Decision Support Analyst

Cape Town - South Africa

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description

We are partnering with the high-growth FinTech division of one of South Africas largest and most respected retail groups. This organization is the engine behind innovative payment and lending solutions that provide millions of customers with access to credit and financial services. This is a unique opportunity to join a sophisticated analytics team where your work will directly influence strategic decisions drive business value and shape the financial products used by a massive customer base.

As the new Data & Insights Analyst your core mission is to transform raw data into actionable intelligence. You will be the crucial link between data and decision-making analyzing trends identifying opportunities and collaborating with business leaders to enhance efficiency and strategy. You wont just be building reports; youll be a true analytical partner helping to design and implement the next generation of automated and predictive decision solutions that will shape the future of the business.

Performance Objectives for Year One:

Deliver a Key Business Optimization Project: Within the first 6 months you will develop and deliver a comprehensive suite of Power BI dashboards for a key business unit. This will empower stakeholders with self-service analytics and lead to a measurable reduction in ad-hoc reporting requests.
Drive a Data-Driven Initiative: Within 9 months you will lead a deep-dive analysis into a core business area (e.g. customer trends portfolio performance) identifying a significant opportunity or risk. You will present your findings and data-backed recommendations to senior stakeholders.
Contribute to an Advanced Analytics Solution: Over the first year partner with the data science and IT teams to provide the foundational business analysis and requirements for at least one new predictive or automated decision-making solution.
Enhance Data Warehouse Capabilities: Collaborate with the data engineering team to successfully scope and implement a new data solution or enhancement in the data warehouse improving data accessibility and quality for the entire analytics team.

Profile for Success:

A proven track record (3 years) in a Data Analytics Business Intelligence or similar analytical role.
Expert-level proficiency in SQL for extracting and manipulating large complex datasets.
Demonstrated experience designing and building insightful visualizations and dashboards in tools like Power BI or SSRS.
A history of successfully translating complex business questions into clear analytical projects and communicating insights to stakeholders.
A degree in a quantitative field such as Finance Mathematics Statistics Engineering or a related discipline.
Experience with cloud platforms (e.g. GCP) is highly advantageous.

Required Experience:

Job DescriptionWe are partnering with the high-growth FinTech division of one of South Africas largest and most respected retail groups. This organization is the engine behind innovative payment and lending solutions that provide millions of customers with access to credit and financial services. Th...

Job Description

Performance Objectives for Year One:

Deliver a Key Business Optimization Project: Within the first 6 months you will develop and deliver a comprehensive suite of Power BI dashboards for a key business unit. This will empower stakeholders with self-service analytics and lead to a measurable reduction in ad-hoc reporting requests.
Drive a Data-Driven Initiative: Within 9 months you will lead a deep-dive analysis into a core business area (e.g. customer trends portfolio performance) identifying a significant opportunity or risk. You will present your findings and data-backed recommendations to senior stakeholders.
Contribute to an Advanced Analytics Solution: Over the first year partner with the data science and IT teams to provide the foundational business analysis and requirements for at least one new predictive or automated decision-making solution.
Enhance Data Warehouse Capabilities: Collaborate with the data engineering team to successfully scope and implement a new data solution or enhancement in the data warehouse improving data accessibility and quality for the entire analytics team.

Profile for Success:

A proven track record (3 years) in a Data Analytics Business Intelligence or similar analytical role.
Expert-level proficiency in SQL for extracting and manipulating large complex datasets.
Demonstrated experience designing and building insightful visualizations and dashboards in tools like Power BI or SSRS.
A history of successfully translating complex business questions into clear analytical projects and communicating insights to stakeholders.
A degree in a quantitative field such as Finance Mathematics Statistics Engineering or a related discipline.
Experience with cloud platforms (e.g. GCP) is highly advantageous.

Required Experience: