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Experience Level
Entry Level
Qualifications
To succeed in this role, you should possess strong problem-solving skills, excellent communication abilities, and a deep understanding of technical systems. A Bachelor’s degree in Computer Science or a related field is preferred, along with experience in customer support or technical assistance. Familiarity with software development and troubleshooting methodologies is a plus.
About the job
Join our dynamic team at NielsenIQ as a Support Engineer, where you'll play a crucial role in providing technical assistance and solutions to our clients. This is an exciting opportunity to work with cutting-edge technology and help our customers maximize their experience with our services. You will be responsible for troubleshooting issues, guiding clients through complex processes, and ensuring their satisfaction with our innovative solutions.
About NielsenIQ
NielsenIQ is a global leader in data analytics and consumer insights, empowering businesses to make data-driven decisions. With a commitment to innovation and excellence, we are dedicated to helping our clients navigate the complexities of the modern marketplace. Join us in shaping the future of data science and consumer behavior.
Tala is focused on expanding access to financial services for underserved communities through AI-driven credit infrastructure. With a presence in Africa, Latin America, and Asia, Tala has distributed over $7 billion to 13 million customers. The company’s data platform is designed to support thin-file borrowers and help unlock economic opportunities worldwide. Recognition for Tala’s work includes multiple selections for CNBC’s Disruptor 50, appearances on Forbes’ Fintech 50 list, and inclusion in CNBC’s World's Top Fintech Companies. The team operates remotely, with regional hubs including Mexico City. Role overview The Analytics Engineer II will focus on building and maintaining Tala’s data presentation layer. This work ensures that data remains reliable, well-aggregated, and accessible across the organization. The position involves close collaboration with cross-functional teams to enhance data infrastructure and deliver self-service tools and training for analysts. The aim is to empower teams to draw insights and improve company-wide data accessibility. Location This role is based in Mexico City.
PayJoy is looking for a Senior Analytics Engineer based in Mexico City. This position centers on transforming complex data into actionable insights that guide business decisions and support company growth. Main responsibilities Examine data sets to identify patterns, trends, and opportunities for improvement Convert analytical findings into clear recommendations that inform business strategy Work closely with cross-functional teams to assist with projects and drive process enhancements Collaboration This role involves frequent interaction with colleagues across departments. The Senior Analytics Engineer helps support key initiatives and looks for ways to make company operations more effective.
At Tiger Analytics, we pride ourselves on being a leading advanced analytics consulting firm. Trusted by numerous Fortune 100 companies, we empower our clients to unlock substantial business value from their data. Our talented consultants possess extensive expertise in Data Science, Machine Learning, and AI. Our commitment to delivering business value and leadership excellence has earned us recognition from esteemed market research firms, including Forrester and Gartner. We are seeking an individual who possesses a unique combination of business consulting acumen and a solid background in data analytics. Key Responsibilities: Leverage cutting-edge data science applications to address complex business challenges. Collaborate closely with client stakeholders to convert business challenges into high-level analytics solution designs. Articulate analytic solutions to business audiences, emphasizing the robustness of the solution and its potential to drive business value. Design comprehensive solutions by gaining an in-depth understanding of business challenges, ensuring that analytics solutions are delivered efficiently, predictably, and sustainably. Oversee analytics projects while collaborating with client stakeholders and Tiger’s global team. Engage in collaborative discussions with team members to select and implement relevant analytic techniques, generating actionable business insights. Deliver presentations to senior management, communicate results to business teams, and develop strategies to operationalize analytic solutions.
Full-time|Remote|Remote — Mexico City, Mexico City, Mexico
Tiger Analytics is a leading global AI and analytics consulting firm dedicated to leveraging data and technology to deliver impactful solutions. Our diverse team of over 3,400 professionals is committed to solving complex challenges that positively affect millions around the world. Our culture emphasizes expertise, respect, and a collaborative team-first mindset. With our headquarters in Silicon Valley, we operate delivery centers globally, including extensive remote operations across India, the US, the UK, Canada, and Singapore.We are proud to be Great Place to Work-Certified™. At Tiger Analytics, you’ll be at the forefront of an AI revolution, collaborating with innovative teams to push the boundaries of what's possible and develop solutions that inspire and energize.
Full-time|On-site|Mexico City, Mexico City, Mexico
ALTEN México is seeking a skilled Mid-Level Data & Analytics Engineer with a focus on Machine Learning. The ideal candidate will possess expertise in standardizing models, preparing execution environments, versioning, and deploying solutions on Google Cloud Platform (GCP) while adhering to best practices in MLOps. Responsibilities include documenting, optimizing, and ensuring the portability and scalability of models within the cloud data ecosystem.Main ResponsibilitiesCollaborate on standardizing code structure, notebooks, and configuration management.Manage versioning of dependencies, models, and artifacts.Assist in preparing execution environments (Docker, requirements, configurations).Adapt models for GCP services (Vertex AI, Cloud Run).Create clear documentation on model execution, pipelines, and deployment procedures.Propose technical improvements based on prior experience.Design and implement machine learning pipelines tailored to the GCP ecosystem.Ensure scalability for varying data volumes or request loads.
Full-time|Remote|Remote — Mexico City, Mexico City, Mexico
Tiger Analytics is at the forefront of revolutionizing analytics through cutting-edge technology and innovative solutions tailored for our clients. As a premier advanced analytics consulting firm, we collaborate with organizations to harness their data effectively, driving significant business results. With a robust emphasis on artificial intelligence and data science, we empower Fortune 100 companies to unlock the full potential of their data with scalable and efficient engineering solutions.We are excited to announce an opportunity for a Data Engineering Lead to guide our data initiatives. In this pivotal role, you will design and implement data engineering projects, ensuring a robust data architecture while leading a team of engineers to deliver high-quality data solutions. You will work in close collaboration with cross-functional teams to guarantee that our data strategies align seamlessly with business objectives and yield actionable insights.
About TalaAt Tala, we leverage cutting-edge technology and innovative thinking to tackle challenges that traditional institutions either cannot or will not address. As a global financial infrastructure entity, our mission is to unlock the economic potential of the majority worldwide, acknowledging that current financial systems often fail to serve large segments of the population.We are pioneering a unique platform that integrates the analytical capabilities of a credit bureau, the payment functionalities of a fintech, and the relational insights of a banking institution into a singular, comprehensive solution. Our platform benefits from a vast proprietary data ecosystem and advanced AI/ML decision-making technologies, enabling us to provide immediate, reliable liquidity tailored to the distinct needs of each customer. To date, through our flagship credit application, we have disbursed over $7 billion in credit to more than 12 million customers across Latin America, Southeast Asia, and East Africa, empowering them to launch and grow small businesses, manage daily expenses, and achieve their financial aspirations.Our innovative efforts and tangible impact have garnered us consistent accolades, including:- A spot on CNBC’s Disruptor 50 for five consecutive years.- Recognition as one of CNBC’s World’s Top Fintech Companies for two years running.- Inclusion in Forbes’ Fintech 50 list for nine straight years.Visionary investors, motivated by the economic potential of the global majority, have invested over half a billion dollars in equity and debt to support Tala's growth.Operating on a remote-first basis, our team is spread across several office hubs, including Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, Philippines; and Bangalore, India.Most Talazens are drawn to our mission. If you are passionate about the positive impact you can create at Tala, we would love to hear from you!The RoleWe are seeking a Senior Analytics Engineer who will enhance the way data informs decision-making across our organization. In this role, you will be responsible for the design, development, and optimization of our presentation layer, transforming raw data into trusted, accessible insights for our business and product teams. Collaborating with data engineers, analysts, and business stakeholders, you will refine our data ecosystem, guarantee data reliability, and implement scalable best practices that make analytics faster, clearer, and more impactful.This is a hands-on, high-visibility position ideal for someone who enjoys tackling complex data challenges, mentoring colleagues, and establishing the foundation for a data-driven culture.
Tiger Analytics is at the forefront of leveraging AI and analytics to tackle some of the most challenging issues faced by organizations worldwide. We deliver customized solutions driven by data and technology for numerous Fortune 100 companies. With offices in various locations across the US, UK, India, and Singapore, we also boast a significant remote workforce that operates globally.As leaders in AI and analytics consulting within the retail and consumer packaged goods (CPG) sectors, more than 40% of our revenue stems from this rapidly expanding field. To enhance our capabilities, we are expanding our talent pool in this area.We are currently seeking a Principal Data Scientist who combines exceptional analytical skills with extensive knowledge of data science methodologies and practical experience in applying algorithms to address real-world business challenges.
Business Intelligence (BI) Analytics EngineerAt SunnyData, we are dedicated to guiding our clients through their data journeys, helping them harness the power of data to drive their businesses forward. We believe that a strong foundation is crucial for achieving exceptional data-driven results, including scalable architectures, robust data engineering pipelines, user-friendly data consumption layers, and precise ML and AI applications. We are in search of a Business Intelligence (BI) Analytics Engineer who will play a pivotal role in supporting our ongoing reporting and data engineering requirements. This position will primarily focus on creating and managing business reports across various BI tools, as well as executing data modeling and transformation with extensive datasets.A proactive approach, excellent communication abilities, and a collaborative spirit are essential for success in this role.The Impact You Will Have1. Business Intelligence & ReportingDevelop, modify, and maintain dashboards and reports utilizing BI tools like PowerBI, Tableau, and Databricks AI/BI.Translate business requests (submitted via a ticketing system) into actionable data visualizations.Ensure uniformity in definitions, metrics, and data logic across all reports.Optimize queries and dashboards for enhanced performance and clarity.Document the logic and assumptions that underpin key metrics and dashboards.2. Data Engineering & Data ModelingPossess advanced SQL knowledge and demonstrated proficiency in writing and optimizing SQL queries.Create and maintain database views, derived tables, and other analytical objects to meet reporting requirements.Demonstrate experience in dashboard engineering projects, emphasizing storytelling and usability.Conduct data modeling and transformation tasks to ensure reliable downstream reporting.Identify and resolve data discrepancies while validating data accuracy across systems.Collaborate on enhancements to data structure and warehouse organization as necessary.3. Deliverables & Success CriteriaDeliver accurate, well-documented dashboards within agreed service level agreements (SLAs).Provide clean, reusable SQL objects that support long-term reporting needs.Enhance clarity and consistency in metric definitions.Minimize back-and-forth communication on reporting requests due to thorough documentation and clarity.
About WPPWPP serves as the trusted growth partner for the world’s leading brands. We integrate cutting-edge media intelligence, data solutions, world-class creativity, next-gen production, transformative enterprise solutions, and expert strategic counsel into a single entity—powered by outstanding talent and our dynamic marketing platform, WPP Open. We empower our clients to navigate change, seize opportunities, and achieve transformational growth. For further details, visit WPP.com.About WPP MediaWPP is at the forefront of creative transformation. We harness creativity to forge better futures for our people, planet, clients, and communities. Discover more at wpp.com.WPP Media represents WPP’s global media collective. In an era where media permeates every aspect of life, we unite the best platforms, people, and partners to create limitless growth opportunities. Check out wppmedia.com for more information.At WPP Media, we take pride in our culture and our people, which empowers us to deliver exceptional experiences for our clients and each other. In this role, embracing WPP & WPP Media’s shared core values will be essential:Be Extraordinary by Leading Collectively to Inspire Transformational Creativity.Create an Open environment by Balancing People and Client Experiences through Cultivating Trust.Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
About TalaAt Tala, we harness cutting-edge technology and the ingenuity of human creativity to tackle the challenges that traditional institutions either cannot or will not address. As a global leader in financial infrastructure, our mission is to empower the economic potential of the global majority, acknowledging that current financial systems fail to serve a significant portion of the world's population.We are proud to be the first and only platform that merges the analytical prowess of a credit bureau, the payment capabilities of a fintech, and the relational expertise of a bank into a cohesive, vertically integrated solution. Our platform is fortified by an extensive collection of proprietary data and advanced AI/ML decision-making technology, allowing us to provide immediate, reliable access to liquidity tailored to the unique needs of each customer. Through our flagship credit application, we have successfully disbursed over $7 billion in credit to more than 12 million customers across Latin America, Southeast Asia, and East Africa. Our customers utilize Tala products to launch and grow small businesses, manage everyday expenses, and achieve their financial aspirations.Our groundbreaking initiatives and proven impact have garnered us consistent accolades, including recognition in:CNBC’s Disruptor 50 for five years running.CNBC’s Top Fintech Companies globally for two consecutive years.Forbes’ Fintech 50 list for nine consecutive years.Visionary investors, inspired by the economic potential of the global majority, have invested over half a billion dollars in equity and debt to propel Tala's success.With a globally distributed team, we embrace a remote-first working culture, with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, Philippines; and Bangalore, India.Many of our team members, known as Talazens, join us due to their passion for our mission. If you are inspired by the impact you can make at Tala, we encourage you to reach out!The RoleAs a Senior Product Analyst, you will serve as a vital partner to Product, Engineering, and Design teams, guiding product direction through meticulous analysis, strong product intuition, and comprehensive ownership of metrics, instrumentation, and experimentation. This role blends analytical expertise with product insight, enabling teams to decipher user behavior, validate ideas, spot growth opportunities, and make swift, informed decisions. The Senior Product Analyst will operate independently, lead the analytical strategy for their product area, and ensure that the product team is equipped with a robust analytical foundation.
Full-time|On-site|Mexico City, Mexico City, Mexico
ALTEN México es una destacada subsidiaria del Grupo ALTEN, un líder global en ingeniería y tecnologías de la información con más de 30 años de experiencia. Operamos en 30 países alrededor del mundo, con un equipo de más de 46,000 empleados, de los cuales el 88% son ingenieros altamente capacitados.Estamos en búsqueda de un Data Analytics Support Specialist para unirse a nuestro equipo. Las responsabilidades incluyen:Gestión y análisis de bases de datos comerciales, operativas y administrativas.Creación y mantenimiento de reportes, controles y tableros de seguimiento.Soporte a procesos administrativos, facturación, auditorías y conciliaciones.Monitoreo de operaciones relacionadas con flotas y esquemas especiales, garantizando la consistencia de la información.Asistencia en la estandarización de procesos y mejora continua basada en datos.
Join Anton Paar, a global leader in the field of laboratory analytical instrumentation, as a Technical Sales Representative. In this role, you will be responsible for presenting and selling our high-quality analytical instruments to laboratories across various industries. You will work closely with clients to understand their needs and provide tailored solutions, ensuring they receive the best products and services available. Your expertise will drive customer satisfaction and foster long-term relationships.
Join Nielsen Holdings plc as a Data Processing Specialist II and play a pivotal role in managing and processing complex data sets to support our analytics and reporting functions. You will be responsible for ensuring data integrity, accuracy, and timely delivery of processed data.
Role Overview Nielsen is hiring a Technical Account Manager II in Mexico City. This role focuses on building strong relationships with clients and helping them get the most from Nielsen’s technology and solutions. The position involves guiding clients through technical questions and making sure our services support their business goals.
Join our dynamic team at NielsenIQ as a Support Engineer, where you'll play a crucial role in providing technical assistance and solutions to our clients. This is an exciting opportunity to work with cutting-edge technology and help our customers maximize their experience with our services. You will be responsible for troubleshooting issues, guiding clients through complex processes, and ensuring their satisfaction with our innovative solutions.
ciandt is searching for a Data & Analytics Manager to join the team in Mexico City. This hybrid position requires working onsite at a client office in Polanco two to three times per week. Candidates must submit their CV in English and demonstrate English fluency at C1 level or higher. Role overview This role centers on leading data-driven projects for one of Mexico's largest e-commerce platforms. The Data & Analytics Manager will guide the full lifecycle of data products, from initial concept through development, deployment, and ongoing improvement. The position combines strategic direction with hands-on involvement in daily operations. Key responsibilities Oversee and execute data initiatives, ensuring projects are carefully planned and delivered. Manage data product lifecycles, including enhancements after launch. Develop and maintain tracking strategies to capture behavioral metrics. Translate data into actionable insights and visualizations that support marketing and product decisions. Requirements Fluent English (C1 or higher). Ability to work onsite in Mexico City (Polanco) 2–3 times per week. Experience managing data projects and leading teams. Strong technical skills and analytical mindset. ciandt brings together over 8,000 professionals worldwide and has partnered with more than 1,000 clients over 30 years. The company combines human expertise with AI technology to deliver scalable solutions. Artificial Intelligence is central to the work and culture at ciandt.
We are looking for a talented and experienced Senior Data Engineer to join our dynamic team at NielsenIQ. As a Senior Data Engineer, you will play a critical role in designing, building, and maintaining robust data pipelines that drive our analytics and reporting capabilities. You will work closely with data scientists, analysts, and other stakeholders to ensure high-quality data is readily available to support business decisions.Your expertise in data architecture and engineering will help us enhance our data processing capabilities and ensure scalability and performance of our data solutions.
About WPP MediaWPP is recognized as a trusted growth partner for the world’s foremost brands. By leveraging exceptional talent, reliable data and insights, and world-class collaborations—all integrated through our innovative marketing platform, WPP Open—we empower clients to navigate change, seize opportunities, and achieve transformative growth.WPP Media serves as WPP's AI-driven media operating unit, merging media, data, and partnerships to provide large-scale creative personalization. Through WPP Open and powered by Open Intelligence, our clients gain clear visibility into the effectiveness of their media investments.To learn more, visit wppmedia.com.WPP is also the creative transformation company, utilizing the power of creativity to forge better futures for our employees, the planet, clients, and communities. For further details, please visit wpp.com.At WPP Media, we value the strength of our culture and our people, which enhances our ability to provide exceptional experiences for both our clients and one another. In this position, it is essential to embody WPP and WPP Media’s core values:Be Extraordinary by Leading Collectively to Inspire Transformational Creativity.Create an Open environment by Balancing People and Client Experiences through Cultivating Trust.Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Job Overview:As a Senior Implementation Engineer at RetailNext, you will oversee the technical deployment of our innovative products and analytics solutions. Reporting to the Implementation Engineering Team Leader, your responsibilities will encompass planning, installation, and comprehensive documentation tailored for diverse customer accounts. Additionally, you will facilitate training sessions for colleagues, vendors, and integrators to ensure smooth operations.Key Responsibilities:Serve as the primary contact for integrator escalations during specific deployment projects.Ensure that all deployments are executed accurately, efficiently, and effectively.Maintain high-quality standards throughout the implementation process.Monitor and document vendor performance in line with management expectations.Adapt to operational needs as required.Required Skills:Proven ability to independently complete all types of RetailNext installations.Expertise in executing RetailNext implementations adhering to company standards.Proficient in navigating RetailNext tools and software systems for administrative tasks.Ability to make informed decisions during live installations to ensure optimal configurations.Strong leadership skills for conducting meetings.Self-motivated and able to work independently.Calm and collected decision-making under pressure.Knowledge Requirements:Moderate understanding of deployment-related processes.Extensive experience in implementing network systems (software and hardware).Intermediate-to-advanced knowledge of TCP/IP networking principles.Intermediate-to-advanced proficiency in UNIX commands.Ability to interpret site surveys, photographs, and floor plans to accurately position RetailNext hardware for optimal coverage during installations.Desired Talents:Expertise in effectively managing vendors to ensure timely project implementations.Ability to thrive in a fluid environment characterized by variable installation conditions.Exceptional communication skills to coordinate comprehensive implementations in a professional manner.What to Expect as a Team Member:Fully remote work environment.Flexible work-from-anywhere policy for up to 90 days each year.Opportunities for autonomy and growth in your career.Flexible schedules that promote ownership and investment in your career.A culture that prioritizes customer satisfaction and innovation.
Mar 11, 2026
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