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,Design, arts,Electrical engineering,Food, nutrition,Human resources,Information technology, software development, data,Manufacturing, operations, quality,Mechanical engineering,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,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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