Analytics Engineer 164419
Analytics Engineer 164419
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Job Description
No Relocation Assistance Offered
Job Number#164419 Toronto Ontario Canada
Who We Are
ColgatePalmolive 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 ColgatePalmolive a caring innovative growth company reimagining a healthier future for people their pets and our planet. Guided by our core valuesCaring Inclusive and Courageouswe foster a culture that inspires our people to achieve common goals. Together lets build a brighter healthier future for all.
Do you want to make a difference in the lives of people and their pets What about having the opportunity to connect with others across the world full of stimulating discussions and making impactful contributions If this is how you see your career Hills is the place to be!
Hills Pet Nutrition is a multi billion dollar global division of ColgatePalmolive Company and the maker of Prescription Diet Science Diet and Healthy Advantage brand pet food. Our mission is to help enrich and lengthen the special relationships between people and their pets by providing the best leadingedge pet nutrition technology products and expertise to pet owners veterinary professionals and other key pet professionals worldwide. Our company is a globally recognized Best Place to Work.
Were looking for an experienced data and analytics professional to join our Canada Commercial Analytics team. The ideal candidate will develop and automate data transformation pipelines integrating data sources from various parts of the business to drive customer understanding and operational efficiency. As a member of the analytics team your role will influence the tech stack and frameworks we develop across the organization. As an Analytics Engineer you will collaborate with departments across the company including Marketing Sales Digital Supply Chain and eCommerce. In addition to building data transformation pipelines your responsibilities will include supporting the development maintenance and operational stability of data engineering and analytics infrastructure.
What You Will Do:
- Use SQL and Python to write productionquality code to meet the data transformation needs of analysts data scientists and other business partners
- Support the use of analytics platforms and data science workflows while identifying ways to strengthen and scale our data foundation
- Help design and develop transparent ELT pipelines that deliver timely and accurate data to end users
- Translate business requirements and logic into welldocumented data models to drive clarity and efficiency for end users
- Collaborate cross functionally to understand and identify data needs and opportunities to use data to drive business solutions
- Communicate technical concepts to a nontechnical audience in a compelling manner
- Evaluate external partners across different dimensions for analytics initiatives
- Partner with IT to align on data architecture analytics tools and other technologies
Required Qualifications:
- Bachelors Degree in a quantitative field
- At least 3 years of professional experience as a data analyst data scientist analytics engineer or data engineer
- Demonstrated proficiency in the use of SQL and/or Python to wrangle clean and integrate data from a variety of sources
- Demonstrated understanding of modern data warehouse design principles and data engineering best practices
- Practical experience using data visualization and/or BI tools (e.g. Domo Tableau) to analyze data
- A commercially astute individual with the ability to build strong crossfunctional relationships. Eager at the prospect of developing and implementing new tools and processes that add organizational value & improve decision making capabilities.
- A bright ambitious person with strategic capabilities able to lead change influence and collaborate both internally and externally and with a clear commitment to delivering business results in a timely manner.
Preferred Qualifications:
- Masters or PhD in a quantitative field
- Demonstrated understanding of marketing analytics concepts including marketing mix modeling churn risk prediction and customer lifetime value
- Demonstrated experience with Git/GitHub dbt Core/Cloud and Airflow
- Familiarity with SAP systems (ECC C4C S4 HANA)
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.
#LIHybrid
Employment Type
Full Time
