Data Analyst

ABOUT THE COMPANY

AutoXpress is an East African market leading importer, distributor and retailer of tyres, auto parts and accessories offering an extensive range of repair and maintenance services through a well-established network of 50+ outlets across Kenya, Tanzania, Rwanda, Uganda and Zambia.

Vision:

To become the market leader in the Eastern African region in the sales of auto parts, accessories and servicing of vehicles.


Mission:

To deliver to our customers fast, efficient and truly superior service with an identifiable difference.
To provide the appropriate product range for our customers.
To employ, train and retain the very best human resource available.
To utilize accurate processes and systems.

JOB SUMMARY

We operate in a data-rich environment, with many complex datasets covering our customers, transactions, financials, marketing activities, workshops and many more. As we continue to expand, we are looking for a talented analyst to join our team. We are looking for someone who can use data to generate actionable insights to improve business outcomes (e.g., customer satisfaction, profitability, ROI of marketing campaigns).

RESPONSIBILITIES

Data Collection and Preparation:Data Gathering: Collect, organise, and clean data from various sources, includingdatabases, spreadsheets, and external data sets.Data Validation: Ensure data accuracy, consistency, and completeness by performingvalidation checks and data cleaning as needed.Data Integration: Integrate data from different sources to create comprehensivedatasets for analysis. Data Analysis and Insights:Analysis Planning: Work with stakeholders to define the objectives of data analysis andcreate analysis plans.Statistical Analysis: Apply statistical techniques to analyze data, identify trends, and draw meaningful conclusions.Trend Identification: Identify patterns and trends within the data that can inform business decisions.Predictive Modelling: Build and implement predictive models to forecast future trends oroutcomes.Actionable insights: Use analysis to generate actionable insights that can improve  business outcomes and decision making Reporting:Develop visually compelling data visualizations and reports to convey insights to non-technical stakeholders.Be able to generate and distribute reports, dashboards, and key performance indicators (KPIs) to relevant stakeholders.Qualifications and Skills:Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.Minimum 3 years of experience as a Data Analyst or in a similar roleProficiency in data analysis tools such as SQL, Python, R, Excel, etc.Strong analytical and problem-solving skills.Excellent communication and presentation abilities.Ability to work with large datasets and derive meaningful conclusions.Attention to detail and a proactive mindset towards data analysis.Experience with data visualization tools is a plus.

REQUIRED SKILLS

Python, Machine Learning (ML), Database query languages (SQL, others), Business intelligence, Big data and data analytics

REQUIRED EDUCATION

Bachelor's degree