Commercial Analyst

Mukuru is on the lookout for a Commercial Analyst to bolster the Analytics capability within the Commercial team. The role is open to applicants from Cape Town, with remote work possible.

Mukuru is a Fintech business offering the emerging consumer access to affordable and reliable financial services. Our foundation is built on international money transfers - helping customers to move money into, out of, and around Africa. From this base we’ve grown to provide a broad range of services to answer a greater array of financial needs of our customers. The Commercial team is responsible for commercialisation of Mukuru’s entire financial service suite. If being part of one of Africa’s largest money transfer companies, enabling millions of people to remit vital support to their loved ones across the region appeals to you, then we want to hear from you

The Commercial Analyst role is embedded in the Commercial team and reports into theSenior Commercial Analyst. In this role, the Commercial Analyst will collaborate cross functionally to understand business problems and then build data driven solutions to solve them, having the opportunity to work across full spectrum of descriptive, diagnostic, predictive and prescriptive analytics. The role will be responsible for determining and effecting the most efficient competitive pricing strategies across a suite of products and geographies, to gain market share and achieve business goals.

Internal liaison takes place with all internal departments. External liaison takes place with third parties, as required.

**Duties and Responsibilities (include but not limited to)**:

- Work closely with stakeholders across all levels and business areas to elicit analysis requirements.
- Translate requirements into reporting or analysis specifications employing critical thinking to ensure alignment with the actual business need.
- Specify, gather, clean, combine and aggregate data from disparate sources for analysis and reporting needs.
- Profile and validate all data intended for use in reporting or analysis to ensure high data quality (accuracy, completeness, missing/invalid data correction, timeliness).
- Perform analysis to (not exhaustive):

- Extract key insights and observations to influence/support business decisions and actions
- Identify the core drivers/levers and segments that influence the movement of key metrics/KPIs
- Identify gaps in existing business processes and product offerings and formulate recommendations to improve them
- Measure the effectiveness of product launches and new business initiatives
- Design, build, and maintain reports to track and communicate KPIs and results from analysis activities.
- Build data visualizations to improve access and visibility into the content from all key reports and our data in general.
- Share insights and analysis results in written form and in business presentations.
- Train and support user community in the use of reports, BI tools, and the interpretation of analysis results.
- Proactively communicate the status (including blockers, risks, issues) and roadmap of the work assigned to you, with all affected stakeholders.
- Cultivate relationships and collaborate cross-functionally to shape, support, and execute on business and product goals.
- Identify data quality issues, their corresponding root cause and collaborate with business, product, and data teams to drive improvements in data hygiene.
- Perform duties listed above using, but not limited to, the skills, experience and analysis techniques outlined in the key requirements section below._

Key Requirements:

- Grade 12 or equivalent (Essential)
- Tertiary qualification (includes but not limited to - Finance, Economics, Statistics, Actuarial Science)
- Desired: studying towards a postgraduate qualification (CFA/CIMA/MBA)
- Strong verbal and written communication skills in English and understand how to share insights and analytical results to both technical and non-technical audiences.
- Experience working with stakeholders to gather Analysis requirements and communicate findings
- Desired: experience developing reports/dashboards with modern BI tools (e.g., Power BI, Tableau, Qlik)
- Desired: experience cleaning, assimilating, manipulating, and aggregating large data sets using Excel Power Query, SQL, R, Python or similar tools
- Advanced Excel skills
- Knowledge of data analysis techniques, such as time series analysis, scenario analysis, clustering & segmentation, regression, decision trees, forecasting, and interpretation & creation of probability distributions (proficiency in a few of these will suffice)
- Analytical and problem-solving skills
- Execution-oriented, and able to complete tasks independently

**Additional Skills/Experience**:

- Experience in Financial Services or Retail industry or high growth businesses
- Teamworking and collaboration
- Excellent organisational skills with ability to juggle many tasks without losing sight of the highest priorit