Yalelo Uganda
Data Analyst - Maternity Cover
Buikwe • Uganda
Victory Farms
Systems and App Developer
Homa Bay • Kenya
Closed for applications
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Sunculture
Senior Data Scientist
Nairobi • Kenya
Closed for applications
Profession (Agriculture, fishing, forestry, Mid-level)
Accounting, finance, banking, insurance,Agriculture, fishing, forestry, wildlife,Business, strategic management,Customer support, client care,Design, arts,Electrical engineering,Food, nutrition,Human resources,Information technology, software development, data,Manufacturing, operations, quality,Mechanical engineering,Medical, health,Project, program management,Research, academy,Sales, marketing, promotion,Security,Skilled, manual labor,Transportation, logistics, driving,
Industry (Information technology, software development, data, Mid-level)
Aeronautics,Agriculture, fishing, forestry,Automotive,Banking, microfinance, insurance,Computers, software development and services,Consulting, business support, auditing,Education, academic,Electronics,Energy, utilities, environment,Engineering, architecture,Finance & FinTech,Financial Services,Fitness, well-being and lifestyle,Health care, medical,Human resources, talent development, recruiting,Manufacturing,Non-profit, social work,Outsourcing, leasing,Restaurant, hospitality, travel,Telecommunications,Transportation, logistics, storage,
Seniority (Information technology, software development, data, Agriculture, fishing, forestry)
© Fuzu Ltd
Yalelo Uganda
Agriculture + 2 more
Description
Key Qualifications & Experience
- Bachelor’s degree in Statistics, Computer Science.
- At least 3+ years of relevant experience as a Data Analyst/Scientist/Engineer.
- Database management systems and the ETL (Extract, Transform, Load) framework.
- Comprehensive knowledge of Excel, SQL, PowerBI, D365 and Python is desirable.
- Understanding of business processes, best practices, data lifecycles, and standard operating procedures.
Responsibilities
SSOT, Data Analysis and Reporting:
- Collect, clean, and analyze Lake Ops, Processing, Cooperate Services & PSFU Data.
- Develop and maintain databases, ensuring data accuracy and integrity.
- Perform statistical analysis to identify trends, patterns, and anomalies.
- Work closely with the Lake Ops, Processing, Cooperate Services & PSFU teams to ensure Operational Optimization and Process Improvement.
- Provide data-driven insights to support Process refinement, Optimization and Collaborate in the development of Data Driven insights in respective Departments.
- Communicate complex data findings in a clear and understandable manner to Allocated Business Partners.
- Provide Data literacy Sessions to Business Partners where Applicable.
- Provide Data and Analytics Support where Applicable.
- Generate regular reports and dashboards to communicate key performance metrics to stakeholders.
- Identify and report on critical success factors and areas for improvement.
- Automate reporting processes to ensure timely delivery of insights.
- D&A Clerk dotted line reporting (Lake Ops Data Clerk) and Upskilling.
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