Analytics Manager

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.

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.

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.

Join Inetum as a Mid-Level Java Developer and be part of our innovative team in Mexico City. You will work on exciting projects that impact our clients' success. We are looking for a talented individual who is passionate about coding and eager to learn.

Join our dynamic team as a Java Developer where you will have the opportunity to work on innovative projects that shape the future of technology. As a mid-level developer, you will be responsible for designing, developing, and maintaining robust Java applications, collaborating closely with cross-functional teams, and ensuring the highest standards of code quality.

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.

ALTEN México brings together more than 600 engineers and specialists to deliver technology solutions and product development for clients in automotive, energy, aerospace, banking, insurance, telecommunications, multimedia, and rail. The company supports a wide range of projects, encouraging collaboration and professional growth. Role overview This Mid-Level Technical Test Manager position is based in Mexico City. The role centers on coordinating technical testing for complex projects, ensuring that testing activities are thorough and aligned with project goals. Main responsibilities Oversee technical issues from identification through resolution across assigned projects. Collaborate with team members to define project scope, plan requirements, and estimate testing timelines. Identify risks and communicate status and results in meetings and written reports. Define and monitor testing activities to ensure comprehensive coverage. Analyze testing data in Jira and generate key performance indicators (KPIs). Lead Scrum events to keep the team coordinated and on schedule. Identify and manage hardware dependencies for complete end-to-end testing.

Join our dynamic team as a Mid-Level Java Developer at Inetum, where you will contribute to innovative software solutions that propel our clients into the future. You will be responsible for developing, testing, and maintaining high-quality applications using Java technologies. Collaborate with cross-functional teams to ensure seamless integration and functionality of software systems.

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.

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.

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.

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.

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 our dynamic team at inetum2 as a BI/Data Engineer, specializing in Level 2 Support. This is an exciting opportunity for individuals looking to leverage their data engineering skills in a supportive environment. You will be responsible for troubleshooting and resolving data-related issues, ensuring optimal performance of BI tools, and collaborating closely with cross-functional teams to deliver exceptional data solutions.

Join ALTEN Mexico as a Mid-Level Python Developer! We are seeking a skilled Data Scientist with a solid background in developing models using Python. The ideal candidate will be adept at technical documentation, data validation, and standardizing models for deployment in production environments. You will work closely with Machine Learning Engineering and MLOps teams to prepare and ensure model reproducibility across different settings.Main ResponsibilitiesIdentify, document, and map model inputs (sources, formats, frequency) and expected outputs.Document feature construction processes.Record technical dependencies (libraries, versions, configurations).Assist in standardizing and documenting technical aspects of models for production deployment.Collaborate with ML/MLOps engineers to prepare models for deployment in GCP.Apply data validation methodologies and consistency testing.Identify, analyze, and document result discrepancies and trace root causes.Propose technical adjustments to ensure reproducibility and consistency across environments.Create clear and reusable documentation for model maintenance.

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.

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.

SimplePractice is launching its first office in Mexico City. Roles here follow a hybrid schedule, blending on-site collaboration with remote work options. Headquartered in Los Angeles, SimplePractice supports health and wellness professionals by providing tools for private practice. The company’s team includes colleagues from the United States, Dominican Republic, Mexico City, and Ukraine. Over 250,000 providers use SimplePractice’s software to manage and grow their businesses. The platform simplifies daily operations, covering everything from administrative tasks to clinical care, and serves both solo practitioners and small groups. SimplePractice has earned recognition from MedTech Breakthrough and Digital Health Awards. BuiltIn named the company one of the Best Places to Work, and it appears on the Best Places to Code list in Mexico. Our values Think big Take simplicity seriously Come as you are Act with humility Build on trust Everyone at SimplePractice helps maintain and grow the company’s culture. The team values collaboration and connection, working closely across borders. Employees can participate in in-person meetups in both the U.S. and Mexico.