Assistant Manager, Business Analytics

2 weeks ago

Zhob District, Balochistan, Pakistan Colgate Full time

Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet.

Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world.

A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.

Job Title: Assistant Manager, Business Analytics

Travel Required?: Travel - up to 10% of time

Date: Feb 7, 2025

Remote

Relocation Assistance Offered Within Country
Job Number#165136 - Mumbai, Maharashtra, India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals.

The Experience

In today's dynamic analytical / technological environment, it is an exciting time to be a part of the CBS Analytics team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape.

The Data Scientist position would lead CBS Analytics projects within the Analytics Continuum. Conceptualizes and builds predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value.

Who are you…

You are a function expert -

  1. Leads Analytics projects within the Analytics Continuum.
  2. Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases.
  3. Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business.
  4. Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built.

You connect the dots -

  1. Drive insights from internal and external data for business.
  2. Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
  3. Build data and visualization tools for Business analytics to assist them in decision making.

You are a collaborator -

  1. Work closely with Division Analytics team leads.
  2. Work with data and analytics specialists across functions to drive data solutions.

You are an innovator -

  1. Identify, design, and implement new algorithms, process improvements while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Qualifications

What you'll need

  1. Graduation/Masters in Statistics/ Applied Mathematics/ Computer Science.
  2. 1+ years of experience in building data models and driving insights.
  3. Hands-on experience on developing statistical models, such as regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering etc.
  4. Hands-on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR.
  5. Knowledge of using GitHub, Airflow for coding and model executions.
  6. Validated understanding on tools like Tableau, Domo, Power BI and web apps framework using plotly, pydash, sql.
  7. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment.
What you'll need…(Preferred)
  1. Experience with third-party data i.e., syndicated market data, Point of Sales, etc.
  2. Shown understanding of consumer packaged goods industry.
  3. Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  4. Experience visualizing/communicating data for partners using: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc.
  5. Willingness and ability to experiment with new tools and techniques.
  6. Good facilitation and project management skills.
  7. Ability to maintain personal composure and thoughtfully handle difficult situations.
  8. Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc).
Our Commitment to Diversity, Equity & Inclusion

Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way.

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.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

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