Senior Data Analyst - Westville at RCL Foods

Minimum Requirements    

• Bachelor's Degree in Engineering, Statistics, Business Analytics, Computer Science, or a related field.
• Minimum of 2-4 years’ data & analytics experience in the FMCG or Retail industry.
• Strong understanding of data analysis concepts and techniques.
• Proficiency in using data analysis tools such as SQL, and at least one data visualization tool (Power BI, Tableau, etc).
• Excellent communication and presentation skills.

Duties & Responsibilities    

Data Analytics:

• Work with the business to identify analytics requirements and use cases.
• Unpack & document business requirements, work with the Data Analytics team on solutions. Identify sources of data, creating a brief for technical teams and developing an overall timeline. 
• Data Collection: Identifying and gathering data from various sources like databases, surveys, and web logs.
• Data Cleaning: Ensuring data accuracy and completeness by addressing inconsistencies, missing values, and outliers.
• Data Transformation: Formatting and restructuring data for analysis using tools like SQL and Python.
• Data Modelling: Building models to predict future outcomes or classify data points.
• Data Visualization: Creating informative charts, graphs, and dashboards to communicate insights effectively.
• Staying up to date with new data analysis tools and techniques.
• Maintaining data quality and adhering to data security protocols.
• Support RCL FOODS on their Insights Driven Organization (IDO) upskilling journey.

Reporting:

• Develop appropriate reports as requested by the Business & support citizen data analysts within the business functions to do the same.
• Maintain and proactively enhance reports.

Technical Expertise:

• Provide on-going advice and support on best practice to ensure continuous improvement within the data & analytics environment.
• Develop specialist knowledge of the Microsoft BI tools and platform, identify opportunities to deliver best value solutions and make recommendations to the Data & Analytics Manager.

End User Support:

• Work in conjunction with learning team, super users and citizen analysts to deliver and conduct end user training on existing and new data analytics solutions.
• Assist business users in resolving BI related issues.
• Provide clear problem definition and liaise with necessary technical experts/external consultants to resolve technical issues.

Drive Continuous Business Improvement:

• Identify opportunities in the business to drive insights in the organization.

Data Governance:

• Ensure Data assets are governed according to Security framework.
• Ensure Data integrity measures are in place, e.g. success and accuracy of ETL loads.