Background

In 1999, we introduced coffee drinking and gourmet café culture to Kenya. As we grew, we created more spots where people could enjoy the Java experience conveniently. Java House is on the move - we’re building branches and creating jobs all over East Africa, working to bring the Java experience closer to you. Our coffee houses would not be what th...

Duties & Responsibilities

Extraction and consolidation of data and publishing of reports as and when required in support of business decision making process

Leveraging of modelling techniques to identify, analyze and present actionable data to various teams

Continuous Sales performance review to be reported on an ongoing basis

Extract, Examine and report on key operations metrics on a periodic basis

Generate Monthly, Quarterly and Yearly KPI analysis for individual restaurants with details of any insights that the teams may need to focus on

Partner with finance and leadership to build restaurant performance forecasts and reports

Assist in developing financial feasibilities for prospective restaurant sites

Cost-benefit analysis of various strategy options fronted by the teams

Support restaurant teams by training them on report extraction and interpretation

Qualifications

A bachelor’s degree in data science, Finance Degree, CPA(K), Economics, , Statistics, Applied Math, Business Administration, or any other related field

Experience

The Data Analyst-Operations will also have had experience working in report creation, modeling, and trend forecasting. In addition, the role requires a keen understanding of P&L and accounting

Core Competencies

Communication Skills: Communication skills in both in written and verbal form. Draw reports for the departmental heads, management, and key stakeholders that are clear, convincing, informative, engaging, unambiguous, and uniquely tailored to suit different audiences

Computer Skills/MS Office/POS & Reporting Software: Possess exceptional computer skills and demonstrate proficiency in using MS Office for the creation of visually and verbally engaging reports

Analytical Skills: Demonstrate a deep interest in research and data analysis, drawing actionable insights form raw data and information to help further the business’s cause. Skilled in technological data mining and analysis techniques

Interpersonal Skills: Have an entrepreneurial mindset being willing to be accountable for the business’s performance, have exceptional attention to detail, have an ability to handle multiple tasks and meet tight deadlines, have creative and innovative problem-solving skills, be self-motivated and proactive, and demonstrate calmness during time of uncertainty and stress

People Skills: Data Analyst - Operations plays a very interactive role and to effectively execute their duties they must have a natural ability to get along with people and establish strong and meaningful relationships with others

• Extraction and consolidation of data and publishing of reports as and when required in support of business decision making process
• Leveraging of modelling techniques to identify, analyze and present actionable data to various teams
• Continuous Sales performance review to be reported on an ongoing basis
• Extract, Examine and report on key operations metrics on a periodic basis
• Generate Monthly, Quarterly and Yearly KPI analysis for individual restaurants with details of any insights that the teams may need to focus on
• Partner with finance and leadership to build restaurant performance forecasts and reports
• Assist in developing financial feasibilities for prospective restaurant sites
• Cost-benefit analysis of various strategy options fronted by the teams
• Support restaurant teams by training them on report extraction and interpretation

• Communication skills (written and verbal)
• Proficiency in MS Office
• Data mining and analysis techniques
• Report creation
• Modeling
• Trend forecasting
• Understanding of P&L and accounting
• Entrepreneurial mindset
• Attention to detail
• Ability to handle multiple tasks and meet tight deadlines
• Creative and innovative problem-solving skills
• Self-motivated and proactive
• Calmness during uncertainty and stress
• Ability to get along with people and establish strong relationships

• Bachelor’s degree in data science, Finance Degree, CPA(K), Economics, Statistics, Applied Math, Business Administration, or any other related field
• Experience working in report creation, modeling, and trend forecasting
• Keen understanding of P&L and accounting