Career Opportunity in Data and Analytics
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Professional skills and responsibilities for this management level include but are not limited to:
- Use feedback and reflection to develop self-awareness, personal strengths, and address development areas.
- Delegate to others to provide stretch opportunities, coaching them to deliver results.
- Demonstrate critical thinking and the ability to bring order to unstructured problems.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends.
- Review your work and that of others for quality, accuracy, and relevance.
- Know how and when to use tools available for a given situation and can explain the reasons for this choice.
- Seek and embrace opportunities which give exposure to different situations, environments, and perspectives.
- Use straightforward communication, in a structured way, when influencing and connecting with others.
- Able to read situations and modify behavior to build quality relationships.
- Uphold the firm's code of ethics and business conduct.
Duties & Responsibilities
Services to be provided
- Development and delivery of data and integration solutions e.g. building/enhancing data models, sourcing data, transformation, optimisation and provisioning.
- Technical support of existing models and platforms within the BI environment e.g. enhancements and bug fixes.
- Technical documentation of data environments, data models, and data flows.
- Working independently or with seniors on a project team to deliver new requirements that are small to medium scale.
- Collaboration within the data team to help bring about improvements and efficiencies relating to the technical data environment.
- Assisting the Data Engineering function with data analysis, monitoring and troubleshooting.
- Working with the DBA team to ensure that deliverables meet quality expectations.
Scope of services included
Delivery of assigned tasks as captured and assigned in the BI team’s product backlog or approved and assigned through a supported Africa Technology product line backlog or approved and assigned through the helpdesk solution by the Team Lead.
Any tasks not specified in the BI product backlog or supported Africa Technology product line backlog or helpdesk, unless agreed with the Team Lead.
Approach
- The position will report to the Team Lead, working closely with the Business Intelligence Technical Lead regarding deliverable review and approval.
- Projects and work tasks will be assigned through the Africa Technology scrum delivery process as prioritised and approved by the Team Lead.
- Adherence to company technical best practices and standards.
- All work tasks to be recorded, managed, and delivered within the company standard work management platform (Azure DevOps).
- Adherence to company software development and release processes including, but not limited to, change and release controls, security, risk, and governance.
- Maintenance of professional relationships and communication with key stakeholders.
- Product and environment support tasks as assigned through the product backlogs and helpdesk.
- Service Line project tasks as assigned through the Africa Tech Product Line backlogs.
- Data Engineering team project tasks related to internal projects.
- Technical documentation of solutions.
- Technical test cases.
Desired Experience & Qualification
Skills required:
- Power BI Desktop
- Power BI Service
- SQL
- T-SQL
- SSIS
- SSAS
- Data structures/modeling e.g. ability to technically document data environments, data models, and data flows.
- Alteryx (development)
- Database security
- Database monitoring
- Python (Pyspark)
- Machine learning (basic understanding)
- Containerisation (basic understanding)
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