Data Analyst Full Time

Reports to: Finance Manager

Industry: Manufacturing

Location: Githunguri

Githunguri Dairy Farmers Co-operative Society Ltd plays a key role in marketing of its member’s milk which is processed and packed in form of pouch packed fresh milk, Tetra Classic fresh milk, lala, butter, ghee and cream under the flagship of “Fresha Dairy Products”.

Githunguri Dairy Farmers Co-operative Society Ltd vision is to be a world class producer of dairy brands while the Mission is to offer high quality dairy brands to our consumers efficiently for stakeholder’s value maximization.

Job Role: 

To ensure that raw data is transformed into structured information and analyzed to provide glean insights that drive strategic decision making in business

Duties and Responsibilities; 

• Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
• Capable of critically evaluating data to derive meaningful, actionable insights.
• Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
• Ensure that data is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions
• Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors
• Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems.

Minimum qualifications, experience and competencies: –

• Bachelor degree in Data Science or any other related discipline
• At least 2 years’ experience in data analysis (FMCG will be an added advantage 
• Must possess a solid foundation in statistics and practical experience with visualization tools and data analysis languages including but not limited to SQL, Python, Advanced Excel, Power BI, Tableau, R software 
• Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
• Capable of critically evaluating data to derive meaningful, actionable insights.
• Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.