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Unwanted Witness Uganda
Kampala, Uganda
Closing: Dec 13, 2023
4 days remainingPublished: Nov 30, 2023 (9 days ago)
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The Commercial Data Analyst is a key team member working across multiple departments of the EEA Uganda team and participates in the management of the company's activity based on the study of numerical data. The role will be responsible for empowering decision makers with real-time and right-sized data insights and recommendations to improve sales, CX, and broader business strategy. This role requires a keen ability to work cross-functionally with different teams and key global functions including Marketing, CX, Customer Finance, Product, Software & Data, Corporate Finance and others to develop and maintain strong business and technology relationships, becoming a trusted partner to all stakeholders.
The right candidate will be analytical, curious, and having a passion for solving problems through a data-driven, customer-centric approach. Ideally, you would combine your analytical capability with a background in commercial strategy, especially with pricing, customer segmentation and customer value management. Your work will make a meaningful impact by enabling EEA to stay accountable to our results, to better manage business performance, and to continuously innovate as we seek to go after our consolidated sales, active customer, revenue, and EBITDA targets.
Requirements
• Bachelors’ degree or higher in a quantitative subject such as Math, Statistics, Economics, etc.
• At least 2 years’ work experience in fields such as in data analysis, statistics, financial analysis, business analysis, or similar, particularly in sectors like retail financial services or telecommunications.
• Exceptional analytical skills and ability to synthesize and interpret qualitative and quantitative data into practical strategy recommendations.
• Experienced building clear and insightful data visualizations with tools like (MS Excel, Tableau, Power BI, D3, ggplot, etc.),
• Able to build advanced queries using PostgreSQL, and comfortable with basics of with database management and data engineering
• Demonstrated ability working across teams and functions on technical project.
• Keen eye for detail and thoughtful investigation of data before relying upon it.
• Skilled in project management, with an exceptional ability to collaborate, influence, and execute against strategy.
• Exceptional judgement, problem-solving skills, and ability to “Think Big & Make it Happen” both independently and collaboratively.
• Excitement about EEA’s mission and a deep desire to make an impact on off-grid and financially underserved customers in sub-Saharan Africa.
• Interpersonal communication skills.
The Commercial Data Analyst is a key team member working across multiple departments of the EEA Uganda team and participates in the management of the company's activity based on the study of numerical data. The role will be responsible for empowering decision makers with real-time and right-sized data insights and recommendations to improve sales, CX, and broader business strategy. This role requires a keen ability to work cross-functionally with different teams and key global functions including Marketing, CX, Customer Finance, Product, Software & Data, Corporate Finance and others to develop and maintain strong business and technology relationships, becoming a trusted partner to all stakeholders.
The right candidate will be analytical, curious, and having a passion for solving problems through a data-driven, customer-centric approach. Ideally, you would combine your analytical capability with a background in commercial strategy, especially with pricing, customer segmentation and customer value management. Your work will make a meaningful impact by enabling EEA to stay accountable to our results, to better manage business performance, and to continuously innovate as we seek to go after our consolidated sales, active customer, revenue, and EBITDA targets.
Requirements
• Bachelors’ degree or higher in a quantitative subject such as Math, Statistics, Economics, etc.
• At least 2 years’ work experience in fields such as in data analysis, statistics, financial analysis, business analysis, or similar, particularly in sectors like retail financial services or telecommunications.
• Exceptional analytical skills and ability to synthesize and interpret qualitative and quantitative data into practical strategy recommendations.
• Experienced building clear and insightful data visualizations with tools like (MS Excel, Tableau, Power BI, D3, ggplot, etc.),
• Able to build advanced queries using PostgreSQL, and comfortable with basics of with database management and data engineering
• Demonstrated ability working across teams and functions on technical project.
• Keen eye for detail and thoughtful investigation of data before relying upon it.
• Skilled in project management, with an exceptional ability to collaborate, influence, and execute against strategy.
• Exceptional judgement, problem-solving skills, and ability to “Think Big & Make it Happen” both independently and collaboratively.
• Excitement about EEA’s mission and a deep desire to make an impact on off-grid and financially underserved customers in sub-Saharan Africa.
• Interpersonal communication skills.
• Monitor on an ongoing basis performance against key Commercial, CX, and other agreed metrics across EEA Uganda, identifying improvement opportunities.
• Deliver strategic analyses of the data, establish recommendations and action plans.
• Ad-hoc and project related analytics and performance insights.
• Generate regular reports in a sustainable and efficient way.
• Collaborate with data scientists, analysts, and engineers to ensure and improve data availability, integrity, accuracy, and reliability.
• Design, develop and own interactive Tableau dashboards to track key performance indicators and data trends to enable EEA Uganda monitor the business efficiently.
• Provide support on broader analytical needs of the EEA Uganda team, including analysis of pilots, interventions, sales operations or field research work.
• Work closely with other stakeholders and data users across the company to create and maintain controls systems and review standards which ensure data quality and prevent discrepancies.
• Any other tasks assigned by Management.
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