Full-Time

Manufacturing Data Analyst

Updated on 9/11/2026

Ascentt

Ascentt

201-500 employees

Enterprise AI, data science, cloud solutions

No salary listed

Raleigh, NC, USA + 3 more

More locations: Plano, TX, USA | Kentucky, USA | Indiana, USA

In Person

Highly on-site; frequent travel or relocation may be required.

Category
Data & Analytics (1)
Required Skills
Power BI
Microsoft Azure
Python
Supply Chain Management
Six Sigma
Data Structures & Algorithms
SQL
ETL
Data Engineering
Tableau
AWS
Data Modeling
Data Governance
Data Analysis
Snowflake

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Requirements
  • At least 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, and data glossaries.
  • Strong consultative skills, including stakeholder management, process mapping, requirements gathering, and data strategy.
  • Ability to translate complex data into simple business language.
  • Proficiency with SQL, Python, Power BI or Tableau, Snowflake, Azure or AWS, extract-transform-load processes, and data pipelines.
Responsibilities
  • 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 with business stakeholders, plant teams, and leadership.
  • Identify high-impact quick-win opportunities, including micro-transformations.
  • Act as a trusted data consultant.
  • Build trust with plant teams and drive transformation from the ground up.
  • Bridge data strategy and shop-floor execution.
Desired Qualifications
  • Experience with manufacturing, plant, or industrial data.
  • Industry experience in manufacturing, automotive, industrial, supply chain, production, or heavy industry.
  • Knowledge of lean manufacturing, Six Sigma, industrial internet of things, smart factories, or Industry 4.0.

Ascentt provides AI, ML, data science, and cloud-focused solutions to enterprise clients through a mix of strategy, engineering, and managed services. It guides projects through THINK, BUILD, RUN, and REPEAT to turn data assets into actionable insights. The company stands out with its global delivery center, dedicated AI Solutions Lab, and industry focus on automotive and manufacturing for cost-efficient, enterprise-scale implementations. Its goal is to enable data-centric digital transformation across cloud platforms that lead to measurable business outcomes.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

2007

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Simplify Jobs

Simplify's Take

What believers are saying

  • Ascentt won Emerging GenAI Solution of the Year in June 2026 for agent products.
  • Reuters Events Automotive Europe 2026 gave Ascentt a stage with industrial decision-makers.
  • The company claims 150 AI deployments and nearly $1 billion cumulative impact, aiding sales.

What critics are saying

  • Accenture and Databricks deepened their alliance in March 2026, squeezing services partners.
  • Ascentt’s public proof comes from awards and events, not disclosed recurring revenue or customers.
  • If Fortune 100 manufacturers insource AI teams, Ascentt’s consulting-led model gets commoditized by 2027.

What makes Ascentt unique

  • Ascentt’s 2026 awards validate a manufacturing-focused AI niche, especially repair and supply-chain agents.
  • Its Pune Global Delivery Center and India AI lab support lower-cost execution and R&D.
  • CEO Nilesh Vyas sells a repeatable THINK-BUILD-RUN-REPEAT model for enterprise transformation.

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Benefits

Hybrid Work Options