Manufacturing Data Analyst

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.

Are you someone who thrives at the intersection of data and real-world operations?
We’re looking for a Manufacturing Data Analyst / Senior Data Analyst to drive a large-scale data transformation initiative across manufacturing plants—working directly on the ground where impact truly happens.

• →Work on-site at manufacturing plants to understand operations firsthand
• →Map and analyze plant operations, shop floor, and production data
• →Conduct current-state assessments and build data glossaries
• →Partner closely with business stakeholders, plant teams, and leadership
• →Identify high-impact, quick-win opportunities (micro-transformations)
• →Act as a trusted data consultant, not just a developer

• 6+ years of experience in data-focused roles
• Strong foundation in:
• • Data Warehousing, Data Modeling, Data Structures
  • Data Mapping, Data Analysis
  • Data Governance, Data Architecture, Data Glossary
• Experience with manufacturing / plant / industrial data (highly preferred)
• Strong consultative skills: stakeholder management, process mapping, requirements gathering, data strategy
• Ability to translate complex data into simple business language

SQL, Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines

Manufacturing, Automotive, Industrial, Supply Chain, Production, Heavy Industry

Lean Manufacturing, Six Sigma, IIoT, Smart Factory, Industry 4.0

• Highly on-site role
• Preferred: Kentucky, Indiana, North Carolina (Raleigh)
• Open to candidates willing to travel frequently or relocate

This isn’t a typical data role.

You’ll be:

• Building trust with plant teams
• Driving real transformation from the ground up
• Acting as a bridge between data strategy and shop-floor execution