Remote Senior Operations Analyst: Manufacturing Insights

Placements24; Paarl; Remote; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote work

Learning resources

Advanced analytics platforms

Job summary

Placements24 is seeking a highly analytical Remote Senior Operations Analyst to dissect manufacturing data, identify trends, and derive strategic insights for efficiency and profitability across sites. The role emphasizes data-driven decision making in a fully remote environment.

The ideal candidate has a strong quantitative background, experience in manufacturing operations, and advanced skills in SQL, Python, R, and BI tools.

Qualifications

• Master's degree or higher in a quantitative field (OR/IE/Data Science/Analytics).
• 6+ years experience in operations analysis or BI in manufacturing.
• Strong SQL, Python, R for data analysis and modeling.
• Proficient in data visualization tools (Tableau/Power BI).
• Able to translate data into actionable business insights.

Responsibilities

• Analyze large manufacturing datasets: production, costs, quality, supply chain KPIs.
• Develop dashboards and reports to visualize KPIs and trends.
• Identify opportunities for cost reduction and efficiency improvements.
• Model scenarios to forecast outcomes and support decisions.
• Collaborate with remote cross-functional teams (operations, eng, finance).
• Build business cases for operational changes with benefits and requirements.
• Present findings to senior leadership clearly and persuasively.
• Stay updated on best practices in operations analytics and data science.
• Design and run A/B tests or pilots for new strategies.
• Ensure data integrity across analyses and reports.

Skills

SQL

Python

R

Data Visualization

Education

Master's degree in Operations Research/Industrial Engineering/Data Science/Analytics

Tools

Tableau

Power BI

Job description

Placements24 is seeking a highly analytical Remote Senior Operations Analyst to dissect manufacturing data, identify trends, and derive strategic insights for efficiency and profitability across sites. The role emphasizes data-driven decision making in a fully remote environment.

The ideal candidate has a strong quantitative background, experience in manufacturing operations, and advanced skills in SQL, Python, R, and BI tools.