins-placement-student-data-analytics","title":"Placement Student - Data Analytics","company":{"id":1758413,"name":"Cummins","domain":"cummins.com","url":"https://alion.io/company/cummins-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":109,"ghost_share":0,"stale_share":0.697,"repost_share":0.028,"time_to_fill_p50_days":22,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Darlington, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"MATLAB","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-06T12:13:10Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T11:40:56Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"PLACEMENT STUDENT - (Data Analytics- 12 months)\nWe are looking for an enthusiastic Placement Student - Data Analytics to join our team in the Engine Business Unit in Darlington Engine Plant. During your placement with us, you will learn how a major global organization operates, gaining the tools and exposure you will need to become an expert in the industry and power your potential!\nThis role is available to candidates who qualify for a placement year and will commence Summer of 2027\n In this role, you will make an impact in the following ways:\nAcquiring, transforming and analysing data to provide meaningful insights to a variety of stakeholders\nWorking within an area of the Data Analytics Team to make a positive difference across the department \nWork innovatively to support the development and validation of new Cummins products through the Serviceability and design review processes ensuring dashboards and documentation are updated regularly and collaborating with key stakeholders to gather data\nUse MATLAB and other software to provide advanced analysis of the performance of our products\nUse Power BI to summarise and effectively communicate analysis.\nSupporting the identification, resolution, and implementation of fixes on key product issues with OEMs\n\n To be successful in this role you will need the following: \nWe are looking for a wide range of applicants studying towards a STEM degree with critical thinking skills that are suitable for this role.\nAbility to work successfully as part of a team with experience contributing to or leading a group project.\nStrong desire to learn with knowledge of the practical application of science or engineering concepts.\nGood level of skill using Microsoft applications including Excel and PowerPoint.\nAbility to use Power BI and MATLAB - highly desirable\nAbility to code in Python - desirable\nCLOSING DATE: 18th December","description_format":"text","description_chars":1884,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Machinery","Automotive Components"],"lifecycle":[{"event":"open","at":"2026-11-06T15:13:20Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker, Graduate Trainee)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; 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