Data Collection & Management:
- Gather and organize data from various sources such as sales market research consumer feedback and social media.
- Ensure the data collected is accurate reliable and relevant to business needs.
Data Analysis & Reporting:
- Analyse large datasets to identify trends patterns and insights that support decisionmaking in areas like product development marketing strategies and sales performance.
- Create and maintain dashboards reports and visualisations to communicate key insights effectively to stakeholders.
Sales and Market Trend Analysis:
- Monitor sales data to identify growth opportunities track product performance and highlight areas of concern.
- Provide regular analysis of market trends competitor activities and consumer preferences to support strategic decisions.
Forecasting & Predictive Analytics:
- Assist in demand forecasting and inventory planning using historical sales data and advanced analytics.
- Use predictive models to identify future trends and opportunities contributing to proactive business planning.
Collaboration with CrossFunctional Teams:
- Work closely with marketing sales and supply chain teams to understand business needs and provide actionable insights.
- Support the development and execution of business strategies by providing datadriven recommendations.
Process Improvement:
- Identify opportunities for process optimization within the data collection analysis and reporting workflows.
- Ensure efficient data handling and reporting processes to reduce manual effort and improve accuracy.
Requirements
Education: Bachelor s degree in Data Science Statistics Business Analytics Economics or related field.
Experience: 24 years of experience in data analysis preferably in FMCG or retail industries.
Strong proficiency in data analysis tools (Excel SQL Python R etc.).
Experience with data visualisation tools (Power BI Tableau etc.).
Solid understanding of FMCG industry trends and consumer behaviour analysis.
Strong analytical thinking and problemsolving skills.
Ability to present complex data insights in a clear concise manner to stakeholders.
Experience with forecasting and demand planning is a plus.
Excellent verbal and written communication skills to present findings to nontechnical stakeholders.
Education: Bachelor s degree in Data Science, Statistics, Business Analytics, Economics, or related field. Experience: 2-4 years of experience in data analysis, preferably in FMCG or retail industries. Strong proficiency in data analysis tools (Excel, SQL, Python, R, etc.). Experience with data visualisation tools (Power BI, Tableau, etc.). Solid understanding of FMCG industry trends and consumer behaviour analysis. Strong analytical thinking and problem-solving skills. Ability to present complex data insights in a clear, concise manner to stakeholders. Experience with forecasting and demand planning is a plus. Excellent verbal and written communication skills to present findings to non-technical stakeholders.