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UNEP
Data Analytics And Artificial Intelligence Intern
Nairobi • Kenya
Profession
Accounting, finance, banking, insurance,Administrative, clerical,Agriculture, fishing, forestry, wildlife,Business, strategic management,Construction,Customer support, client care,Design, arts,Electrical engineering,Energy, power,Engineering, architecture,Food, nutrition,General management, leadership,Government, community development, public services,Human resources,Information technology, software development, data,Installation, maintenance, repair,Legal,Manufacturing, operations, quality,Mechanical engineering,Media, communications, languages,Medical, health,Project, program management,Research, academy,Restaurant, hospitality, travel,Sales, marketing, promotion,Security,Skilled, manual labor,Sports, beauty, wellbeing,Teaching, training,Telecommunications,Transportation, logistics, driving,
Industry (Information technology, software development, data)
Aeronautics,Agriculture, fishing, forestry,Banking, microfinance, insurance,Computers, software development and services,Education, academic,Electronics,Energy, utilities, environment,Engineering, architecture,Finance & FinTech,Financial Services,Health care, medical,Housekeeping, maintenance,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)
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Takataka Solutions
Housekeeping + 1 more
Description
Requirements:
- Degree in a relevant field such as Actuarial Science, Information and Data management Systems, or Accounting.
- At least 1-2 years of experience in data management and information systems.
- Experience with data management software and tools (e.g., Sheets, ERP systems)
The interested candidate should understand:
- Data entry and basic data flows
- Data analysis and reporting
- Quality control
- Company's business operations.
- Stock take
Responsibilities
- Ensure the accuracy, completeness, and timeliness of data entry into designated databases or information systems for each shift
- Regularly check for quality deviations of sorted products and communicate issues immediately to the team leader
- Fill scale checklists daily and follows up with team lead and maintenance to repair within timelines
- Fill daily the board to visualize the MRF performance.
- Create a weekly Variance report of recyclables sorted vs. recyclables baled
- Retrieve specific data from the database systems as requested and conduct data validation
- Follow up on spotted data inconsistencies to optimize accurate recording.
- Implement corrective measures and validation procedures to improve data accuracy and reliability
- Support team leads in quality control—at the conveyors and at the lines
- Support management team on wide range of data-handling requests
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