{"schemaVersion":"jobsearcher.job.v1","id":"faa9d771e3b00dae3bd6a674","url":"https://jobsearcher.com/jobs/faa9d771e3b00dae3bd6a674","canonicalUrl":"https://jobsearcher.com/jobs/faa9d771e3b00dae3bd6a674","title":"Implementation Analyst/engineer","description":"Job Info Job Identification 119731\r\nJob Category Engineering\r\nPosting Date 09/30/2026, 04:10 PM\r\nLocations One Misco Drive, Whitehall, MI, 49461-1799, US (On-site)\r\nJob Schedule Full time\r\nLinkedIn Recruiter Tag #LI-NR1\r\nExport-Controlled Data This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items\r\nCurrency Code US Dollar\r\n, Responsibilities As an Analyst Engineer at the Howmet Research Center, you will join a team of other Analyst Engineers and Data Scientists. This team is part of a multidisciplinary R&D group responsible for advancing the state-of-the-art in aerospace manufacturing at our casting, alloy, core and rings manufacturing facilities. You are a great fit for this team if you have the innate curiosity necessary to learn new processes, meet new people, and are persistently detail-oriented with a quality mindset. If you enjoy matching complex physical processes to corresponding data across multiple data sources, and transforming data into reliable, documented datasets for use in machine learning, reporting, and visualization tools, we would love to talk with you! Engineering data super-users looking to transition to a data field are welcome.\r\nAs an Analyst Engineer, a typical project requires you to:\r\nInitiate working with manufacturing plant personnel to understand the detailed manufacturing process and data collection user interfaces\r\nInitiate working with corporate and local IT to understand the data storage and sources that correlate to plant processes, and the most efficient way to query them\r\nQuery multiple data sources and join the data together to accurately represent the process\r\nExplore the data to identify edge cases, data cleaning requirements, and bias - using statistics as necessary\r\nDown-select, augment, and clean the dataset\r\nIterate the above steps to generate a representative and reliable dataset, checking your own work and being able to explain it to others at multiple levels of the organization\r\nCollaborate with Data Scientists to understand model input requirements\r\nTransform the data to meet machine learning model input requirements\r\nProvide post-modeling functions to translate model results to process-relatable values\r\nActively participate in leveling up proof-of-concept code to productionized scripts\r\nDocument projects in Power Point and reusable code, storing work in a revision-controlled system\r\n, Qualifications Basic Qualifications\r\nBachelor's Degree in Engineering is required\r\nAbility to demonstrate basic SQL querying skills\r\n5+ years experience in a manufacturing environment, with functional knowledge across multiple departments and domains (transactions, finance, process, product) is required\r\nDemonstrated ability to transform data with a programming language\r\nDemonstrated project management skills\r\nExperience with an engineering data tool: SAS, Minitab, JMP, Advanced MS Excel\r\nFamiliarity with Six Sigma methodology or intermediate statistics\r\nMicrosoft Office skills (Word, Excel, Power Point, Visio)\r\nStrong written and verbal communication skills\r\nDemonstrated ability to work effectively in both self-directed and collaborative matrixed team environments\r\nThis position may require travel up to 25%\r\nEmployees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.\r\nThis position entails access to export controlled items and employment offers are conditioned upon an applicants ability to lawfully obtain access to such items.\r\nPreferred Qualifications\r\nDemonstrated ability using python for data transformation, analysis, and visualization\r\nIntermediate-to-Advanced SQL querying knowledge (window functions, pivots, etc.)\r\nAzure Data Lake and Databricks experience\r\nPower BI report development experience\r\nFamiliarity with AVEVA PI Asset Framework\r\nFamiliarity with Git revision control\r\nAn unquenchable desire to continuously learn\r\n, About Us Compensation and Benefits:\r\nIf a pay range is identified for this job, it is based on a good faith estimate at the time of this posting. Actual compensation is subject to variation due to factors such as education, experience, skillset, market/business considerations, and/or location.\r\nHowmet Aerospace offers a competitive benefits package to support the health, financial well-being, and professional growth of our employees. Benefits include:\r\nComprehensive medical, prescription, dental, and vision benefits coverage, including FSA and HSA account options\r\nPre-tax and Roth 401(k) retirement savings plans offering employer matching funds and a separate employer retirement contribution\r\nPaid holidays and vacation time (eligibility, accrual, and usage are discretionary and governed by applicable policies)\r\nPaid parental leave and adoption assistance programs\r\nLife insurance and disability coverage plans\r\nOptional coverage plans for auto, home, legal, identity theft, and pet insurance\r\nTuition Assistance Program and ongoing professional development opportunities\r\nEmployee Assistance Program (EAP)\r\nOur Story\r\nHowmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $8.3 Billion in revenue in 2025, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers' success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2025 Environmental Social and Governance report at . Follow: LinkedIn , Twitter , Instagram , Facebook , and YouTube .\r\nEqual Opportunity Employer\r\nHowmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.\r\nIf you need assistance to complete your application due to a disability, please email: TalentAcquisitionCoE_Howmet@howmet.com\r\n, About the Team The Howmet engines business produces world-class aerospace engine components, including investment castings, fasteners, rings and forgings. Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high performance parts enable the next generation of quieter, cleaner and more fuel-efficient aerospace engines. Able to supply more than 90% of structural and rotating aerospace engine components.","company":"Howmet","rawCompany":"howmet","city":"Whitehall","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-10-28T14:27:45.041Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"17-2112.00","title":"Industrial Engineers","slug":"industrial-engineers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"336411","title":"Aircraft Manufacturing","slug":"aircraft-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Implementation Analyst/engineer","description":"Job Info Job Identification 119731\r\nJob Category Engineering\r\nPosting Date 09/30/2026, 04:10 PM\r\nLocations One Misco Drive, Whitehall, MI, 49461-1799, US (On-site)\r\nJob Schedule Full time\r\nLinkedIn Recruiter Tag #LI-NR1\r\nExport-Controlled Data This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items\r\nCurrency Code US Dollar\r\n, Responsibilities As an Analyst Engineer at the Howmet Research Center, you will join a team of other Analyst Engineers and Data Scientists. This team is part of a multidisciplinary R&D group responsible for advancing the state-of-the-art in aerospace manufacturing at our casting, alloy, core and rings manufacturing facilities. You are a great fit for this team if you have the innate curiosity necessary to learn new processes, meet new people, and are persistently detail-oriented with a quality mindset. If you enjoy matching complex physical processes to corresponding data across multiple data sources, and transforming data into reliable, documented datasets for use in machine learning, reporting, and visualization tools, we would love to talk with you! Engineering data super-users looking to transition to a data field are welcome.\r\nAs an Analyst Engineer, a typical project requires you to:\r\nInitiate working with manufacturing plant personnel to understand the detailed manufacturing process and data collection user interfaces\r\nInitiate working with corporate and local IT to understand the data storage and sources that correlate to plant processes, and the most efficient way to query them\r\nQuery multiple data sources and join the data together to accurately represent the process\r\nExplore the data to identify edge cases, data cleaning requirements, and bias - using statistics as necessary\r\nDown-select, augment, and clean the dataset\r\nIterate the above steps to generate a representative and reliable dataset, checking your own work and being able to explain it to others at multiple levels of the organization\r\nCollaborate with Data Scientists to understand model input requirements\r\nTransform the data to meet machine learning model input requirements\r\nProvide post-modeling functions to translate model results to process-relatable values\r\nActively participate in leveling up proof-of-concept code to productionized scripts\r\nDocument projects in Power Point and reusable code, storing work in a revision-controlled system\r\n, Qualifications Basic Qualifications\r\nBachelor's Degree in Engineering is required\r\nAbility to demonstrate basic SQL querying skills\r\n5+ years experience in a manufacturing environment, with functional knowledge across multiple departments and domains (transactions, finance, process, product) is required\r\nDemonstrated ability to transform data with a programming language\r\nDemonstrated project management skills\r\nExperience with an engineering data tool: SAS, Minitab, JMP, Advanced MS Excel\r\nFamiliarity with Six Sigma methodology or intermediate statistics\r\nMicrosoft Office skills (Word, Excel, Power Point, Visio)\r\nStrong written and verbal communication skills\r\nDemonstrated ability to work effectively in both self-directed and collaborative matrixed team environments\r\nThis position may require travel up to 25%\r\nEmployees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.\r\nThis position entails access to export controlled items and employment offers are conditioned upon an applicants ability to lawfully obtain access to such items.\r\nPreferred Qualifications\r\nDemonstrated ability using python for data transformation, analysis, and visualization\r\nIntermediate-to-Advanced SQL querying knowledge (window functions, pivots, etc.)\r\nAzure Data Lake and Databricks experience\r\nPower BI report development experience\r\nFamiliarity with AVEVA PI Asset Framework\r\nFamiliarity with Git revision control\r\nAn unquenchable desire to continuously learn\r\n, About Us Compensation and Benefits:\r\nIf a pay range is identified for this job, it is based on a good faith estimate at the time of this posting. Actual compensation is subject to variation due to factors such as education, experience, skillset, market/business considerations, and/or location.\r\nHowmet Aerospace offers a competitive benefits package to support the health, financial well-being, and professional growth of our employees. Benefits include:\r\nComprehensive medical, prescription, dental, and vision benefits coverage, including FSA and HSA account options\r\nPre-tax and Roth 401(k) retirement savings plans offering employer matching funds and a separate employer retirement contribution\r\nPaid holidays and vacation time (eligibility, accrual, and usage are discretionary and governed by applicable policies)\r\nPaid parental leave and adoption assistance programs\r\nLife insurance and disability coverage plans\r\nOptional coverage plans for auto, home, legal, identity theft, and pet insurance\r\nTuition Assistance Program and ongoing professional development opportunities\r\nEmployee Assistance Program (EAP)\r\nOur Story\r\nHowmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $8.3 Billion in revenue in 2025, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers' success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2025 Environmental Social and Governance report at . Follow: LinkedIn , Twitter , Instagram , Facebook , and YouTube .\r\nEqual Opportunity Employer\r\nHowmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.\r\nIf you need assistance to complete your application due to a disability, please email: TalentAcquisitionCoE_Howmet@howmet.com\r\n, About the Team The Howmet engines business produces world-class aerospace engine components, including investment castings, fasteners, rings and forgings. Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high performance parts enable the next generation of quieter, cleaner and more fuel-efficient aerospace engines. Able to supply more than 90% of structural and rotating aerospace engine components.","datePosted":"2026-10-28T14:27:45.041Z","dateModified":"2026-10-28T14:27:45.041Z","hiringOrganization":{"@type":"Organization","name":"Howmet","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Whitehall","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"faa9d771e3b00dae3bd6a674"},"url":"https://jobsearcher.com/jobs/faa9d771e3b00dae3bd6a674"}}