Manufacturing Data Analyst

Raleigh, North Carolina, United StatesOnsiteFull TimePosted 2 months agoVisa sponsorship available

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Role summary

Ascentt is seeking Data Analysts and Senior Data Analysts to join their team, focusing on building data analytics and AI/ML solutions for the automotive and manufacturing sectors. This role requires working on-site at manufacturing plants to analyze shop floor and operational data, drive data transformation initiatives, and enable data-driven decision-making. Key responsibilities include data mapping, modeling, analysis, and acting as a data consultant to translate business needs into practical data solutions. The ideal candidate will have strong skills in Data Engineering, Data Modeling, SQL, Python, and reporting tools like Power BI or Tableau, with experience in cloud platforms and data warehousing.

Ascentt is building cutting-edge data analytics and AI/ML solutions for global automotive and manufacturing leaders. We transform enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves complex engineering challenges at scale, delivering tangible impact across industries.

Role Overview

We are looking for passionate Data Analysts and Senior Data Analysts who thrive at the intersection of data and real-world manufacturing operations. This role involves working closely with plant teams to drive large-scale data transformation initiatives and enable data-driven decision-making on the shop floor.

Key Responsibilities

Work on-site at manufacturing plants to understand operations and data flows
Analyze shop floor, production, and operational data
Conduct current-state assessments and build data glossaries
Perform data mapping, modeling, and analysis
Identify quick-win opportunities and drive micro-transformations
Collaborate with business stakeholders, plant teams, and leadership
Act as a data consultant, translating business needs into data solutions
Bridge the gap between data strategy and execution on the ground

Core Skills (Must Have)

Strong experience in Data Engineering & Data Modeling
Proficiency in SQL and Python
Experience with Power BI or Tableau (reporting & visualization)
Knowledge of:
Data Warehousing
Data Structures & Architecture
Data Mapping & Governance
ETL Processes & Data Pipelines
Experience with Cloud Platforms (Azure / AWS)
Exposure to Snowflake

Good to Have

Experience with Power Apps
Knowledge of Manufacturing / Industrial domain
Familiarity with:
Lean Manufacturing
Six Sigma
IIoT / Smart Factory
Industry 4.0 concepts

Industry Experience (Preferred)

Manufacturing
Automotive
Industrial / Heavy Industry
Supply Chain / Production

Key Competencies

Strong stakeholder management and consultative skills
Ability to simplify complex data into actionable business insights
Experience in process mapping and requirements gathering
Data strategy and problem-solving mindset

Location & Travel

Highly on-site role at manufacturing plants
Preferred locations: Kentucky (Georgetown), Indiana (Princeton), & North Carolina (Raleigh/ Liberty)
Open to candidates willing to travel frequently or relocate

Why Join Us?

This is not a traditional data role. You will:

Work directly on the shop floor where impact happens
Build strong relationships with plant and business teams
Drive real-world transformation using data
Play a key role in shaping the future of industrial intelligence

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