Role Purpose

This role is within FNB Retail Sales Analytics, looking after the Campaign data life cycle. A key function in this role will entail collaborating with the contextual solutions and sales teams to design and implement data-driven experiments and tests to measure the impact of different campaign variables and tactics. The role will also include the creation of compelling and engaging visualizations, as well as presentations, that tell a clear and convincing story with data.
The successful incumbent will also support in the development and maintenance of dashboards and reports that provide insights to the performance and effectiveness of the contextual solutions and sales campaigns, such as Conversion rates, Customer acquisition costs and Retention rates. Further to this, the role will also involve finding, and communicating opportunities and providing recommendations to improve the contextual solutions and sales campaigns through the optimization of channels, content and messaging to the correct target audience.

You’ll be an ideal candidate if you:

• Have strong SQL & SAS coding skills.
• A minimum of 3 years’ relevant experience within a similar environment
• Self-driven and able to run with projects.
• Hard working individual that can work well under pressure.

We can be a match if you are:

• Curious: Never satisfied with the status quo and want to find out the root cause and underlying patterns of data. Open-minded and willing to challenge own assumptions and biases.
• Analytical: Can apply logic and reasoning to data and draw valid conclusions. Able to evaluate the quality and reliability of data sources and methods.
• Creative: Produce innovative ideas and solutions based on data. Use your imagination and intuition to see new possibilities and opportunities. Able to present and communicate data in a visually appealing and engaging way.
• Communicative: Able to collaborate effectively with different stakeholders, such as management, clients and contextual solutions. Can listen actively and empathize with their needs and expectations. Able to articulate their data findings clearly and persuasively, using proper language, tone and format.
• Self-improving: Use your strengths to benefit yourself and your team, and work on improving your areas of weakness.
• Meticulous: Can ensure the accuracy and completeness of data by checking, verifying, and confirming it. Also, able to document data processes and methodologies in a clear and consistent manner.

Qualifications and Experience

• Minimum Qualification – A tertiary qualification in a quantitative field such as Data science, Computer science, Mathematics, Finance, or Business analytics.

• Experience:
• A minimum of 3 – 5 years’ relevant experience.
• Intermediate to advanced coding skills in SQL & SAS is essential for this role.
• Intermediate to advanced skills in PowerBI will be an added advantage.

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