Associate Analyst II - Analyst Analytics

No Relocation Assistance Offered

# 85866 - Mumbai, Maharashtra, India

To support Global Revenue Management via analytical based recommendations that are translated into business results. The incumbent will have to support functions across the organization to drive growth through innovative solutions. Should be adept at using large databases, strong experience in applying a variety of data mining methods, statistical models and tools. Also, need to manage relationships independently to drive projects such as Price Promotion, Marketing Mix and Forecasting.

Responsibilities

• Mine and analyze data from company databases to drive optimization


• Support PnP, Marketing Mix, Forecasting study from scoping to delivery


• Study large amount of data to discover trends and patterns


• Mine data through various technologies like BigQuery and SQL


• Present insights in easy to interpret way to the business teams


• Develop visualization (tableau, data studio) leveraging large datasets


• Ready to work collaboratively with business partners across geographies


• Provide training to junior team members on the upcoming solutions such as PnP, MMM and forecasting


• Build a knowledge repository and benchmarking exercise

Mandatory

• Analyze syndicated and non-syndicated data to build analytical model and provide insights to support the RGM levers


• Leverage learnings from these analyses to create strategic recommendations for Pricing and Promotion in line with the Brand’s objective


• Articulate complex pricing, promo relationships and data in a visually clear, concise manner that is easy to understand


• Analysis of non promo, promo, EDLP by different channel and geography to generate insights as how it will affect consumers and customers


• Ability to synthesize analytical results with internal data to create a scenario to support P&L


• Experience of Offtake and POS data


• Knowledge of PnP


• Problem Solving & Quantitative skills


• Business Insights

Good to Have

• Experience with third-party data i.e., syndicated market data, Point of Sales, etc.


• Working knowledge of consumer packaged goods industry


• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.


• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc


• Understanding of Colgate’s processes, and tools supporting analytics (for internal candidates)


• Willingness and ability to experiment with new tools and techniques


• Good facilitation and project management skills


• Ability to maintain personal composure and tactfully handle difficult situations.


• Knowledge of Google products (BigQuery, data studio, coda, colab etc)

Education and Experience

3+ years of experience in managing complex Price-and-Promo studies

Strong conceptual & working knowledge of Statistical models

Hands on experience on R, Python, SQL

Bachelors in Economics/Maths/Stats and/or Masters in Statistics, Marketing, Finance

Equal Opportunity Employer

Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Are you interested in working for Colgate-Palmolive? You can apply online and attach all relevant documents such as a cover letter and resume or CV. Applications received by e-mail are not considered in the selection process. Become part of our team. We look forward to your application.

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom’s of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Science Diet and Hill’s Prescription Diet. 

For more information about Colgate’s global business, visit the Company’s web site at http://www.colgatepalmolive.com. To learn more about Colgate Bright Smiles, Bright Futures® oral health education program, please visit http://www.colgatebsbf.com. To learn more about Hill's and the Hill’s Food, Shelter & Love program please visit http://www.hillspet.com. To learn more about Tom’s of Maine  please visit  http://www.tomsofmaine.com.

Reasonable accommodation during the application process is available for persons with disabilities. Please contact [email protected] with the subject "Accommodation Request" should you require accommodation.