ANALYTICS ENGINEER JOB DETAILS
Descrição da oferta de emprego
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.
Together, let's build a brighter, healthier future for all.
Join Colgate's Information Technology team and seize the opportunity to thrive in a cutting-edge, dynamic tech environment! At Colgate, our innovative IT team is at the forefront of driving growth and adapting to an evolving landscape.
As part of our team, you'll play a pivotal role in shaping the future.
We're seeking an Analytics Engineer to join our Customer Development Analytics team.
In this exciting position, you'll create and automate data transformation pipelines from diverse business sources to enhance customer insights and operational efficiency.
You'll collaborate with a variety of departments, including Customer Development, Finance, Supply Chain, and Digital.
Your role will not only involve building these pipelines but also ensuring the development, maintenance, and stability of our data engineering and analytics infrastructure.
Join us and make a substantial impact on Colgate's technological journey.
Work visa sponsorship not available for this position What you'll do Develop production-ready code using SQL and Python to fulfill data transformation requirements for analysts, data scientists, and business partners.
Enhance our data infrastructure by supporting analytics platforms and workflows, while identifying opportunities for strengthening and scaling.
Design and implement clear ELT pipelines to ensure the delivery of accurate and timely data to end users.
Convert business needs and logic into well-documented data models to enhance clarity and efficiency for users.
Collaborate across departments to recognize and address data requirements, utilizing data to drive effective business solutions.
Required Qualifications Bachelor's degree in a quantitative discipline 3+ years of professional experience as a data analyst, data scientist, or data engineer Proven expertise in using SQL and/or Python for data wrangling, cleaning, and integration from multiple sources Solid grasp of contemporary data warehouse design principles and data engineering best practices Hands-on experience with data visualization and/or BI tools (e.
., Domo, Sigma) for data analysis Preferred Qualifications Master's degree in a quantitative field Extensive knowledge of marketing analytics, encompassing marketing mix modeling, churn risk prediction, and customer lifetime value Proficient in using tools such as Git/GitHub, dbt Core/Cloud, and Airflow Experience with SAP systems, including S/4HANA and Sales Cloud A strategic, ambitious individual with a talent for leading change, building cross-functional relationships, and a commitment to achieving business results effectively through innovative tool and process implementation.
Compensation and Benefits Salary Range $ USD Pay is determined based on experience, qualifications, and location.
Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits.
Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements.
Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year).
Paid sick leave is adjusted based on role and location in accordance with local laws.
Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
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.
For additional Colgate terms and conditions, please click here.
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Detalhes da oferta
- Indeterminado
- Em todo Portugal
- Indeterminado - Indeterminado
- 02/01/2025
- 02/04/2025
At ease with developing sql ctes, windows functions as well as robust queries;- proven expertise in implementing a dwh following a traditional bi architecture (ods -> dwh -> dtm -> tableau);- proven experience with data analytics etl tools such as: apache nifi, dataiku (a plus);- data visualization tools......
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