What are the responsibilities and job description for the Manufacturing Data Analyst position at Ascentt?
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.
Role Overview
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.
What You’ll Do
SQL, Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines
Industry Experience (Important)
Manufacturing, Automotive, Industrial, Supply Chain, Production, Heavy Industry
Nice-to-Have
Lean Manufacturing, Six Sigma, IIoT, Smart Factory, Industry 4.0
Location & Travel
This isn’t a typical data role.
You’ll Be
Role Overview
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.
What You’ll Do
- 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
Industry Experience (Important)
Manufacturing, Automotive, Industrial, Supply Chain, Production, Heavy Industry
Nice-to-Have
Lean Manufacturing, Six Sigma, IIoT, Smart Factory, Industry 4.0
Location & Travel
- 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