Data Analyst
2025-05-29T11:40:58+00:00
Adept Systems
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_7948/logo/adept.jpeg
https://adeptsystems.co.ke/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Consulting
Admin & Office
2025-06-06T17:00:00+00:00
Kenya
8
Adept Systems is a Kenyan company established in 1994, providing a full range of management consultancy services in the areas of human resources
The Data Analyst will transform raw data into actionable insights that enhance efficiency, reduce costs, and support strategic decision-making. The incumbent will analyze operational data, identify trends, and collaborate with cross-functional teams to optimize processes.
Key Responsibilities
- Analyze production, quality control, and supply chain data to identify inefficiencies and improvement opportunities.
- Develop real-time dashboards (Power BI/Tableau) to track KPIs such as output rates, defect trends, and resource utilization.
- Conduct root-cause analysis for production bottlenecks, downtime, or waste.
- Collaborate with engineering, operations, and finance teams to align data insights with business objectives.
- Conduct predictive maintenance initiatives using historical equipment performance data.
- Ensure data accuracy across ERP, MES, and manufacturing systems.
- Prepare reports and presentations that communicate findings to stakeholders.
Education, Qualifications & Experience required
- Bachelor’s degree in Computer Science, Economics, Statistics, or related field.
- 4+ years in data analysis, preferably in manufacturing, supply chain, or industrial settings.
- Proficiency in SQL, Python/R, Advanced Excel (pivot tables, Power Query) and BI tools (Power BI, Tableau).
- Experience with manufacturing data sources (ERP systems like SAP, Oracle).
- Knowledge of statistical analysis and predictive modelling.
Key skills and competencies
- Excellent communication skills, with the ability to communicate technical information to non-technical stakeholders
- Strong problem-solving skills, with the ability to identify and mitigate risks associated with process improvement projects
- Ability to work collaboratively in a team-oriented environment
- Adaptable and open to learning new tools and methodologies
Analyze production, quality control, and supply chain data to identify inefficiencies and improvement opportunities. Develop real-time dashboards (Power BI/Tableau) to track KPIs such as output rates, defect trends, and resource utilization. Conduct root-cause analysis for production bottlenecks, downtime, or waste. Collaborate with engineering, operations, and finance teams to align data insights with business objectives. Conduct predictive maintenance initiatives using historical equipment performance data. Ensure data accuracy across ERP, MES, and manufacturing systems. Prepare reports and presentations that communicate findings to stakeholders.
Excellent communication skills, with the ability to communicate technical information to non-technical stakeholders Strong problem-solving skills, with the ability to identify and mitigate risks associated with process improvement projects Ability to work collaboratively in a team-oriented environment Adaptable and open to learning new tools and methodologies
Bachelor’s degree in Computer Science, Economics, Statistics, or related field. 4+ years in data analysis, preferably in manufacturing, supply chain, or industrial settings. Proficiency in SQL, Python/R, Advanced Excel (pivot tables, Power Query) and BI tools (Power BI, Tableau). Experience with manufacturing data sources (ERP systems like SAP, Oracle). Knowledge of statistical analysis and predictive modelling.
JOB-683847ca2cbc9
Vacancy title:
Data Analyst
[Type: FULL_TIME, Industry: Consulting, Category: Admin & Office]
Jobs at:
Adept Systems
Deadline of this Job:
Friday, June 6 2025
Duty Station:
Nairobi | Nairobi | Kenya
Summary
Date Posted: Thursday, May 29 2025, Base Salary: Not Disclosed
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JOB DETAILS:
Adept Systems is a Kenyan company established in 1994, providing a full range of management consultancy services in the areas of human resources
The Data Analyst will transform raw data into actionable insights that enhance efficiency, reduce costs, and support strategic decision-making. The incumbent will analyze operational data, identify trends, and collaborate with cross-functional teams to optimize processes.
Key Responsibilities
- Analyze production, quality control, and supply chain data to identify inefficiencies and improvement opportunities.
- Develop real-time dashboards (Power BI/Tableau) to track KPIs such as output rates, defect trends, and resource utilization.
- Conduct root-cause analysis for production bottlenecks, downtime, or waste.
- Collaborate with engineering, operations, and finance teams to align data insights with business objectives.
- Conduct predictive maintenance initiatives using historical equipment performance data.
- Ensure data accuracy across ERP, MES, and manufacturing systems.
- Prepare reports and presentations that communicate findings to stakeholders.
Education, Qualifications & Experience required
- Bachelor’s degree in Computer Science, Economics, Statistics, or related field.
- 4+ years in data analysis, preferably in manufacturing, supply chain, or industrial settings.
- Proficiency in SQL, Python/R, Advanced Excel (pivot tables, Power Query) and BI tools (Power BI, Tableau).
- Experience with manufacturing data sources (ERP systems like SAP, Oracle).
- Knowledge of statistical analysis and predictive modelling.
Key skills and competencies
- Excellent communication skills, with the ability to communicate technical information to non-technical stakeholders
- Strong problem-solving skills, with the ability to identify and mitigate risks associated with process improvement projects
- Ability to work collaboratively in a team-oriented environment
- Adaptable and open to learning new tools and methodologies
Work Hours: 8
Experience in Months: 48
Level of Education: bachelor degree
Job application procedure
Submit your CV and Application on Company Website : Click Here
Closing Date : June 6, 2025
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