Data Analyst

About the Role

Our client is seeking a highly analytical and proficient Data Analyst to join their growing team in Cambridge . This role is pivotal in extracting, transforming, and analyzing complex datasets to provide actionable insights that drive business decisions across their FMCG operations. You will work with large volumes of data from sales, marketing, and supply chain, identifying trends, creating reports, and developing dashboards to visualize key performance indicators. This is an excellent opportunity for a data enthusiast to make a significant impact on strategy and operations within a leading FMCG company, utilizing cutting-edge analytical tools.

Key Responsibilities

• Collect, clean, and transform data from various sources for analysis.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) for stakeholders.
• Perform in-depth analysis of sales, marketing, and operational data to identify trends, patterns, and insights.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Ensure data integrity and accuracy throughout all analytical processes.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Proven experience as a Data Analyst , with experience working with large datasets.
• Proficiency in data analysis tools such as SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent communication and presentation skills, capable of translating data into business insights.

Benefits

• Competitive salary and potential for performance-based bonuses.
• Comprehensive health insurance and retirement savings plan.
• Generous paid time off and flexible working hours.
• Access to training and development resources for continuous learning in data analytics.
• A dynamic and innovative work environment in the intellectually stimulating city of Cambridge .