Sr. Data Engineer – Manufacturing Analytics - remote

Cognizant; Baton Rouge (LA); Remote; USD 80,000 - 110,000; Full time

Job summary

A leading tech company in Baton Rouge is seeking an experienced Data Analyst to develop analytical frameworks and collaborate with engineering and operations teams. The ideal candidate will have significant experience in Python, data analysis, and a strong ability to communicate findings effectively. This role is crucial in optimizing manufacturing processes and requires a Bachelor's degree in Computer Science.

Qualifications

• Minimum 10 years of experience in Python.
• Experience with industrial systems and capacity planning.
• Ability to collaborate across various teams.

Responsibilities

• Develop analytical frameworks for production capacity evaluation.
• Collaborate with plant and engineering teams for data-driven decisions.
• Create tools and dashboards for performance monitoring.

Skills

Python

Data analysis

Time-series data

Data visualization

Statistical methods

Communication

Storytelling

Manufacturing operations

Problem solving

Education

Bachelor's degree 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.