1.218 Ofertas de Data Analytics en Colombia

Sobre Hapi
Hapi es la plataforma de inversiones líder para clientes de Latinoamérica. Queremos democratizar el acceso a las inversiones para que todos puedan aprender, comprar, mantener y vender acciones, ETFs, criptos y portafolios en minutos, sin mínimos y sin comisiones.

¿Es Hapi la empresa correcta para ti? Sí, y solo sí:

• Quieres que tu trabajo tenga un impacto real en la vida de las personas.
• Te motiva aprender y trabajar con tecnologías modernas de datos.
• Te emociona generar insights y construir soluciones que usen miles de personas.
• Buscas crecer profesionalmente en un equipo de primer nivel.
• Quieres ser parte de una empresa de rápido crecimiento.

¿Eres la persona que estamos buscando? Necesitas:

• Estar cursando los últimos ciclos o recién egresado en Ingeniería de Datos/Computación, Estadística, Economía o afines.
• Conocimientos básicos de SQL y No-SQL.
• Manejo inicial de Python para análisis y automatización.
• Interés por procesos ETL y orquestación de flujos con n8n.
• Familiaridad con Amazon QuickSight para visualización.
• Con ganas de aprender y comunicarte claro con perfiles técnicos y no técnicos.
• Inglés técnico intermedio.

Tecnologías que usarás:
QuickSight, ETL,
Python
,
AWS Lambda
, SQL y No-SQL,
n8n
.

Algunos De Los Desafíos Que Tendrás

• Construir y mantener dashboards en QuickSight para apoyar decisiones del negocio.
• Analizar datos de usuarios, producto y transacciones para detectar patrones y oportunidades.
• Apoyar en el diseño y la implementación de pipelines ETL y automatizaciones con Python, AWS Lambda (serverless) y n8n.
• Colaborar con Producto, Ingeniería y Marketing para responder preguntas con datos.
• Proponer mejoras basadas en análisis para optimizar la experiencia del usuario.

Te amaríamos más aún si tienes…

• Proyectos personales/universitarios de análisis de datos.
• Conocimientos de AWS Lambda y enfoques serverless.
• Pasión por la toma de decisiones basada en datos.
• Experiencia en startups o hackathons.
• Inglés avanzado.

Lo Que Tenemos En Hapi Para Ti

• Ser parte de una startup de alto impacto con ambición de unicornio .
• Comunidad Y Combinator.
• Trabajo 100% remoto y horarios flexibles.
• Aprendizaje directo de un equipo fuera de serie.
• Ruta de crecimiento dentro de Hapi.
• Un entorno de innovación constante .

Publicis Global Delivery is the talent powerhouse of Publicis Groupe, the largest global communications group. We make sure to hire, boost and develop the best people worldwide to deliver outstanding work for the most prominent clients within the Groupe.

In LATAM, we are over 1,700 passionate employees that love to push boundaries and drive innovative solutions. If you are a risk-taker and love to develop intrepid ideas, PGD is the place for you.

We Move People, and People Move Us

Job description:

As the Data Analytics Engineer, you will be a hands-on expert in building and maintaining the data foundation for our marketing analytics. You will own the technical execution of data ingestion, transformation, and quality control, ensuring that stakeholders have access to timely and accurate data.

Design, build, and maintain robust, scalable ELT pipelines and high-quality data models using dot.

Collaborate with marketing and analytics stakeholders in San Francisco-translating their complex business requirements into high-performance data models built for analysis.

Required Profile:

Expert-level SQL and dbt or SLQMesh

Fluency in Git and collaborative development workflows.

Excellent communication skills in English, both written and verbal.

A meticulous, quality-first mindset and a passion for testing your code.

Company Description

Lanchmon is a
data infrastructure startup that powers entrepreneurial ecosystems in emerging markets
. We organize, verify, and activate information on startups, SMEs, and innovation networks to help investors, accelerators, corporates, and public institutions make faster, more informed decisions. Our mission is to make startup and SME data in emerging markets more transparent, interoperable, and actionable for decision-makers worldwides.

Role Description

This is a
full-time hybrid role
for an
Operations & Data Analyst
based in
Bogotá, D.C.
, with flexibility for remote work.

The Operations & Data Analyst will play a central role in coordinating projects, managing internal workflows, and optimizing processes that connect Lanchmon's data, product, and client teams. The position also involves maintaining operational documentation, supporting data reporting for ecosystem partners, and ensuring seamless execution across ongoing programs and collaborations.

The ideal candidate is analytical, detail-oriented, and thrives in dynamic environments — capable of turning data and operational insights into actions that improve efficiency, accountability, and performance across teams.

What you will learn

At Lanchmon, you'll be part of a global ecosystem that connects
startups, investors, corporates, and public institutions
across emerging markets. You'll work directly with
Boris Lancheros (CEO)
, learning
1-on-1
from his experience in
venture capital, alternative investments, ecosystem development, and innovation strategy
. You'll gain first-hand exposure to
international projects
, interacting with multiple stakeholders from
Latin America, and North America
, as we continue to expand the Lanchmon ecosystem. This role offers an unparalleled opportunity to
grow in analytical, operational, and strategic capabilities
while being part of a company that's redefining how data drives opportunity in emerging markets.

Qualifications

• Strong analytical mindset with experience in
  data analysis, reporting, or process optimization
  .
• Proficiency in
  Excel/Google Sheets
  (pivot tables, dashboards, advanced formulas) and familiarity with
  data tools
  such as Looker Studio, Power BI, or Tableau.
• Excellent communication and coordination skills in
  English and Spanish
  .
• Bachelor's degree in
  Business Administration, Industrial Engineering, Data Analytics, or related field
  .
• Ability to synthesize complex data into clear insights that support operational and strategic decisions.
• Prior experience in
  tech startups, venture capital, or data-driven organizations
  is a strong plus.

Compensation & Work Conditions

• Salary range:
  COP $2.0 – $2.5 million per month (depending on experience).
• Schedule:
  Monday to Friday — 100% virtual.
• Location:
  Candidates must reside in
  Bogotá or nearby areas
  , as there will be occasional
  in-person meetings with clients, participation in ecosystem events, and attendance at Lanchmon initiatives
  that require on-site presence.

How to apply

Send your
CV
and a brief message explaining why you'd like to join Lanchmon to

with the subject line:

Operations & Data Analyst – (Your Name)

We all know every decision should be driven by data. But what about the data you don't know? For years, the status quo in data aggregation has lacked visibility, moved slowly, and cost too much. Leaving organizations to make critical decisions, day after day, without the whole picture. Native changes that.

Across 138 countries and counting, our technology connects communities of global smartphone users to source actionable data in real-time, cost- effectively, and with the visibility you need. So leaders inside organizations, non-profit agencies and governments can now make the best decisions under the best conditions.

With Native, organizations win. And communities win, too. People can earn more from their opinions and discoveries. They can influence their cities for the better. And, unlike other data sourcing methods out there, they can do it all with full transparency that the data they're gathering is going to an organization that values it, and values them.

Data Analytics Manager - Data Production & Delivery

**This position is based in Bogota / Colombia

We're growing rapidly, and we're searching for an energetic and strategic Data Analytics Manager. You will be part of a team of highly talented individuals and be responsible for owning and maintaining our data transformation pipelines with the highest standards of quality and best practices. Also you'll be in charge of the client deliveries through dashboards, flat files and custom reports. You'll bridge the gap between raw data and business insights, working with both technical and business stakeholders to ensure data reliability and accessibility.

What You Will Do

You'll work in the Data Production & Delivery team, a group of data analysts, and analytics engineers who are responsible for turning our raw data into the insights our customers need to make faster, more effective decisions. Responsibilities include:

• Design, maintain and enhance data pipelines and models
• Design and implement efficient data models and transformation pipelines, primarily using Dataform (or similar tools)
• Maintain and update existing transformations to reflect business and product changes
• Monitor pipeline performance and optimize jobs for reliability and efficiency
• Maintain documentation and version control for pipeline changes
• Ensure data quality and reliability
• Design and implement data quality checks and automated testing for data transformations
• Develop and maintain monitoring systems and data quality metrics to detect and track data anomalies.

• Implement data validation rules and error handling

• Data Delivery

• Development of standardized dashboards that provide clients with key metrics to their use of our product/service
• Maintainment of scheduled reports that provide regular snapshots of the client's data and performance
• Work closely with the Customer Success team to support their work and management of the clients
  Overseeing the process for fulfilling client requests for raw data extracts or setting up automated data feeds (e.g., via S3, SFTP) into the client's own systems
• Operational Support and Collaboration
• Monitor and troubleshoot pipeline and scheduled job failures; implement corrective actions to ensure accuracy and operational continuity.
• Collaborate with stakeholders to resolve data issues and ensure alignment between data models and evolving business needs
• Perform regular updates and adjustments to product data models based on catalog changes and market dynamics.
• Continuously review and refine transformation processes to uphold data accuracy and operational standards.
• Translate research and requirements into recurring products
• Work with Product and Data Science teams to prototype new data products and capabilities based on your research and/or customer requirements.
• Translate ad hoc research and analysis into scalable, recurring data solutions that deliver long-term value.
• Support efforts to evolve and improve existing data products to better meet customer needs and drive adoption.

What You Bring Along

• Fluent in English
• BA/BS degree in Engineering, Computer Science, Mathematics, Statistics, or a related technical field—or equivalent practical experience
• Must have 3-5 years of hands-on experience with SQL, including advanced topics such as complex joins, window functions, subqueries, and query optimization
• Experience with data modeling and transformation tools such as Dataform or dbt
• Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
• Familiarity with version control systems (Git)
• 1+ years of experience in a management or team leadership role, with a track record of developing and mentoring analytics professionals
• Proven ability to collaborate with cross-functional teams and business stakeholders to define KPIs, prioritize analytics initiatives, and drive data-informed decision making
• Experience overseeing data visualization functions, including working with teams using tools like Looker, Tableau, or Power BI
• Strong communication skills for both technical and non-technical audiences
• Relentless drive to listen, learn, and improve the world around you
• Enjoys bringing order to complexity by structuring and optimizing analytics tasks and requests

Bonus Points:

• Experience with a data visualization tools (Looker, Power BI, Tableau, etc)
• General analytics experience, generating client-facing reports, ideally in the commercial sector (ie market research companies, consumer packaged goods vendors, etc)
• Scripting language (such as R or Python), ideally for data analysis and visualization
• Experience with data quality frameworks
• Familiarity working with Google BigQuery and Looker
• You excel in ambiguity and are confident in diving deep to find items of interest in large datasets
• Passion for creating greater transparency in the world, particularly in developing economies
• Passion for spreading mobile technology in the developing world

Summary:

Danescor is a leader in the fast-developing market of Next Generation Internet Investment Banking (IIB), operating across the US and Europe, and providing investment banking services to mid-market corporates seeking to acquire, sell, or raise debt or equity finance. Since inception, Danescor has achieved a CAGR in excess of 120% and has established itself as the "Go To" partner in many sectors within the technology and communications industries. Through its growing reputation and market presence, Danescor has built strong trading relationships with many of the leading industry consolidators and PE firms active in its core markets.

Role Description:

As the Data Analytics Lead
, you will play a strategic leadership role in Danescor's Data Science function, overseeing the design, implementation, and optimization of analytics solutions that drive decision-making and operational intelligence. You will lead a team of analysts and collaborate closely with business stakeholders, data engineers, and senior management to develop scalable, high-impact data initiatives aligned with the company's growth and automation strategy. You will be responsible for shaping the analytics roadmap, ensuring the robustness of data pipelines, and advancing data platform capabilities. Your leadership will enable faster insights, improved data governance, and a more resilient analytics infrastructure. This role requires a blend of technical expertise, business acumen, and the ability to influence and guide both technical and non-technical teams.

You will be responsible for shaping the analytics roadmap, ensuring the robustness of data pipelines, and advancing data platform capabilities. Your leadership will enable faster insights, improved data governance, and a more resilient analytics infrastructure. This role requires a blend of technical expertise, business acumen, and the ability to influence and guide both technical and non-technical teams.

Required Candidate Profile:

• Skills:
   Strong proficiency in Python, SQL, Azure automation tools (Power Apps, Power Automate), and APIs. Familiarity with data warehousing, BI tools, and CI/CD in analytics environments is a plus.
• Experience:
   3+ years in data-focused roles with at least 2 years in a leadership or senior analyst position. Background in analytics, automation, or data platform development, ideally within finance, M&A, or high-growth environments. Experience managing cloud environments and containerised applications. Strong understanding of Big O notation and algorithm efficiency.
• Leadership Traits:
   Strategic thinker, proactive problem-solver, effective communicator, and systems-oriented leader. Comfortable translating business needs into data solutions and aligning teams around a shared vision.

Responsibilities:

• Lead the design and deployment of scalable automated data pipelines.
• Oversee extraction, transformation, and enrichment processes for M&A intelligence.
• Drive adoption of best practices in Git, Docker, CI/CD, and asynchronous processing.
• Collaborate with leadership to align data initiatives with company strategy.
• Mentor junior and mid-level analysts to elevate team performance.
• Build interactive dashboards and reporting tools for internal and client-facing use.
• Eliminate fragile tools and one-off data solutions by implementing robust, sustainable, production-grade infrastructure.
• Partner with engineering, M&A, finance, and commercial teams to integrate data-driven insights into core business operations.

Job Type:
Full Time

Job Location:
Bogota, Hybrid

Sobre Coderio

Coderio diseña y entrega soluciones digitales escalables para empresas globales. Con una base técnica sólida y una mentalidad orientada al producto, nuestros equipos lideran proyectos de software complejos desde la arquitectura hasta la ejecución. Valoramos la autonomía, la comunicación clara y la excelencia técnica. Colaboramos estrechamente con equipos y socios internacionales, construyendo tecnología que genera impacto.

Más información:

En este puesto, tendrá un rol clave en el diseño y desarrollo de Data Marts para soportar analíticas embebidas en aplicaciones digitales. Como así también, en la implementación y optimización de modelos de analítica de datos que generen insights accionables para alumnos y docentes.

Colaborar con equipos de producto y desarrollo para integrar las analíticas en las soluciones digitales. Explorar y aplicar nuevas herramientas de IA generativa y tecnologías de visualización orientadas al usuario final. Proponer y ejecutar mejoras continuas que potencien la toma de decisiones basada en datos.

Lo que puedes esperar de este rol (Responsabilidades)

Diseñar y construir Data Marts y productos de datos de punta a punta.

Implementar analíticas embebidas en productos SaaS para mejorar la experiencia de usuarios internos y externos.

Experimentar y aplicar herramientas de IA generativa en procesos de análisis y reporting.

Seleccionar y recomendar tecnologías de visualización de datos para usuarios finales.

Colaborar estrechamente con equipos internos de Santillana para asegurar calidad, escalabilidad y valor en las soluciones implementadas.

Requisitos

• de 5 años trabajando en Python en proyectos de análisis de datos y automatización de procesos.

• de 3 años de experiencia en SQL, diseñando consultas complejas, optimización y creación de Data Marts.

• de 3 años trabajando con herramientas de visualización de datos (Power BI, Tableau, Looker u otra) aplicando en productos SaaS.

Analíticas embebidas en productos digitales/SaaS: implementando analíticas dentro de aplicaciones o plataformas para usuarios finales.

• de 2 años de experiencia en Creación de Data Marts y productos de datos de punta a punta: en diseño, implementación y mantenimiento.

• de 2 años de experiencia en IA generativa aplicada al análisis de datos (evaluación de modelos, integración en productos).

• de 4 años en AWS y servicios de nube (Redshift, S3, Lambda, etc.) trabajando con pipelines, análisis de datos y despliegue de soluciones

Nivel de inglés intermedio.

Deseable

Conocimiento en Duck DB.

Experiencia adicional con herramientas de IA generativa.

Beneficios

100% remoto

Compromiso a largo plazo, con autonomía e impacto

Rol estratégico y de alta visibilidad en una cultura de ingeniería moderna

Equipo internacional colaborativo y liderazgo técnico sólido

Plan de carrera crecimiento y liderazgo dentro de Coderio

¿Por qué unirte a Coderio?

En Coderio valoramos el talento sin importar la ubicación. Somos una empresa remote-first, apasionada por la tecnología, el trabajo colaborativo y la compensación justa. Ofrecemos un entorno inclusivo, desafiante y con oportunidades reales de crecimiento. Si te motiva construir soluciones con impacto, te estamos esperando. Postula ahora.

Hey, it's time for you to join us showing the world we are the company that is changing paradigms, where we revolutionize the hours, minutes and seconds

Do you want to know why Rappi?

WE SEE OPPORTUNITIES
where others see problems

WE SEE CLOSE
where others see distance

WE SEE ADRENALINE
where others see pressure.

Join a team where we are all capable of EVERYTHING, where we all have the same opportunities, regardless of gender identity, race, religion, nationality, age, disability, training or experience.

Did you like what you have read so far?
Find out how you will deliver magic together with us through your Rappi mission

Mission
*Revisa cómo impactarás nuestro ecosistema: *
Lead information analysis of the assigned business line Support the construction of KPIs in each area. Build and deliver standard reports. Find possible problems that may be holding back growth or operational efficiency and generate alerts.

Como Parte De Rappi, Serás Responsable De
*What You'll Do *

• Business Acumen: Using your business acumen and key insights, you proactively explore new areas of opportunities to drive Rappi's value forward and coordinate with the key stakeholders to prioritize and lead the changes to production. You proactively monitor existing metrics, develop, and propose new metrics, and work across the organization to make actionable intelligence available to business stakeholders.
• Strategic Analytics and Insights: With a deep understanding of business drivers and an innate grasp of the key business metrics, you pro-actively interact with the stakeholders within the business teams and drive customer-centric changes through data-driven deep-dives, insights at scale, and analytical exercises (preliminary data analysis, deep-dives using segmentations/models, financial analysis and recommendations).
• User Centricity: Focusing on the incrementality and the value-creation in everything you do, you drive strategic insights on user behavior (merchants, couriers, consumers) and needs through analysis on acquisition, marketing investment, incentives programs, retention, churn, operations and service quality
• Execution: Ability to communicate insights and identify new areas of opportunity that will drive Rappi's value and growth goals forward; coordinate with the stakeholders to prioritize and lead the changes to production. Establish strong working relationships at all organizational levels across different functional teams.
• Leader and IC: Ability to lead a small team of Business Analysts and perform as Individual Contributor. Defines the way of work to organize and prioritize backlog with business stakeholders. Identifies risks in projects and proactively mitigates them to deliver in a timely manner.
• Recruiting: Ability to recruit and train talent both in hard and soft skills.

*What You'll Need *

• Bachelor's degree in Math, Statistics, Economics, Engineering or a related degree with analytics and quantitative emphasis; Masters in Analytics is a plus.
• Years of relevant industry experience in the areas of Marketing Analytics, Customer Analytics, Product Analytics, Data Science, or Consulting.
• Expertise in scripting languages (such as SQL, Python or R) and the tools (such as MS Excel, PowerPoint, etc.) required to perform analysis.
• Strong theoretical and functional understanding of statistical, optimization and machine learning concepts and experience in employing these concepts to solve business problems at scale using Python, R, SAS, etc.
• Strong experience in spearheading or supporting business initiatives through data-driven decision frameworks, in particular through the conception, execution, and measurement of experimental A/B plans.
• Experience in working with cross-functional teams in a fast-paced environment and managing priorities among multiple projects
• Experience in developing visualization tools such as PowerBI, Tableau, MicroStrategy, Shiny, etc., and analytics/presentation.
• Demonstrated ability to dig into the "why" of various results and present data driven insights and recommendations. You enjoy working in a team of highly engaged individuals, and you have a passion for data science and KPIs, but also for delivering analysis of the highest quality.
• Proven experience in identifying opportunities for business improvement and defining and measuring the success of those initiatives.
• Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
• Can work in a fast-paced environment and be persuasive and caring with a wide range of diverse, cross-cultural audiences.
• Fluent in English & Spanish (written & spoken).

Bien y ahora, ¿Cuáles son los requisitos para que yo sea parte de este universo de neón?

Tipo Empleador
Regular

Empleador
Rappi Technology Colombia

Para más información consulta nuestra pagina web y revisa nuestras reseñas en Glassdoor

Te esperamos con mucha ansiedad y brillo en los ojos para entregar magia juntos
#Rappi

Overview

Lanchmon Bogota, D.C., Capital District, Colombia

Lanchmon is a data infrastructure startup that powers entrepreneurial ecosystems in emerging markets . We organize, verify, and activate information on startups, SMEs, and innovation networks to help investors, accelerators, corporates, and public institutions make faster, more informed decisions. Our mission is to make startup and SME data in emerging markets more transparent, interoperable, and actionable for decision-makers worldwides.

This is a full-time hybrid role for an Operations & Data Analyst based in Bogotá, D.C. , with flexibility for remote work.

The Operations & Data Analyst will play a central role in coordinating projects, managing internal workflows, and optimizing processes that connect Lanchmon’s data, product, and client teams. The position also involves maintaining operational documentation, supporting data reporting for ecosystem partners, and ensuring seamless execution across ongoing programs and collaborations.

The ideal candidate is analytical, detail-oriented, and thrives in dynamic environments — capable of turning data and operational insights into actions that improve efficiency, accountability, and performance across teams.

At Lanchmon, you’ll be part of a global ecosystem that connects startups, investors, corporates, and public institutions across emerging markets. You’ll work directly with Boris Lancheros (CEO) , learning 1-on-1 from his experience in venture capital, alternative investments, ecosystem development, and innovation strategy . You’ll gain first-hand exposure to international projects , interacting with multiple stakeholders from Latin America, and North America , as we continue to expand the Lanchmon ecosystem. This role offers an unparalleled opportunity to grow in analytical, operational, and strategic capabilities while being part of a company that’s redefining how data drives opportunity in emerging markets.

• Strong analytical mindset with experience in data analysis, reporting, or process optimization .
• Proficiency in Excel/Google Sheets (pivot tables, dashboards, advanced formulas) and familiarity with data tools such as Looker Studio, Power BI, or Tableau.
• Excellent communication and coordination skills in English and Spanish .
• Bachelor’s degree in Business Administration, Industrial Engineering, Data Analytics, or related field .
• Ability to synthesize complex data into clear insights that support operational and strategic decisions.
• Prior experience in tech startups, venture capital, or data-driven organizations is a strong plus.

• Salary range: COP $2.0 – $2.5 million per month (depending on experience).
• Schedule: Monday to Friday — 100% virtual.
• Location: Candidates must reside in Bogotá or nearby areas , as there will be occasional in-person meetings with clients, participation in ecosystem events, and attendance at Lanchmon initiatives that require on-site presence.

Send your CV and a brief message explaining why you’d like to join Lanchmon to with the subject line:

Operations & Data Analyst – (Your Name)

No Relocation Assistance Offered

Job Number # Cali, Valle del Cauca, Colombia

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. Together, let's build a brighter, healthier future for all.

About The Role
As a
Sales Data Analytics Expert | Andean Region
, you'll lead advanced analytics to drive strategic insights and improve profitability. You'll analyze data to create actionable solutions and will be key in standardizing reporting and creating compelling dashboards for the commercial team. Your role also involves automating processes using tools like Domo, Sigma, and Snowflake to streamline data-driven decision-making across the region.

Main Responsibilities:

• Reporting and Analysis: Direct the preparation of monthly Sell-Out and Days of Inventory (DOI) reports. Analyze diverse data sources to identify trends and generate actionable insights that help improve key performance indicators (KPIs).
• Innovation and Efficiency: Lead the development of advanced analytical models and visualizations to support strategic decisions. Drive operational efficiency for the commercial team by leveraging AI and introducing innovative processes.
• Data and Process Management: Standardize data management processes across the Andean region. Manage the tracking and uploading of new products (SKUs) and serve as the main point of contact for external data providers, ensuring a seamless data flow. Support audits by ensuring compliance with required standards.
• Strategic Communication: Provide clear, data-driven analysis to management to support strategic decision-making.

Mandatory Requirements:

• Bachelor's Degree in Data Science, Business Administration, Industrial Engineer, Marketing, Economy, International Business or Statistics.
• At least 1 year of experience in Data Analytics and/or Insights roles
• Experience in data visualization tools such as DOMO, Tableau, PowerBI or Looker Studio
• Recent experience with SQL
• Demonstrated experience or formal training in data science
• Advanced Excel skills
• Advanced English

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

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.