The ideal candidate is a team player who will be responsible for working with company data in various business areas. Specific responsibilities include reporting metrics, analyzing methodologies, suggesting operation improvements, and building proposal evaluations in a cross-functional environment.
Job Responsibilities :
- To analyse and identify strategic insights in collaboration with the operations, sales, and marketing teams to define key issues, evaluate opportunities, and develop actionable recommendations through a rigorous, data-driven process.
- Develop and implement regular reports on key performance metrics, including forecasting models and marketing campaign performance.
- Support the marketing, promotions, and sales teams in planning and structuring forecasts for supply and demand trends while measuring campaign and marketing effectiveness.
- Identify areas within the business that could enhance customer engagement, retention, and revenue growth to unlock sales opportunities or accelerate growth.
- Ensure that all reports and data are accurate, timely, and aligned with business objectives.
- Use data to identify slow-moving products and recommend markdowns, promotions, or other strategies to optimize product turnover.
- Assist with ad-hoc data analysis requests, including reporting and analysis to support strategic initiatives.
- Contribute to data-process documentation, ensuring that data insights and analysis methodologies are easily accessible and well-documented.
- To analyse sales trends and customer behaviour to identify opportunities for enhancing product assortment, pricing, and promotional strategies.
- Support various departments in functional and technical problem analysis related to day-to-day business operations.
Qualifications :
Bachelor\'s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Business Analytics.3 years of experience in Business Intelligence, Data Analytics, or a similar role.Advanced Excel skills (including VBA scripting, macros, array formulas, pivot tables, power queries, multi-data source integration, data cleansing methods, and charting / dashboard creation), with extensive experience in significant data validation, reconciliation, and management.Strong proficiency in data manipulation, analysis, and visualization using SQL, Tableau, or Power BI tools.Excellent problem-solving and critical thinking skills, with the ability to interpret data and derive meaningful insights.Experience analysing data in the Fast-Moving Consumer Goods (FMCG) sector is a plus.Strong communication skills to effectively present data-driven recommendations to stakeholders.Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
AnalystIndustries
Consumer Services#J-18808-Ljbffr