Data Analyst
Johannesburg, GP, South Africa
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingAnalyse and interpret project and change data to identify trends, patterns, risks and insights that support PMO and business decision-making.
Develop and maintain reports, dashboards and data visualisations that provide clear visibility of project performance, implementation progress, adoption and benefits realised.
Maintain and enhance PMO reporting tools and platforms, while identifying opportunities to automate, simplify and continuously improve reporting processes.
From the employer’s posting
Key Responsibilities: Analyse and interpret project and change data to identify trends, patterns, risks and insights that support PMO and business decision-making. Develop and maintain reports, dashboards and data visualisations that provide clear visibility of project performance, implementation progress, adoption and benefits realised.
Analyse and interpret project and change data to identify trends, patterns, risks and insights that support PMO and business decision-making. Develop and maintain reports, dashboards and data visualisations that provide clear visibility of project performance, implementation progress, adoption and benefits realised. Consolidate, validate and manage data from multiple sources to ensure reporting is accurate, complete, reliable and fit for purpose.
Consolidate, validate and manage data from multiple sources to ensure reporting is accurate, complete, reliable and fit for purpose. Maintain and enhance PMO reporting tools and platforms, while identifying opportunities to automate, simplify and continuously improve reporting processes. Engage with project, change and business stakeholders to understand reporting requirements and translate data into meaningful insights that support project delivery and the broader change journey.
What you’ll bring
All qualificationsCore experience
- 2–3 years’ experience in data analysis, business intelligence, reporting, project analytics or a related analytical environment, preferably within banking, financial services or another complex organisation.
- Hands-on experience using Power BI, SQL and Microsoft Excel to analyse data, develop dashboards, create data visualisations and produce meaningful business reporting.
- Experience working with multiple data sources, including extracting, cleaning, transforming, validating and consolidating data, with practical exposure to Power Query and DAX.
- Experience translating data into clear insights, trends and recommendations, with exposure to reporting automation, data quality, governance and the controlled use of data within a regulated environment.
Qualification wording
2–3 years’ experience in data analysis, business intelligence, reporting, project analytics or a related analytical environment, preferably within banking, financial services or another complex organisation.
Hands-on experience using Power BI, SQL and Microsoft Excel to analyse data, develop dashboards, create data visualisations and produce meaningful business reporting.
Experience working with multiple data sources, including extracting, cleaning, transforming, validating and consolidating data, with practical exposure to Power Query and DAX.
Experience translating data into clear insights, trends and recommendations, with exposure to reporting automation, data quality, governance and the controlled use of data within a regulated environment.
Education & alternatives
Qualifications - A Bachelor’s Degree or Advanced Diploma in Data Analytics, Data Science, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Business/Commerce or another relevant analytical or quantitative field. Experience Required:
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Excel
- Snowflake
- Power BI
- Power Query
Source — Tool mentions in context
- Experience translating data into clear insights, trends and recommendations, with exposure to reporting automation, data quality, governance and the controlled use of data within a regulated environment. - Exposure to Python, artificial intelligence (AI), generative AI or modern cloud and data platforms such as Azure, AWS, Databricks or Snowflake, as well as project or portfolio reporting tools such as Jira, would be advantageous. Behavioural Competencies:
- 2–3 years’ experience in data analysis, business intelligence, reporting, project analytics or a related analytical environment, preferably within banking, financial services or another complex organisation. - Hands-on experience using Power BI, SQL and Microsoft Excel to analyse data, develop dashboards, create data visualisations and produce meaningful business reporting. - Experience working with multiple data sources, including extracting, cleaning, transforming, validating and consolidating data, with practical exposure to Power Query and DAX.
- Hands-on experience using Power BI, SQL and Microsoft Excel to analyse data, develop dashboards, create data visualisations and produce meaningful business reporting. - Experience working with multiple data sources, including extracting, cleaning, transforming, validating and consolidating data, with practical exposure to Power Query and DAX. - Experience translating data into clear insights, trends and recommendations, with exposure to reporting automation, data quality, governance and the controlled use of data within a regulated environment.
Job description
Job Description
To provide data insights, analytics and reporting across projects and change initiatives within the Project Management Office (PMO) for Personal and Private Banking South Africa (PPBSA).
The role supports the PMO and broader change journey through the analysis and interpretation of project and change data, providing meaningful insights that enable informed decision-making and visibility of project performance, implementation progress, adoption and benefits realised.
The role also supports the development, implementation and maintenance of reporting platforms, dashboards and analytical tools, with a focus on strengthening data quality, simplifying reporting and enabling greater automation.
Key Responsibilities:
- Analyse and interpret project and change data to identify trends, patterns, risks and insights that support PMO and business decision-making.
- Develop and maintain reports, dashboards and data visualisations that provide clear visibility of project performance, implementation progress, adoption and benefits realised.
- Consolidate, validate and manage data from multiple sources to ensure reporting is accurate, complete, reliable and fit for purpose.
- Maintain and enhance PMO reporting tools and platforms, while identifying opportunities to automate, simplify and continuously improve reporting processes.
- Engage with project, change and business stakeholders to understand reporting requirements and translate data into meaningful insights that support project delivery and the broader change journey.
Qualifications
- A Bachelor’s Degree or Advanced Diploma in Data Analytics, Data Science, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Business/Commerce or another relevant analytical or quantitative field.
Experience Required:
- 2–3 years’ experience in data analysis, business intelligence, reporting, project analytics or a related analytical environment, preferably within banking, financial services or another complex organisation.
- Hands-on experience using Power BI, SQL and Microsoft Excel to analyse data, develop dashboards, create data visualisations and produce meaningful business reporting.
- Experience working with multiple data sources, including extracting, cleaning, transforming, validating and consolidating data, with practical exposure to Power Query and DAX.
- Experience translating data into clear insights, trends and recommendations, with exposure to reporting automation, data quality, governance and the controlled use of data within a regulated environment.
- Exposure to Python, artificial intelligence (AI), generative AI or modern cloud and data platforms such as Azure, AWS, Databricks or Snowflake, as well as project or portfolio reporting tools such as Jira, would be advantageous.
Behavioural Competencies:
- Adopting Practical Approaches, Exploring Possibilities and Interpreting Data
- Checking Things, Following Procedures and Upholding Standards
- Articulating Information and Team Working
- Developing Expertise and Embracing Change
- Meeting Timescales and Producing Output
Technical Competencies:
- Analysis
- Interpretation
- Reporting
- Improvement
- Optimisation
Company Description
Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.
Your next step
- Have your CV and examples of relevant work ready.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Johannesburg, GP, South Africa
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 3, 2026
- Recorded sightings
- 3
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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