Data Analyst Job in Kenya

Role title: Senior Data Analyst

Location: Nairobi

Job Description

Bidhaa Sasa is a
women-focused start-up that uniquely combines financing and last-mile
distribution of modern household goods in a one-stop shop for the rural areas.
We make technology goods, such as solar systems or efficient cookstoves, both
accessible and affordable by offering consumer financing to the under-served
and unbanked.

We deliver life improving products to our clients’ doorsteps
while making all products payable in affordable instalments and with mobile
money. We sell our products through groups that are recruited and managed by
women leaders in the rural heartlands of Kenya. Since our humble beginnings in
2015, we have reached over 80,000 clients and are expanding our reach further
with new locations in Kenya and soon in Uganda.

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.

Responsibilities

1. Data analysis
and exploration

  • Guide and inspire Bidhaa Sasa about the business’
    data-driven potential and strategy of data science, identify business
    opportunities and collaborate with the different business units.

  • 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 of a particular
    product are women. Repayments are great. Are repayments great because
    women buy them – they indeed have a better payment “morale” – or because
    the product saves more money than others? If fact, given that 90% of
    clients for that products are well-paying women, is the repayment for that
    product in fact bad even though it looks good?). 

2. Team management,
collaboration and training

  • Bring best practices from other industries to
    build the company’s data analytics capabilities and grow the team, quickly
    adding new responsibilities,

  • 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 optimising key business processes.

3. Database integration
and capability expansion

  • 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.

Qualifications

  • You hold an advanced university
    degree/post-graduate qualification in maths, statistics, physics or
    similar. Don’t apply if you’ve forgotten your 101 statistics lessons;

  • 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;

  • You are certainly a “numbers person” i.e. possess
    in-depth analytical skills. You enjoy exploring data to draw insights and
    you’re in for some data nerdy debates with an ex-CERN particle physicist.
    But you also enjoy mentoring and growing staff (you will be coaching a
    team of analysts hungry to grow and excel);

  • 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); and a working knowledge of
    programming with Python or R or an equivalent and relevant language
    (although we believe that the tool itself is less important than knowing
    how to use it);

  • Experience with SalesForce or Tableau is an added
    advantage.

How to apply

Click here to apply

  • This is a re-advertisement. If you have previously
    applied, you don’t need to reapply.

  • Given the current pandemic, we can
    consider candidates who prefer to work fully remotely
    , although we
    would have a preference for candidates in Nairobi or willing to relocate
    to Nairobi in the medium term. We’re looking for a minimum commitment for
    2 years.

  • Applications will be reviewed on a rolling basis
    until the position is filled

  • Only shortlisted candidates will be contacted

  • Monthly remuneration dependent on experience

NB: Bidhaa Sasa does not
charge any fees for recruitment.

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