Job Vacancy: Business Data Analyst (BDA)
Our client, Kenya Tea Packers Ltd (KETEPA) has been the leading
tea blending, packaging and distribution company in Kenya for 44 years with
added capability to undertake custom branding and contract packaging.
Due to their continued growth and success, they are seeking to
recruit highly competent and outstanding individuals to fill the Business Data
Analyst position.
Job Purpose: Identify and study
key business data, statistics both internal and external from respective
departments and help the Head of Sales & Distribution understand the impact
of the current Sales, Marketing and Distribution strategies
Reports to: Head of Sales and Distribution
Location: Nairobi
Duties and Responsibilities
· Analyse sales data both
internal and external and reporting the same to the Head of Sales &
Distribution to identify trends and performance.
· Monitor and share daily
report on Iscala, BI, SFA,Fleet Management system, Route plans and validate the
itineraries, claims as per the approved route plans
· Provide demand sciences
work within the regions, ensuring it is in alignment with company initiative.
· Provide forecasts to the
Head of Sales & Distribution and other relevant departments.
· Collect test platform
forecast and budget from relevant departments/managers for analysis
· Actively participate and
support the transition of demand planning into sales culture.
· Develop, implement, and
maintain leading-edge analytic systems, taking complicated problems and
building simple frameworks.
· Apply statistical and
visualization techniques to derive insights, solve business problems, generate
new hypotheses about the underlying mechanics of business processes, and test
these hypotheses using quantitative methods.
· Understand existing and
new data sources in KETEPA.
· Identify trends and
opportunities for growth through analysis of complex data sets.
· Evaluate organizational
methods and provide source-to-target mappings and information-model
specification documents for data sets.
· Create best-practice
reports based on data mining, analysis, and visualization.
· Evaluate internal
systems for efficiency, problems, and inaccuracies, developing and maintaining
protocols for handling, processing, and cleaning data.
· Work directly with
management and users to gather requirements, provide status updates, and build
relationships.
· Work closely with Head
of Sales and Heads of Department to understand and maintain focus on their
analytical needs, including identifying critical metrics and KPIs, and deliver
actionable insights to relevant decision-makers
· Proactively analyze data
to answer key questions from stakeholders or out of self-initiated curiosity
with an eye for what drives business performance, investigating and
communicating areas for improvement in efficiency and productivity
· Create and maintain rich
interactive visualizations through data interpretation and analysis integrating
various reporting components from multiple data sources.
Key Result Areas:
The accountability areas are as follows;
· Timely and accurate
reports to Head of Sales & Distribution.
· Identification and
capitalization of key improvement areas
· Efficient cost-effective
use of company resources.
· Effective support to the
Head of Sales & Distribution on demand sciences.
· Timely sales forecast
· Effective demand
forecasting.
· Any other duty as may be
required
Skills and
Qualifications:
The job holder must possess;
· Bachelor’s degree in
Mathematics, Computer Science, Economics, or Statistics
· Academic and/or
professional qualifications in Sales & Marketing will be an added advantage
· Three (3) years’
experience as a market data analyst or similar statistical analytics role
· More than basic computer
knowledge
· Proven analytic skills,
including mining, evaluation, analysis, and visualization
· Technical writing
experience in relevant areas, including queries, reports, and presentations
· Strong SQL or Excel
skills with the ability to learn other analytic tools.
· Practical experience in
statistical analysis through the use of statistical packages including Excel,
SPSS, and SAS
· Prior Experience with
Business Intelligence Tools (Qlik, Power Bi, Tableau)
· Proven success in a
collaborative, team-oriented environment
· Proven experience with
sales force automation software will be a plus.
· Proven experience in
creating dashboards with the data source being any ERP system
· Proven experience with
Python or R programming languages desired but not a must.
· Ability to work well
under pressure, working accurately with attention to detail and meeting
deadlines
How to Apply:
Applicants who meet the requirements stated above should send
their updated CV and cover letter (indicating why you feel you would be a good
fit) with a day –time Telephone number to the email address: jobs@hcsafrica.com
with Business Data Analyst on the Subject line.
Only shortlisted will be contacted