Data Analyst at Kapa Oil

OBJECTIVES:

• To analyze and interpret company data, delivering actionable insights to support strategic decision-making and operational efficiency for Kapa Oil.

QUALIFICATIONS

• Bachelor's Degree in Mathematics, Economics, Computer science, Information system or Statistics.

EXPERIENCE

• Minimum of 4 years experience as a Data analyst

SKILLS/ KNOWLEDGE

• Strategic outlook
• Technical expertise in data models, database design development, data mining, and segmentation techniques.
• Proficiency with open source reporting packages like Superset, databases like SQL, SAP HANA, MY SQL, Python and programming languages like XML, SPSS, SAS, JavaScript, ETL frameworks, Power BI/Tableau.
• Meticulous in analyzing and validating data to ensure accuracy and reliability. Excellent Communicator: Can translate complex data into clear, concise insights for both technical and non-technical audiences.
• Team Collaborator: Engages effectively with cross-functional teams to understand and meet their data needs.
• Problem Solver: Adept at identifying business challenges through data and providing actionable solutions.
• Reports To
• Senior Management

KEY OUTPUTS / TASKS

• Data Analysis & Reporting:
• Create detailed reports and dashboards summarizing trends, patterns, and actionable insights across all company data streams.
• Deliver weekly and monthly insights that improve operational efficiency and enhance decision-making.

Performance Metrics:

• Identify and track KPIs across departments (sales, supply chain, production, and marketing).
• Provide real-time analysis of performance against targets and suggest corrective actions.
• Predictive Analytics:
• Utilize advanced statistical techniques and predictive modelling to forecast market trends, consumer behaviour, and internal operational needs. Deliver quarterly presentations on trends and forecasts to the management team.

Data Integrity & Management:

• Ensure the accuracy, consistency, and security of company data across systems.
• Collaborate with IT to develop and implement databases, data collection systems and analytics strategies to optimize statistical efficiency and quality

Stakeholder Collaboration:

• Work closely with department heads to understand their data requirements and provide tailored insights.
• Lead cross-functional training sessions to enhance data literacy within the organization.
• To locate and define new process improvement opportunities