Job details
- 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 decision-making 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 Cross-Functional 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 data-driven 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: 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.
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