Analyst – Retail Forecasting

Overview:

About Omnicom Global Solutions

Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicom’s branded networks and numerous specialty firms provide advertising and communications services to over 5,000 clients in more than 70 countries.

Omnicom Global Solutions India plays a key role for our group companies and global agencies by providing stellar products and services in the areas of Creative Services, Technology, Marketing Science, Media Services, Market Research and Business Support Services

Responsibilities:

Roles and Responsibilities:

• Perform desk research to source key data inputs for the model:
• Researching and understanding company reported data thoroughly to find all relevant published data
• Sourcing other publicly available information e.g. store numbers, online traffic, 3rd party estimates, management commentary, news stories
• Adjusting retailer models for key developments at retailers (e.g. acquisitions, management commentary)
• Updating the retailer models with this data, typically for the last financial year (but also quarterly)
• Making estimates by retail banner where this data is unavailable using standard calculations within the template, or simple estimates (using basic maths)
• Having a clear rationale for estimated data that we can defend to clients
• Forecasting retailer and banner growth for the next 5 years using basic but realistic calculations that align with reported data
• Clearly documenting sources for key data inputs and assumptions used for estimates
• Spot any errors in the data and take appropriate measures to fix them
• Responding and actioning Flywheel data lead’s feedback correctly
• Handling client data queries with clear understandable responses that answer the client’s query
• Manipulating the retailer models to match reported actuals quickly and accurately

Qualifications:

• Experience in data analysis with proficiency in Excel (experience with Excel models is a plus).
• Strong analytical and logical thinking with the ability to make basic revenue estimates and explain the methodology clearly.
• Excellent numeracy skills with a keen eye for accuracy and precision.
• Strong verbal and written communication skills to convey insights effectively.
• Passion for delivering highly accurate data and maintaining data integrity.
• Strong research abilities — capable of analysing company-reported data, identifying key insights, and sourcing relevant information.
• Interest in global retail, ecommerce, and company performance trends.
• 2-3 years of professional experience in a relevant role.
• Ability to work independently with minimal supervision while taking ownership of tasks.
• Quick learner with the adaptability to pick up new skills and tools efficiently.