Mqa Intern

Mintek Pty Ltd.; Gauteng; Hybrid; ZAR 600,000 - 800,000; Full time

Job summary

Mintek Pty Ltd. in Johannesburg seeks a Senior Analyst - Mining to execute daily data collection, compilation and analysis powering contracted analytics services. The role is the operational backbone, ensuring data accuracy, validation, reconciliation and timely reporting for mining customers.

You will identify trends, manage exceptions and produce insights that support customer decision-making while upholding SLA commitments and data integrity across multiple sources.

Qualifications

• 4+ years in a data analyst, operations analyst or reporting analyst role, ideally in mining, industrial, telematics or data-services contexts.
• Strong data-handling, validation and reconciliation skills with high attention to accuracy.
• Proficiency in data analysis and reporting tools (advanced Excel essential; SQL, Power BI or similar advantageous).
• Ability to identify patterns and anomalies to drive actionable insights.

Responsibilities

• Execute daily collection and compilation of operational data feeding the contracted analytics services.
• Validate data integrity with quality checks before analysis and reporting.
• Analyse data to identify trends, patterns and outliers relevant to operations and contract performance.
• Ensure analytics service delivery meets SLA, accuracy and timeliness requirements.

Skills

Data analysis

Excel

SQL

Power BI

Attention to detail

Tools

SQL

Power BI

Excel

Job description

Senior Analyst - Mining

Job Description

Region: South Africa, Namibia, Botswana, Lesotho, eSwatini

Employing Legal Entity: Gilbarco AFS

Organization: Convenience Retail

Location: Johannesburg, South Africa

Workplace Type: (Hybrid/In-Person)

Department: Sales

Reports To: Senior Manager, Mining Analytics South Africa

Direct Reports: None

Job Overview

To execute the daily data collection, compilation and analysis that powers the contracted analytics services at the core of Vontier's end-to-end mining solutions. The role is the operational backbone of the analytics service delivery: ensuring the data underpinning customer-facing insight is accurate, validated, reconciled on time, and free of unmanaged exceptions. Mining customers rely on these analytics as a cornerstone of the solutions deployed to them, so the integrity, timeliness and defensibility of the data directly determine service quality and customer trust. The role combines disciplined day-to-day execution with analytical rigour, identifying trends, managing exceptions, and producing reporting that turns raw operational data into reliable, actionable insight.

Responsibilities

Data collection and compilation

• Execute daily collection and compilation of operational data feeding the contracted analytics services.
• Ensure data completeness, accuracy and consistency across all sources.
• Manage data intake from multiple systems, sites and customer feeds.

Validation and reconciliation

• Validate data integrity, applying quality checks and controls before analysis and reporting.
• Complete reconciliations accurately and on time, in line with contractual and service commitments.
• Identify, investigate and manage exceptions, anomalies and discrepancies to resolution.
• Escalate unresolved or material issues to the Senior Manager promptly.

Analysis and reporting

• Analyse data to identify trends, patterns and outliers relevant to customer operations and contract performance.
• Produce accurate, timely analytics outputs and reports for customers and internal stakeholders.
• Translate data findings into clear, meaningful insight supporting customer decision-making.
• Support continuous improvement of analytics methods, controls and reporting.

Service delivery support

• Ensure analytics service delivery meets SLA, accuracy and timeliness requirements.
• Maintain documentation of data processes, controls and reconciliations for audit and compliance.

Required Skills / Qualifications / Certifications / Tech Stack

Essential

• 4+ years in a data analyst, operations analyst or reporting analyst role, ideally in mining, industrial, telematics or data-services contexts.
• Strong data-handling, validation and reconciliation skills with high attention to accuracy.
• Proficiency in data analysis and reporting tools (advanced Excel essential; SQL, Power BI or similar advantageous).
• Ability to identify