211 Ofertas de Data Analyst Associate en Mexico
Junior Data Analyst
Publicado hace 5 días
Trabajo visto
Descripción Del Trabajo
¡En Grupo Modelo seguimos creciendo!
Estamos buscando un Jr. Data Analyst para unirse a nuestro equipo y ayudarnos a crear ¡más motivos para brindar!
Si te apasiona el mundo de los datos, tienes bases sólidas y entusiasmo por convertir información en decisiones estratégicas para la empresa, ¡esta oportunidad es para ti!
Ubicación y Horario
Aguascalientes – Parque Tres Centurias
Lunes a sábado de 8:00 a.m. a 5:00 p.m.
¿Qué harás?
- Apoyar en la recopilación, depuración y mantenimiento de datos.
- Elaborar reportes y dashboards con acompañamiento y supervisión.
- Realizar análisis descriptivos para identificar patrones y tendencias.
- Colaborar con distintos equipos para comprender y atender necesidades de datos.
- Garantizar la calidad y consistencia de la información.
Requisitos
- 1 año de experiencia en análisis de datos o prácticas profesionales.
- Conocimientos en Excel , SQL y alguna herramienta de visualización (Power BI , Tableau o similar).
- Bases sólidas en estadística y manejo básico de bases de datos .
- Nivel de inglés B2 .
- Capacidad analítica, atención al detalle y orientación a resultados.
- (Deseable) Conocimientos básicos de Python, PySpark o R (no excluyente).
- Licenciatura terminada o título reciente en Matemáticas, Estadística, Ingeniería, Economía o áreas afines.
Lo que te ofrecemos
Formarás parte de un equipo dinámico que impulsa la transformación digital y la toma de decisiones basada en datos dentro de Grupo Modelo. Aquí podrás aprender, desarrollarte y crecer profesionalmente en un ambiente colaborativo.
Junior Data Analyst
Publicado hace 21 días
Trabajo visto
Descripción Del Trabajo
**We're hiring!**
At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!
We have an exciting opportunity for an exceptional individual to work supporting one of our client
**Skills & Qualifications Required**
+ Accurate data entry and data formatting
+ Ability to create excel formulas Using advanced functions like VLOOKUP, HLOOKUP, and INDEX-MATCH
+ Summarizing data with PivotTables and Pivot charts
+ Data cleansing and deduplication in Excel
+ Skill in creating basic charts and graphs for visualization
+ Educational Attainment: Has/Pursuing Undergraduate Degree with at least 1-2 years of relevant experience
**Scope & Accountability**
+ Manage Territory change requests assuming the correct level of approval is provided.
+ Manage Role Forecast Hierarchy requests assuming the correct level of approval is provided.
+ Support the business stakeholder or analyzing Role/Forecast Hierarchy and Territory for new year sales planning (Goal for Growth).
+ Assist customers Territory Operations team on special projects on an ongoing basis.
+ Assist in resolving Opportunity ownership issues in relates to Account ownership and/or Role Forecast Hierarchy and communicate appropriate guidelines to customer's Account Executives
**Why Cognizant?**
Improve your career in one of the largest and fastest growing IT services providers worldwide
Receive ongoing support and funding with training and development plans
Have a highly competitive benefits and salary package
Get the opportunity to work for leading global companies
We are committed to respecting human rights and build a better future by helping your minds and the environment
We invest in people and their wellbeing.
We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.
At Cognizant we believe than our culture make us stronger!
Join us now!
#BeCognizant #IntuitionEngineered
Igualdad de Empleo y Política de Acción Afirmativa:
Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Junior Data Analyst
Hoy
Trabajo visto
Descripción Del Trabajo
Junior Data Analyst
Hoy
Trabajo visto
Descripción Del Trabajo
En Grupo Modelo seguimos creciendo
Estamos buscando un Jr. Data Analyst para unirse a nuestro equipo y ayudarnos a crear más motivos para brindar
Si te apasiona el mundo de los datos, tienes bases sólidas y entusiasmo por convertir información en decisiones estratégicas para la empresa, esta oportunidad es para ti
Ubicación y Horario
Aguascalientes – Parque Tres Centurias
Lunes a sábado de 8:00 a.m. a 5:00 p.m.
¿Qué harás?
- Apoyar en la recopilación, depuración y mantenimiento de datos.
- Elaborar reportes y dashboards con acompañamiento y supervisión.
- Realizar análisis descriptivos para identificar patrones y tendencias.
- Colaborar con distintos equipos para comprender y atender necesidades de datos.
- Garantizar la calidad y consistencia de la información.
Requisitos
- 1 año de experiencia en análisis de datos o prácticas profesionales.
- Conocimientos en Excel, SQL y alguna herramienta de visualización (Power BI, Tableau o similar).
- Bases sólidas en estadística y manejo básico de bases de datos.
- Nivel de inglés B2.
- Capacidad analítica, atención al detalle y orientación a resultados.
- (Deseable) Conocimientos básicos de Python, PySpark o R (no excluyente).
- Licenciatura terminada o título reciente en Matemáticas, Estadística, Ingeniería, Economía o áreas afines.
Lo que te ofrecemos
Formarás parte de un equipo dinámico que impulsa la transformación digital y la toma de decisiones basada en datos dentro de Grupo Modelo. Aquí podrás aprender, desarrollarte y crecer profesionalmente en un ambiente colaborativo.
Associate Data Analyst - Automotive Supply Chain & Technology
Publicado hace 15 días
Trabajo visto
Descripción Del Trabajo
**Grade Level (for internal use):**
07
**About the** **Role:** Associate Data Analyst - Automotive Supply Chain & Technology
**The Team:**
The S&P Global Mobility - Supply Chain & Technology team is in search of a Data Analyst **.** The position's focus is to enable our global research team and ensure that our 100+ data forecasts are published monthly on time and fully valid, bringing customer delight and financial growth for SPGI. This position will respond to our global research teams requests for adjustments to our internal forecasting tool. This consists of metadata changes, data dictionaries and publication processes. This role will work along with others in the system development team to proactively increase efficiencies and quality. Alongside this, the position will be able to execute various data manipulation and data analysis on an ad-hoc cadence, in a timely manner.
**Responsibilities and Impact**
+ Understand, organize, prioritize, and implement requested changes into the forecasting tool within a short time frame.
+ Effectively communicate the status of requests with estimates to the research team and leadership on estimated completion.
+ Document user challenges and devise potential solutions, ensuring leadership is aware of common and urgent issues.
+ Triage user issues through necessary channels.
+ Occasionally carrying out ad-hoc data manipulation tasks, from data aggregation, data joins, data cleansing, transposing, to renaming etc.
**What We're Looking For:**
**Basic Required Qualifications:**
+ **Educational Background: Bachelor's degree in a relevant field.**
+ **Technical Skills** : Strong knowledge of MS Excel, Word, and PowerPoint.
+ **Technical Knowledge:** Knowledge of Python and Generative AI is desirable, providing a foundation for data analysis and innovative solutions.
+ **Problem-Solving Skills** : Strong analytical thought process and a drive for learning.
**Additional Preferred Qualifications:**
+ **Problem-Solving Skills** : Strong analytical thought process and a drive for learning.
+ **Communication Skills** : Strong written and verbal communication skills.
+ **Team Collaboration** : Ability to work effectively with a geographically dispersed Operations team
+ **Attention to Detail** : High attention to detail and accuracy in data management tasks.
+ **Data Visualization Proficiency:** Familiarity with data visualization tools such as Power BI, enabling effective communication of insights through visual storytelling.
**About S&P Global Mobility**
S&P Global has recently announced ( the intent to separate our Mobility Segment into a standalone public company.
**About S&P Global Mobility**
At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Entry Professional (EEO Job Group)
**Job ID:**
**Posted On:**
**Location:** Virtual, Mexico
Data Scientist
Publicado hace 5 días
Trabajo visto
Descripción Del Trabajo
About the Job
Help serve America and Oceania region’s countries with data driven solutions. Data Scientists at Toyota Financial Services provide quantitative support, international regulatory standards compliance, and strategic perspective to the countries in the AOR region. This team acts as an internal consulting unit focused on the development, monitoring, and validation of models with high business impact and exposure. As part of the Data Science team, you will make critical recommendations to the different stakeholders across the region.
Minimum qualifications:
- Bachelor’s degree in Economics, Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, Physics, Finance, or a related quantitative field.
- 3+ years of work experience using analytics to solve product or business problems based on statistical analysis, statistical modeling, and coding (e.g. Python, R, SQL).
- Strong ability to communicate complex business problems and solutions in English and Spanish fluently to interact with regional and local stakeholders.
- Proactive mindset, international perspective, and openness to working on a hybrid model with occasional travel (<10%).
- Version control techniques knowledge (GitHub, Git).
Preferred qualifications:
- Master’s degree or Ph.D. in Statistics, Mathematics, Data Science, Engineering, Physics, Economics or a related quantitative field.
- Experience with statistical and quantitative modeling, forecasting, and machine learning techniques.
- Experience with analytics, data, and client focused solutions.
- Experience in Model Governance (e.g. model deployment, documentation)
Responsibilities
- Partnering with stakeholders to understand business challenges and deliver data-driven decisions.
- Build new processes, procedures, methods, tests, and components that support business needs.
- Developing or validating predictive models (IFRS9, acquisition scorecard, collections scorecards) using advanced statistical and machine learning techniques.
- Translating insights into recommendations through compelling data visualizations (e.g., Tableau, Power BI, Dash).
- Participating in project planning and mentoring junior analysts on best practices.
- Ensuring quality standards and documentation of modeling processes.
- Commitment to continuous learning and professional development by staying up-to-date with emerging tools, technologies, and methodologies.
Location : Mexico City (Hybrid model)
Data Scientist
Publicado hace 5 días
Trabajo visto
Descripción Del Trabajo
Who we are:
LER TechForce is an industry leader in embedded controls, software, functional safety, and engineering IT talent. For over 20 years LER has been working with customers across North America to meet their engineering resource challenges.
We are looking for a proactive Data Scientist with 4+ years of experience to join our team. This role will involve collaborating closely with Product Owners and Data Engineers to develop advanced algorithms and digital features. You will be working primarily with time series data from various controllers that transmit data via telematics, with a focus on descriptive and predictive modeling to optimize equipment uptime and minimize downtime. Our products serve the Mining and Power Generation sectors worldwide, requiring expertise in data science with a controls engineering background and the ability to work in a global, cross-functional environment.
What you will be doing:
- Develop new or modify existing algorithms and features that leverage Python, SQL, Databricks, and PySpark to enhance data analytics and processing capabilities.
- Design, implement, and validate descriptive and predictive models, utilizing time series data to assess and predict equipment downtime and failure modes.
- Tune existing machine learning models.
- Work collaboratively with Product Owners and Data Engineers to define requirements, gather and curate data, and develop digital solutions to enhance equipment reliability and performance.
- Process and curate data from controllers across telematics systems, ensuring data quality and readiness for model training and development.
- Analyze, interpret, and model time series data to drive actionable insights for product performance and predictive maintenance.
- Communicate findings, challenges, and solutions effectively with global teams, stakeholders, and non-technical audiences.
- Proficiency in Python and SQL
- Experience with PySpark for big data processing
- Databricks
- Experience with tuning machine learning models
- Solid understanding of time series data analysis and predictive modeling
- Experience with real-time telemetry data acquisition from a network of distributed Modbus controllers is a plus.
- Industry experience with embedded controls for industrial or automotive applications
- Experience working in Mining, Power Generation, or related heavy equipment industries
- Familiarity with data engineering and pipeline development
- Experience with global teams and the ability to navigate cross-cultural interactions
- Full benefits: medical, dental, 401K match
- Ongoing professional development opportunities
- Flexible Hybrid schedule
- The opportunity to work on industry leading projects
- College, university, or equivalent Bachelor's degree in Engineering or other relevant technical disciplines.
- Minimum of 4 years of hands-on experience in data science, with a background in embedded controls engineering preferred.
- Proficiency in Python and SQL.
- Experience with PySpark for big data processing.
- Azure cloud experience is highly desired.
- Databricks experience is highly desired.
- Solid understanding of time series data analysis and predictive modeling.
- Proactive, self-motivated, and capable of working independently in a global team environment.
- Strong problem-solving skills with a proactive attitude and attention to detail.
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Data Scientist
Publicado hace 6 días
Trabajo visto
Descripción Del Trabajo
We are looking for a Data Scientist to join the team, responsible for developing and sustaining statistical forecasting and analytics capabilities. This role will focus on building deployable time series forecasting models and machine learning solutions that directly impact forecast accuracy and bias , supporting key business functions across multiple regions and domains.
Responsibilities
- Design, build, and maintain statistical and machine learning models for time series forecasting in the context of integrated business planning.
- Contribute to forecasting engine , ensuring scalability, reliability, and performance in production environments.
- Collaborate closely with process owners, product owners, and business stakeholders to translate forecasting needs into robust technical solutions.
- Productionize data science models and pipelines, ensuring they are deployable, scalable, and maintainable.
- Work with distributed technologies (e.g., Spark, Python, Azure services ) to handle large-scale forecasting tasks.
- Monitor, evaluate, and improve forecast accuracy and bias through continuous iteration and model enhancement.
- Support cross-functional initiatives by providing data-driven insights and analytical expertise.
Required Qualifications
- Solid hands-on experience in productionizing Data Science solutions .
- Strong expertise in time series forecasting techniques (ARIMA, ARIMAX, Holt-Winters, regression analysis, etc.).
- Proficiency in Python for statistical modeling and machine learning.
- Experience with distributed data solutions (Spark, Azure services).
- Strong problem-solving skills, with the ability to work closely with both technical and business teams.
Preferred Qualifications
- Experience in machine learning model deployment in cloud environments (Azure preferred).
- Familiarity with Agile development processes.
- Strong communication and storytelling skills, with the ability to present insights to business stakeholders.
Ideal Candidate
The ideal candidate is a hands-on Data Scientist with a passion for solving complex forecasting challenges, skilled at building scalable solutions, and eager to collaborate with both technical peers and business partners to drive measurable improvements in forecasting accuracy.
We offer:
- 100% payroll scheme, benefits by law (IMSS, INFONAVIT, 12+ vacation days)
- Benefits above the law: Vacation premium 50%, 5 PTOs, 3 sick days, 10 guaranteed public holidays per year
- Major medical insurance, Dental and Vision plan for an employee and direct family members
- Minor Medical Insurance (Multiservicios Médicos Santander) for an employee and direct family members
- Life Insurance and funeral expenses
- 5% savings fund, uncapped (matched by the company in the end of the year)
- Grocery cards/vouchers (Vales de Despensa)
- 30 days End of the Year Bonus (Aguinaldo)
- Opportunity to work on bleeding-edge projects with a highly motivated and dedicated team all over the world
- Individual career development plan and support from the best experts
- Professional development opportunities (Linkedin Learning, Cloud certification programs, access to corporate LMS integrated with other learning platforms)
- Well-equipped office in a business area of Guadalajara (quiet room, games room, air hockey, PS5, Nintendo Switch and Xbox Series X, pool table, ping pong, snacks, smoothies, and much more)
- Corporate social events (yoga, massages, sport tournaments, discussion panels, technical talks, lunch & learns)
- Flexible working hours
- Opportunity to relocate to another country where the company's offices are present.
About Us:
Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.
To learn more about Grid Dynamics, please visit Follow us on Facebook, Twitter, and LinkedIn.
Data Scientist
Publicado hace 6 días
Trabajo visto
Descripción Del Trabajo
We are seeking a Data Scientist to support a client’s delivery platform and AI integration initiatives. This role will own the development of advanced data models, analytics, and machine learning solutions to enable AI-driven insights.
Responsibilities
- Build evaluation pipelines for AI/ML solutions supporting agentic services
- Design and implement models for data engineering, advanced analytics, and machine learning
- Apply expertise in Python, R, and SQL to deliver high-quality, enterprise-grade solutions
- Collaborate with full stack engineers and architects to integrate models into enterprise platforms
- Lead technical discussions and present recommendations to executive stakeholders
- Contribute to continuous improvement of evaluation frameworks and methodologies
Qualifications
- 10+ years of professional experience in computer science, data science, or related technical fields
- Proven expertise in Python, R, and SQL, with demonstrated delivery of scalable data science solutions
- Strong foundation in data engineering, feature engineering, modeling, and statistical analysis
- Experience with modern cloud platforms (Azure, AWS, or GCP) and production deployment of ML models
- Track record of leading teams, mentoring junior talent, and managing executive stakeholders
- Ability to design and deliver AI/ML pipelines in complex enterprise environments
Data Scientist
Publicado hace 9 días
Trabajo visto
Descripción Del Trabajo
Title: Data Scientist
Duration: 12+ Months
Location: Guadalajara, Mexico - 5 days in Office
Responsibilities
• Design and build end-to-end data pipelines: ingestion, transformation, labeling, feature engineering, training, validation, and deployment.
• Develop and maintain reproducible ML research workflows using Jupyter/Colab notebooks and version-controlled environments.
• Lead data labeling strategy: define annotation guidelines, ensure data quality, and automate labeling where possible.
• Conduct exploratory data analysis (EDA) and create scalable datasets for supervised and unsupervised ML.
• Train, evaluate, and optimize ML models, ensuring performance across multiple environments (dev, staging, prod).
• Implement MLOps best practices: experiment tracking, pipeline automation, CI/CD for ML, and monitoring model drift.
• Collaborate with cross-functional teams (ML engineers, software developers, product managers) to translate research outcomes into production-ready solutions.
• PhD in Computer Science, Data Science, Statistics, Applied Mathematics, or related field.
• 3+ years of research and applied industry experience in data science or ML.
• Proven experience in designing, building, and maintaining end-to-end ML pipelines.
• Strong programming skills in Python, with expertise in libraries like pandas, NumPy, scikit-learn, TensorFlow/PyTorch.
• Proficiency with notebook-based experimentation and data labeling pipelines.
• Solid understanding of statistical modeling, machine learning algorithms, and data quality management.
• Experience with SQL and data warehouses/lakes for large-scale data processing.
• Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, Vertex AI, SageMaker).
• Familiarity with cloud platforms (GCP, and containerization (Docker/Kubernetes).
• Experience automating data labeling workflows (e.g., active learning, weak supervision).