Data Analyst at Mukuru

Duties and Responsibilities (Include but is not limited to):

• Work closely with stakeholders across all levels and business areas to elicit data & analysis requirements
• Translate requirements into reporting or data analysis specifications employing critical thinking to ensure alignment with the actual business need.
• Be the translator between Business, Product, and the Data teams on data needs
• Interview subject matter experts and shadow workflows to build an understanding of our data collection and logging processes. In time, become an expert in our data.
• Specify, gather, clean, combine and aggregate data from disparate sources for data 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 data analysis to (not exhaustive):

1. Extract key insights and observations to influence/support business decisions and actions
2. Identify the core drivers/levers and segments that influence the movement of key metrics/KPIs
3. Identify gaps in existing business processes and product offerings and formulate recommendations to improve them
4. Measure the effectiveness of product launches and new business initiatives

• Design, build, and maintain reports to track and communicate KPIs and results from data 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
• Collect and apply feedback from business presentations, user training and peer review to continuously improve reporting and analysis solutions
• 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
• Help define and improve upon our analytics standards through participation within the community of practice, conducting peer reviews and contribution to internal documentation
• Identify data quality issues, their corresponding root cause and collaborate with business, product, and data teams to drive improvements in data hygiene
• Continuously upskill and stay abreast of new developments in Data Analysis & BI tools, methodologies, and applications

Key Requirements:

• Grade 12 or equivalent (Essential)
• Tertiary qualification in a quantitative field (includes but not limited to – Mathematics, Statistics, Engineering, Computer Science, Actuarial Science, Economics, Finance, Business Analytics)
• 4+ years working experience within Data Analytics or business intelligence (Essential)
• Strong verbal and written communication skills in English and understand how to share insights and analytical results to both technical and non-technical audiences.
• Knows how to work with stakeholders to gather Data & Analysis requirements and communicate findings
• Strong report/dashboard development and data visualization skills with modern BI tools (e.g., Power BI, Tableau, Qlik)
• Advanced SQL skills
• Advanced Excel skills
• R or Python programming for data analysis (desirable)
• Experience cleaning, assimilating, manipulating, and aggregating large data sets using SQL, R or Python or similar tools
• 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 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 priority items and able to stay focused under pressure
• Passionate about knowledge sharing
• Attention to detail
• Data modelling
• A/B testing