Summary
Date Posted: Tuesday, May 12, 2020 , Base Salary: Not Disclosed

JOB DETAILS:
Bidhaa Sasa ("Products Now"​ in Swahili) is a lean start-up based in Bungoma County in Kenya. It distributes and finances goods to rural households providing services to otherwise under-served communities. Bidhaa Sasa focuses on goods and services that improve the quality of life for rural families. Goods include solar lamps, solar home systems, small appliances, efficient cook stoves and LPG. All products can be bought with payment plans and are delivered and installed at our clients homes. We also cover after-sale services like maintenance and management of the goods'​ warranties. Bidhaa Sasa launched its commercial operations in May 2015 from Webuye, Western Kenya.
About the role
We are looking for a naturally curious person and problem solver to take ownership of all company data and its analysis. In addition, coach and mentor a team of existing analysts hungry to learn and grow their capabilities.
As a company we are completing an IT systems migration, which will centralise commercial and non-commercial data allowing for a deeper analysis. The Senior Data Analyst will report directly to one of the co-founders and will work closely with the rest of the senior management team to extract value from business data using advanced analytical methods and tools.
The hire will derive knowledge and insights from both structured and unstructured data using statistical, algorithmic, mining and visualisation techniques, for example together with the IT admin build business intelligence dashboards for various levels of the organisation. Over time, the hire is expected to grow their skills and move from descriptive and diagnostic to more predictive and prescriptive analysis, using more advanced data mining and machine learning techniques to make business predictions and optimisations, for example stock forecast or route optimisation.
The hire will supervise and further develop capacity of a team of existing business analysts who interface between the different business units and the analysis and reporting of different data sets, from sales to household impact to logistics data. .

Key responsibilities of the role are:
Database integration and capability expansion (approximately 50%).
• Understand existing and new data sources, Improve the design of existing and future databases and optimise the way data is collected, stored and displayed
• Review and manage data management projects and their KPIs for success. For example, further automation and intelligence upgrades of our data systems environment, such as auto generated restocking reminders based on demand forecasts. These projects would be managed in conjunction with external IT experts.
2. Data analysis and exploration (25%).
• Apply statistical and visualisation techniques to derive insights, solve business problems, generate new hypotheses about the underlying mechanics of business processes and test these hypotheses using quantitative methods. (For example, 90% of customers for a particular product are women. Repayments are great. Are repayments great because women buy them (they generally have a better payment morale) or because the product saves more money than others?)
• Guide and inspire Bidhaa Sasa about the business’ potential and strategy of data science, identifying business opportunities and collaborating with the different business units.
3. Team management, collaboration, training and coaching (25%).
• Supervise an existing team of junior analysts in their own domain; this includes continually evaluating them and conducting their performance reviews,
• Grow their talent and develop their analytical skills to enhance how we are using data for measurement of business KPIs and decisions,
• Work collaboratively with Business Support and Logistics teams with the aim of optimizing key business processes.

Our culture -
We are the right organization for you if:
• You believe in the potential of rural communities to improve their family's lives and are eager to ensure everyone has an equal part in Kenya's development. We put the client at the centre of all our decisions and actions.
• You enjoy the thrill of start-up life, where we fail and learn from it, where things change fast, and every day brings new challenges. We are a small team working tirelessly to achieve something that has not been done before!
• You are excited about working in a multicultural environment, where we have open communication channels, are transparent about challenges and mistakes, learn from each other and respect and leverage our diversity to make the business work.
• You want your ideas to be heard and participate in business strategy: Our team is collaborative and supportive. We listen to insights from the field, because we know that otherwise we can't succeed.

Who we are looking for:
• You are a naturally curious person, problem solver, quick learner and someone who enjoys “breaking the mould”;
• You have a minimum of five (5) years' work experience as a data analyst in a business environment or prestigious academic environment; with at least two (2) years of team management experience (outside of an individual contributor role);
• You are certainly a “numbers person” i.e. possess in-depth analytical skills and enjoy exploring data to draw insights AND you enjoy mentoring and growing staff (you will be coaching a team of analysts hungry to grow and excel);
• You hold an advanced university degree/post-graduate qualification in maths, statistics, physics, computer science, big data, economics, engineering or equivalent;
• You have experience in advanced data analysis tools (you’ve definitely outgrown Excel, in which you are more than fully proficient, and use SQL frequently);
• You have working knowledge of programming with Python or R or an equivalent and relevant language;
• Experience with SalesForce and Tableau is an added advantage.

Job Education Requirements: Not Specified

Job Education Experience: Not Specified

Work Hours: 8

{module 312}

Job application procedure
  click here to apply

All Jobs

QUICK ALERT SUBSCRIPTION

{module 316}