Sr. Data Engineer – Manufacturing Analytics - remote

Cognizant; Little Rock (AR); Remote; USD 90,000 - 110,000; Full time

Job summary

A leading technology consulting firm in Little Rock seeks an experienced analytics professional to optimize potato fries production using data frameworks. The role requires a strong background in Python and data visualization, with at least 10 years of experience. Candidates with manufacturing knowledge and strong communication skills will excel in presenting insights to stakeholders.

Qualifications

• Minimum 10 years of experience in Python.
• Experience working with time-series datasets.
• Strong written and verbal communication skills.

Responsibilities

• Develop frameworks for evaluating production capacity.
• Collaborate with plant teams for data-driven decisions.
• Build dashboards to monitor performance metrics.

Skills

Python for data analysis

Data visualization skills

Statistical methods

Storytelling in presentations

Familiarity with manufacturing systems

Education

Bachelor's in Computer Science

Tools

Power BI

Python libraries

Job description

Responsibilities

• Develop and iterate on analytical frameworks to evaluate capacity, throughput, and system constraints across potato fries production stages.

• Collaborate closely with plant teams, engineering, and insights teams to validate assumptions, refine models, and support data-driven decision-making.

• Translate complex datasets into actionable insights through impactful visualizations.

• Build tools and dashboards to monitor key performance metrics and enable self-service analytics.

Key Skills & Qualifications

1. Technical & Analytical Proficiency

2. Strong command of Python for data analysis and modeling.

3. Experience working with time-series and operational datasets.

4. Familiarity with statistical methods and basic machine learning techniques.

5. Data Visualization & Communication

6. Proficient in visualization tools such as Python libraries and Power BI.

7. Ability to present data findings in clear, concise, and actionable formats.

8. Skilled in storytelling through presentations for both technical and non-technical audiences.

9. Manufacturing Domain Acumen

10. Interest or experience in manufacturing, operations, or industrial systems (e.g., refrigeration, production lines, capacity planning).

11. Ability to understand plant operations and contextualize analysis within process flows and constraints.

12. Problem Solving & Initiative

13. Comfortable tackling ambiguous problems and structuring analytical approaches.

14. Experience designing or enhancing analytical frameworks from scratch.

15. Communication & Stakeholder Engagement

16. Strong written and verbal communication skills with a top-down approach.

17. Ability to collaborate across engineering, operations, and analytics teams.

18. Confident in presenting insights and recommendations to mid-to-senior level stakeholders.

Qualifications

Minimum 10 Years of experience in Python

Must have a Bachelors in Computer Science

Nice to Have

• Exposure to manufacturing data systems (e.g., PI System, SCADA, MES).

• Experience with simulation tools or modeling physical processes (e.g., heat transfer, fluid dynamics).

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.