Remote Production Data Analyst

Placements24; Centurion; Remote; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Fully remote

Home office stipend

Competitive salary

Professional development

Cutting-edge tools

Job summary

Placements24 in South Africa is seeking a Remote Production Data Analyst to transform raw production data into actionable insights. You will collect, clean, analyze, and interpret complex datasets related to manufacturing processes, and build dashboards to visualize KPIs for stakeholders.

Collaborating with production managers, engineers, and quality teams, you will develop predictive models, identify trends, and propose data-driven improvements while working independently in a remote setting.

Qualifications

• Bachelor's degree in a quantitative field is required.
• Strong data analysis and interpretation skills.
• Experience communicating insights to non-technical stakeholders.

Responsibilities

• Collect, clean, and analyze production data from multiple sources.
• Develop dashboards and reports to visualize KPIs for stakeholders.
• Identify trends and anomalies; propose data-driven improvements.
• Build predictive models for production output and material needs.
• Collaborate with production, engineering, and QA teams.

Skills

Data analysis

Statistics

Problem solving

Communication

Remote work

Education

Bachelor's degree in Statistics, Data Science, Computer Science, Engineering

Tools

SQL

Python (Pandas, NumPy)

R

Tableau

Power BI

Job description

About the Role

Our client is a forward-thinking manufacturing company seeking a highly analytical and detail-oriented Remote Production Data Analyst. This position is crucial for transforming raw production data into actionable insights that drive efficiency, quality, and cost savings across our various operations. Working entirely remotely, you will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets related to manufacturing processes. The ideal candidate will have a strong aptitude for statistics, a deep understanding of production metrics, and the ability to visualize data in a clear and compelling manner. You will collaborate closely with production managers, engineers, and quality assurance teams to identify trends, predict potential issues, and recommend data-driven strategies for improvement. This is a fantastic opportunity to contribute to strategic decision-making from anywhere, leveraging your analytical prowess to enhance our client's manufacturing excellence. The role is designed for a self-starter who thrives in an independent work environment and is passionate about data-driven innovation in the manufacturing sector.

Key Responsibilities

• Collect, aggregate, and clean production data from various sources (e.g., ERP systems, SCADA, sensor data).
• Analyze production performance metrics, including yield, throughput, cycle times, downtime, and quality indicators.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) for stakeholders.
• Identify trends, patterns, and anomalies in production data to pinpoint areas for improvement.
• Collaborate with production and engineering teams to define data requirements and analytical needs.
• Conduct root cause analysis for production deviations and quality issues using statistical methods.
• Develop predictive models to forecast production output, material needs, and potential equipment failures.
• Prepare clear and concise reports and presentations summarizing findings and recommendations.
• Stay updated on the latest data analysis tools, techniques, and best practices in manufacturing analytics.

Requirements

• Proven experience as a Data Analyst, preferably within a manufacturing or industrial setting.
• Strong proficiency in data analysis tools and languages such as SQL, Python (with libraries like Pandas, NumPy), R.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Solid understanding of statistical analysis and modeling techniques.
• Ability to interpret complex datasets and translate them into business insights.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Self-motivated with the ability to work independently and manage time effectively in a remote setting.
• A degree in Statistics, Data Science, Computer Science, Engineering, or a related quantitative field.

Benefits

• Fully remote work arrangement, offering flexibility and work-life balance.
• Competitive salary commensurate with experience.
• Opportunity to work with cutting-edge data analytics tools and methodologies.
• Contribution to strategic decision-making processes within a manufacturing context.
• Professional development and learning opportunities.
• Company-provided equipment or stipend for home office setup.