Data Analyst at Terra Aqua Environmental Consultancy Nigeria Limited

Terra Aqua Environmental Consultancy Limited - We are a Metal Recycling Plant a prominent player in the recycling industry. Specializing in the conversion of aluminum scraps and Used Beverage Cans (UBC) into high-quality aluminum ingots, our plant initially boasted a production capacity of 1200MT per month. Driven by a commitment to innovation and sustainability, we expanded our operations with a state-of-the-art facility with an installed capacity of 8,600MT of aluminium alloy ingots per month. This expansion underscores our dedication to addressing both environmental challenges and market demands.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Sango - Ota, Ogun
Employment Type: Full-time

Job Role

• The Data Analyst will play a critical role in supporting Terra Aqua Environmental Consultancy Limited’s Metal Recycling Plant operations by collecting, analyzing, and interpreting production, maintenance, financial, and supply chain data.
• The role is responsible for transforming raw operational data into actionable insights that drive efficiency, sustainability, compliance, and profitability.
• The analyst will work closely with Operations, Maintenance, ESG, Finance, and Senior Management to design reporting systems, build dashboards, and provide decision-support analyses.
• This is an experienced-level position requiring a strong background in industrial/manufacturing data analytics, proven ability to design and maintain databases/dashboards, and the ability to work with large, complex datasets.

Key Responsibilities
Data Management & Reporting:

• Design, implement, and maintain databases for production, equipment, maintenance, and other operational data.
• Ensure accuracy, completeness, and timeliness of daily data capture (production logs, equipment performance, maintenance logs, energy use).
• Develop and maintain real-time dashboards and reports in tools such as Power BI, Tableau, or Airtable.
• Establish and enforce data governance standards across departments.

Production & Process Analytics:

• Analyze furnace-level data (inputs, hot ingots, recovery %, capacity utilization) to identify efficiency trends, bottlenecks, and anomalies.
• Monitor scrap feedstock quality, yield, and recovery efficiency to recommend process improvements.
• Provide variance analysis between planned vs actual production and recommend corrective actions.

Maintenance & Asset Analytics:

• Track downtime, repair costs, spare parts usage, and preventive maintenance schedules.
• Support predictive maintenance by analyzing breakdown history and usage trends.
• Provide cost-per-equipment and lifecycle insights to support replacement vs repair decisions.

Financial & Business Analytics:

• Collaborate with Finance to monitor unit cost of production, repair costs, and margins.
• Build cost models for scrap procurement, energy usage, and logistics.
• Provide management with profitability and efficiency dashboards.

Stakeholder Communication & Decision Support:

• Present insights in clear, business-friendly reports and presentations for management and board meetings.
• Support regulators and investors with accurate, auditable data.
• Train operations staff on data capture tools and dashboard usage.

Key Performance Indicators (KPIs) for the Role

• Accuracy and completeness of daily production and maintenance data.
• Number and quality of dashboards/reports automated.
• Reduction in downtime through predictive analytics insights.
• Improvement in production yield/recovery through data-driven recommendations.
• Management satisfaction with data quality and insights.

Requirements
Educational Qualification

• Bachelor’s Degree in Data Analytics, Statistics, Computer Science, Engineering, Industrial/Production Management, or related field.
• Master’s Degree in Data Science, Business Analytics, or related field is an advantage.

Experience:

• Minimum 4–6 years of proven experience as a Data Analyst in manufacturing, heavy industry, recycling, or related environment.
• Demonstrated track record in designing dashboards, building data pipelines, and conducting in- depth operational analytics.
• Experience with production process data preferred.

Technical Skills:

• Strong proficiency in data visualization & reporting tools: Power BI, Tableau, or equivalent.
• Advanced Excel skills (pivot tables, power query, VBA).
• Proficiency with databases and SQL for managing large datasets.
• Experience with Python or R for advanced analytics and automation will be an advantage.
• Familiarity with ERP systems and integration of operational data.
• Knowledge of predictive analytics for maintenance (machine learning preferred but not required).

Industry Knowledge:

• Understanding of industrial production processes, furnaces, recycling, or heavy equipment operations will be an advantage.
• Familiarity with supply chain and logistics analytics in a manufacturing context.

Soft Skills:

• Strong analytical and problem-solving skills.
• Ability to translate complex data into actionable insights for non-technical stakeholders.
• Excellent written and verbal communication skills.
• High attention to detail and data accuracy.
• Ability to work cross-functionally with operations, maintenance, finance, and ESG teams.

Application Closing Date
15th October, 2025.

How to Apply
Interested and qualified candidates should send their CV to: hrterra2024@gmail.com using the Job Title as the subject of the email.