Sr. Data Engineer – Manufacturing Analytics - remote

Cognizant; Saint Paul (MN); Remote; USD 90,000 - 120,000; Full time

Job summary

An industry leader in technology is seeking a Senior Data Analyst in Saint Paul, Minnesota. The role involves developing analytical frameworks, collaborating with plant teams, and translating data into visual insights. The ideal candidate has over 10 years of Python experience and a Bachelor's in Computer Science. Strong data visualization and communication skills are essential. This position offers a dynamic work environment focused on data-driven decision-making.

Qualifications

• Minimum 10 years of experience in Python.
• Comfortable tackling ambiguous problems.
• Experience designing analytical frameworks from scratch.

Responsibilities

• Develop analytical frameworks for production stages.
• Collaborate with plant and engineering teams.
• Translate datasets into actionable insights.

Skills

Technical & Analytical Proficiency

Strong command of Python for data analysis

Experience with time-series datasets

Familiarity with statistical methods

Data Visualization & Communication

Proficient in visualization tools

Skilled in storytelling presentation

Manufacturing Domain Acumen

Problem Solving & Initiative

Communication & Stakeholder Engagement

Education

Bachelor's in Computer Science

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.