Jobs at Terra Aqua Environmental Consultancy Nigeria Limited

Key Responsibilities
Bank Reconciliations:

• Perform daily, weekly, and monthly reconciliation of all company bank accounts
• Investigate and resolve all reconciling items, including outstanding deposits, unposted items, bank errors, and other discrepancies.
• Prepare and maintain detailed bank reconciliation reports.

General Ledger Reconciliations:

• Perform regular reconciliation of key balance sheet accounts, such as accounts receivable, accounts payable, intercompany accounts, and suspense accounts.
• Identify and investigate any variances between the general ledger and subsidiary ledgers.
• Prepare and post necessary journal entries to correct discrepancies and ensure the accuracy of the general ledger.
• Maintain supporting documentation for all reconciliations and journal entries.

Financial Reporting and Month-End Close:

• Assist with the monthly and annual financial close processes.
• Contribute to the preparation of audit schedules and supporting documentation.
• Provide ad-hoc financial analysis and reporting as required by financial controller or next in rank

Process Improvement and Controls:

• Identify opportunities to improve reconciliation processes and enhance internal controls.
• Ensure compliance with company policies, accounting standards, and regulatory requirements.
• Assist in the implementation of new accounting systems or software as needed.

Statutory & Taxation:

• Prepare and file monthly Value Added Tax (VAT) and Withholding Tax (WHT) returns
• Compute and remit monthly Pay-As-You-Earn (PAYE) deductions to the Ogun State Internal Revenue Service (OIRS) for all employees.
• Prepare and remit other statutory levies and contributions, such as Pension (PENCOM)
• Monitor and ensure that all tax and statutory deadlines are met to avoid penalties and interest charges.

Qualifications / Skills

• HND or BSC in Accounting, Finance, or related field (ACA certification or final stage is a plus).
• Minimum of 4 years experience in manufacturing sector
• Strong knowledge of accounting principles, standards, and regulations.
• Proficiency in accounting software (e.g., ERPNEXT QuickBooks, SAGE or similar) and MS Excel.
• Excellent analytical, problem-solving, and organizational skills.
• High level of integrity and ability to handle confidential information.
• Knowledge of Nigerian tax laws and statutory compliance
• Strong attention to detail and accuracy in financial reporting.
• Good communication and interpersonal skills.

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Job Responsibilities

• Assist in the verification of compliance with established internal control procedures by internal audits examining records, reports, operating practices, and documentation ensuring that financial reports are accurate and reliable
• Support and maintain the internal control systems database for non-conformities or recommend new policies and procedures.
• Assist in the Capture, Preparation and presentation of reports that reflect risk, systems or audit results, document process and Operational Data analysis
• Collect and prepare information as directed by IC Manager or Executive that Identify weaknesses including entering data into specific programs that provide analytical or strategic controls or reports Aid or recommend risk aversion measures and cost savings changes to be made based on observations
• Assist and engage in continuous knowledge development of the sector’s rules, regulations, best practices, tools, techniques and performance standards
• Engage in the Collating, checking and vetting of departmental documents and spread sheet data for accuracy
• Preparation and maintain registers of all legal accreditations certifications insurance or compliance obligations
• Ensuring procedures, policies, and standard operating manuals are current and compliant.

Qualifications

• HND / Degree in Business Accounting, Administration, Economics or any Computer Sciences.
• Preferable 5 years relevant post-graduate experience, in accounting, audit or administrative post
• Numerical Ability
• Computer Aptitude essential Microsoft Office
• Audit and Accounting Skills
• Organizational and Planning Aptitude
• Logistic appreciation and self-discipline
• Honesty and Integrity
• Willing learner
• Teamwork Spirit and Good Attitude.

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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.