{"id":147408,"url":"https://alion.io/job/bosch-data-analyst-fmdiv-","title":"Data Analyst (f/m/div.)","company":{"id":132,"name":"Bosch","domain":"bosch.com","url":"https://alion.io/company/bosch","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":1023,"ghost_share":0,"stale_share":0.995,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Braga, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":57000,"period":"year","method":"role_country_seniority_unknown","sample_n":23},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-17T11:16:09Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-18T00:47:39Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.\nBosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.\nAt Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.\n As a Data Analyst for Manufacturing Technologies, you will work at the intersection of engineering, analytics, and digitalization. By transforming complex data into meaningful insights, you will help drive process improvements, support innovation projects, and enable data-driven decisions across manufacturing and development environments.\nYour contribution to something big:\nAnalyze and prepare data for impactful decisions\nCollect, consolidate, and clean data from various sources, including manufacturing systems, databases, laboratory measurements, development trials, and engineering reports.\nDevelop and maintain data preparation and transformation pipelines to ensure high-quality and reliable datasets.\nValidate data completeness, consistency, and integrity prior to analysis.\nCreate standardized datasets that support recurring engineering and operational analyses.\nGenerate insights and solve engineering challenges\nAnalyze production and development data to identify trends, anomalies, relationships, and opportunities for improvement.\nSupport troubleshooting and problem-solving activities using statistical and analytical methods.\nConduct root cause investigations based on quantitative data analysis.\nEvaluate process stability, capability, variability, and performance using statistical techniques.\nSupport process optimization initiatives through data-driven recommendations and performance monitoring.\nCreate meaningful visualizations and reporting solutions\nDesign, develop, and maintain interactive dashboards and reports using Power BI, Tableau, or similar Business Intelligence tools.\nTransform complex analytical findings into intuitive visualizations and actionable insights.\nCommunicate results effectively to both technical and non-technical stakeholders.\nContribute to the standardization of KPIs and reporting structures across projects and manufacturing technologies.\nCollaborate across multidisciplinary teams\nWork closely with Process Experts, Technology Developers, and Project Teams to understand business and engineering requirements.\nDefine, monitor, and continuously improve performance indicators for manufacturing technologies and development projects.\nEnable informed and data-driven decision making through timely analyses and insights.\nSupport development, industrialization, and continuous improvement activities across engineering teams.\nDrive automation and continuous improvement\nAutomate recurring analyses and reporting processes using Python, SQL, and Business Intelligence tools.\nIdentify opportunities to enhance existing data collection, reporting, and analytics workflows.\nPromote best practices in data analysis, visualization, and data management.\nContribute to reusable analytical solutions and standards that support manufacturing excellence and Industry 4.0 initiatives.\n What distinguishes you:\nEducation\nMaster's degree in Mathematics, Statistics, Data Analytics, Engineering, Economics, Physics, Computer Science, or a related field.\nExperience\nExperience in Data Analytics, Business Analytics, Industrial Analytics, Engineering Analytics, or a similar field.\nExperience working with large and complex datasets.\nExperience creating dashboards and reports that support business and engineering decisions.\nPractical experience using Python for data preparation, automation, and analysis.\nExperience collaborating with multidisciplinary and technical teams.\nExperience in manufacturing or industrial environments is considered an advantage.\nKnow-how\n1. Data Analytics & Statistics\nStrong understanding of statistical analysis and data interpretation.\nKnowledge of hypothesis testing, probability distributions, confidence intervals, regression analysis, and correlation analysis.\nUnderstanding of process variability, process capability, and performance measurement.\nAbility to translate engineering and business requirements into analytical solutions.\n2. Programming & Data Management\nStrong SQL skills.\nGood experience with Python for data analysis, automation, and visualization, including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn.\nExperience working with structured and semi-structured datasets.\nUnderstanding of data quality principles, data modelling concepts, and relational databases.\n3. Data Visualization\nExperience with Power BI, Tableau, or comparable BI platforms.\nAbility to create intuitive dashboards and impactful data visualizations.\nExperience presenting analytical insights to both technical and non-technical audiences.\nLanguages\nGood communication skills in English.\nWorking Style and Methods\nStructured, analytical, and detail-oriented approach to work.\nAbility to manage multiple priorities in a dynamic environment.\nProactive mindset with a passion for continuous improvement.\nAbility to work autonomously while collaborating effectively with cross-functional teams.\nStrong communication and stakeholder management skills.\nPersonality\nCurious and eager to learn.\nSolution-oriented and collaborative.\nPassionate about using data to solve real-world engineering challenges.\nMotivated to drive innovation and improve manufacturing performance.\n Work #LikeABosch includes:\nFlexible work conditions\nHybrid work system\nExchange with colleagues around the world\nHealth insurance\nMedical office (psychology and general clinic) & Social Services Office on site\nTraining opportunities (p.e., technical training, foreign languages training) & certifications\nOpportunities for career progression and continuous professional development\nAccess to great discounts in partnerships and Bosch products\nSports and health related activities\nGreat access to public transports\nFree transport from Porto\nFlexible benefits platform\nFree parking lot\nCanteen\nSuccess stories don´t just happen. They are made...\nMake it happen! We are looking forward to your application!","description_format":"text","description_chars":7207,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Health insurance","Hybrid work","Professional development"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Sensors & Transducers","Industrial Automation","Motors, Drives & Motion Control","HVAC & Refrigeration"],"lifecycle":[{"event":"open","at":"2026-08-17T11:16:09Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.266,"p_room":0.28,"age_days":60,"expected_fill_days":30,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/bosch-data-analyst-fmdiv-","json_url":"https://alion.io/job/bosch-data-analyst-fmdiv-.json","meta":{"generated_at":"2026-10-18T00:57:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1587,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":132},"rest":"https://alion.io/mcp/rest/get_company?id=132"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbosch-data-analyst-fmdiv-"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbosch-data-analyst-fmdiv-"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbosch-data-analyst-fmdiv-"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bosch-data-analyst-fmdiv-\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbosch-data-analyst-fmdiv-"}]}