Junior Data Analyst

Job description

Job Title: Junior Data Analyst (Executive Grade)

Location: Corporate Office – Colombo 3

Department: Strategic Planning / Information Technology (Dual reporting)

Reports To: Head of Strategic Planning / Chief Information Officer (Dual Reporting)

MAKING SRI LANKA SELF- SUFFICIENT IN DAIRY

Pelwatte Dairy Industries Limited is a leading dairy company in Sri Lanka, committed to producing high-quality dairy products using 100% locally sourced milk. Established in 2006, Pelwatte Dairy has grown to become a trusted household name in the industry, known for its innovation, quality, and sustainable practices. Pelwatte Dairy is dedicated to supporting local farmers and contributing to the growth of Sri Lanka’s agricultural sector. Pelwatte Dairy is striving to enrich the lives of its consumers and the community

Job Summary: We are seeking a detail-oriented Junior Data Analyst to join our team in Pelwatte Dairy. The ideal candidate will assist in collecting, analysing, and interpreting data to help improve our production processes, supply chain management, and overall business performance.

Key Responsibilities:
• Data Collection and Analysis: Gather data from various sources, including production reports, sales data, and market research.
• Data Cleaning and Validation: Ensure data accuracy by cleaning and validating datasets.
• Statistical Analysis: Use statistical techniques to analyze data and generate insights.
• Reporting: Create regular reports and dashboards to present findings to management.
• Trend Identification: Identify trends and patterns in data to support decision-making.
• Collaboration: Work closely with different departments to understand their data needs and provide relevant insights.
• Process Improvement: Identify opportunities for process improvements based on data analysis.

Qualifications:
• Education: Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
• Experience: Previous experience in data analysis or a related field is preferred. 2-3 Years working experience.
• Skills:
• Proficiency in data analysis tools (e.g., Excel, SQL, Python, R).
• Strong analytical and problem-solving skills.
• Excellent communication skills to present data insights clearly.
• Attention to detail and accuracy.
• Ability to work collaboratively in a team environment.

Preferred Qualifications:
• Experience in the dairy or food industry.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).

Benefits:
• Competitive salary
• Health and Medical insurance
• Professional development opportunities

For a Junior Data Analyst in the dairy industry, the most important skills include:
• Data Analysis Tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for analyzing and interpreting data.
• Statistical Techniques: Understanding and applying statistical methods to derive insights from data.
• Data Cleaning and Validation: Ensuring data accuracy by cleaning and validating datasets.
• Analytical and Problem-Solving Skills: Ability to analyze complex data sets and solve problems based on findings.
• Communication Skills: Presenting data insights clearly and effectively to stakeholders.
• Attention to Detail: Ensuring accuracy in data analysis and reporting.
• Collaboration: Working well with different departments to understand their data needs and provide relevant insights.
• Data Visualization: Knowledge of tools like Tableau or Power BI to create visual representations of data.

A Junior Data Analyst in the dairy industry should be familiar with the following tools:
• Excel: For data manipulation, analysis, and visualization.
• SQL: For querying databases and managing large datasets.
• Python or R: For advanced data analysis, statistical modeling, and automation.
• Tableau or Power BI: For creating interactive and insightful data visualizations.
• Google Analytics: For analyzing web traffic and user behavior (if relevant to the role).
• SAS or SPSS: For statistical analysis and data management.
• Microsoft Access: For database management and reporting.
• Jupyter Notebooks: For documenting and sharing data analysis workflows.
• SAP & ORACLE ERPS

Typical Key Performance Indicators (KPIs) for a Junior Data Analyst in the dairy industry might include:
• Data Accuracy: Percentage of data entries that are accurate and error-free.
• Data Processing Time: Average time taken to clean, validate, and analyze datasets.
• Report Timeliness: Percentage of reports delivered on or before the deadline.
• Insight Generation: Number of actionable insights generated from data analysis.
• Trend Identification: Frequency of identifying significant trends and patterns in data.
• Collaboration Efficiency: Number of successful collaborations with other departments.
• Visualization Quality: Quality and clarity of data visualizations created.
• Process Improvement: Number of process improvements suggested based on data analysis.