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Data Analyst

Enaex -
Gauteng

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Job Details

Full-time

Full Job Description

To extract and consolidate data from operational source systems (such as IBIS, SAP and fleet data sources) using 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 fleet 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.

Matric / Grade 12 or equivalent.
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).
SQL Reporting.
Microsoft Power BI (DAX and Power Query / M).
SQL (querying relational data sources).
SAP.
Microsoft 365 (advanced Excel) and Microsoft Projects.

Required technical or professional experience

3 to 5 years in a data analyst or business intelligence role, ideally within an operational, logistics, manufacturing or mining environment
2 to 3 years building reports and dashboards in Microsoft Power BI, including hands-on SQL for data preparation

Preference will be given to candidates from previously disadvantaged groups, including persons with disabilities, in line with our Employment Equity objectives.

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