📌 OPPORTUNITY OVERVIEWMECS (Pty) Ltd is actively recruiting for a Data Analyst position in Gauteng. This is an excellent opportunity for professionals in the Data / Business / Analysis / Ai sector looking to advance their careers.
🎯 IDEAL CANDIDATE PROFILEWe are seeking talented individuals with the following profile• Experience Level: 4 - 6 years • Educational Background: Bachelor or equivalent • Industry Focus: Data / Business / Analysis / Ai • Location Preference: in Gauteng
💼 WHY THIS ROLE MATTERSThe Data Analyst position is an important role within the Data / Business / Analysis / Ai sector, offering meaningful career development and professional growth opportunities.
📈 CAREER DEVELOPMENT INSIGHTSThis role in Data / Business / Analysis / Ai offers valuable career progression opportunities aligned with your experience level and professional aspirations.
📋 APPLICATION GUIDANCEWhen applying for this Data Analyst position, ensure your CV highlights: • Relevant experience matching the 4 - 6 years requirement • Educational qualifications in line with Bachelor • Specific achievements in the Data / Business / Analysis / Ai field • Any certifications or specialized training
🌍 SOUTH AFRICA JOB MARKET CONTEXTThe Data / Business / Analysis / Ai sector in South Africa continues to show strong demand for skilled professionals. This position represents a valuable opportunity in the current job market.
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Our Client is seeking to appoint a Data Analyst with an Industrial Engineering background to join their team. The ideal candidate will have strong analytical skills and a understanding of operations within consulting, manufacturing or mining environments.
Key Requirements
Degree in Industrial Engineering. Proven experience as a Data Analyst, ideally within consulting, manufacturing or mining. Python and SQL skills are essential. Please note: Candidates with experience exclusively within financial services will not be considered.
Essential skillsPython – to create models Modelling Experience SQL - advanced DAX Power Query Data science course or qualification AI including ML Microsoft 365 (Advanced Excel) SAP PowerBI Experience in cloud platforms
REQUIREMENTSMatric / Grade 12 or equivalent (Mathematics strongly recommended) Diploma or Degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics or Industrial Engineering (or equivalent) Proficiency in SQL for data extraction and reporting (formal certification advantageous) Industrial Engineering Qualification Microsoft Power BI (DAX and Power Query / M), SQL (querying relational data sources), Issue-Based Information System (IBIS), SAP, Microsoft 365 (advanced Excel) and Microsoft Projects SQL Certification 4 to 6 years in a data analyst or business intelligence role, ideally within an operational, logistics, manufacturing or mining environment 3 to 5 years building reports and dashboards in Microsoft Power BI, including hands-on SQL for data preparation Exposure to business, asset or production data; experience with data modelling and data quality; and familiarity with Python for analytics is advantageous Exposure in the use of Generative AI and Machine Learning
RESPONSIBILITIESTo extract and consolidate data from operational source systems (such as IBIS, SAP and other data sources) using tools such as SQL and Power Query To keep up to date with bleeding edge technology such as generative AI and build tools intelligently while keeping compliance to data governance and privacy protocols To deliver end-to-end reporting solutions, from problem definition and data acquisition through to data modelling, analysis and visualisation in Power BI To identify operational efficiency, utilisation and cost-optimisation opportunities across the business using data and statistical analysis To analyse and interpret operational data and translate findings into clear, actionable insights for decision-makers and through projects To develop and maintain the reporting datasets and Power BI dashboards by sourcing, structuring and validating data for accuracy, relevance and completeness, and integrating it into the data model within agreed deadlines To analyse fleet metrics such as but not limited to utilisation, productivity and associated data, identifying patterns and trends, and presenting insights and recommendations within agreed deadlines To implement and maintain data quality controls by profiling data, defining validation rules and quality measures, and monitoring data integrity on an ongoing basis To automate recurring and high-impact reports by standardising report definitions and building repeatable refresh and reporting structures, delivering within agreed deadlines To review fleet data for risks, anomalies and opportunities, performing root-cause analysis and reporting insights and recommendations as required To gather and prioritise data and reporting requirements in collaboration with stakeholders, and provide delivery feedback within agreed deadlines To address data gaps by detecting inconsistencies and errors, applying data cleansing and validation processes, and reporting on data quality as required
How To Apply
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Send your application before the closing date.
Note: Only shortlisted candidates are contacted.
