Data Visualization Specialist at Inetum2 | Mexico City

Join Wizeline as an Editorial Specialist where you will leverage data analytics to enhance editorial processes and content quality. You will work collaboratively with cross-functional teams, utilizing your analytical skills to drive data-informed decisions that elevate our editorial standards.

Join Our Team as a Copy Editor (Finance & Compliance)About Us:Wizeline is a pioneering AI-native technology solutions provider dedicated to crafting innovative, AI-driven digital products and platforms. We collaborate with clients to harness the power of data and artificial intelligence, accelerating their market presence and facilitating transformative business changes. At Wizeline, we cultivate a global community of innovators, encouraging a culture of growth, teamwork, and impactful results.With the right talent and innovative ideas, our potential is limitless.Are You the Right Candidate?If this sounds like a great opportunity, let’s ensure you’re the right fit for the position:Key ResponsibilitiesEdit and proofread content to ensure clarity, grammatical accuracy, consistency, tone, and adherence to regulatory standards.Review and enhance materials to guarantee accurate representation across various formats and channels.Keep track of compliance language updates to ensure they are properly applied in all editorial content.Verify facts, data points, and financial statistics to ensure precision and produce error-free content.Offer strategic editing recommendations based on target audience understanding and communication objectives.Incorporate updates from editorial style guides to maintain high editorial standards.

ALTEN México es parte de Grupo ALTEN, un líder global en ingeniería y tecnologías de la información con más de 30 años de experiencia. Nuestra presencia se extiende a 30 países en Europa, América del Norte, Asia, África y Medio Oriente, con un equipo de más de 46,000 empleados, de los cuales el 88% son ingenieros.Buscamos un Financial Data Analysis Specialist (Mid Level) para analizar, interpretar y gestionar información financiera clave que fortalezca el desempeño del área de Financial Services. Este rol es crucial para la evaluación de KPIs, la elaboración de reportes ejecutivos y la generación de insights que apoyan decisiones estratégicas y comerciales. El candidato ideal debe tener un fuerte nivel analítico, habilidades para colaborar con diferentes áreas y dominio de herramientas digitales y financieras.Responsabilidades:Analizar, consolidar e interpretar KPIs financieros.Elaborar reportes ejecutivos y tableros de seguimiento.Evaluar tendencias, variaciones e indicadores de desempeño.Identificar oportunidades de mejora basadas en datos.Proporcionar soporte analítico a iniciativas de Financial Services.Validar información financiera y asegurar la integridad de los datos.Colaborar con equipos de ventas, finanzas, legal y socios externos.Preparar comparativos contra metas internas y resultados históricos.Gestionar información para cumplimiento, procesos documentales y auditorías.Mantener comunicación con distribuidores para aclaración de datos.

About WatershedWatershed serves as a premier enterprise sustainability platform, empowering leading companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to effectively manage climate and ESG data. Our platform facilitates the generation of audit-ready metrics for both voluntary and regulatory reporting, including CSRD, while driving significant decarbonization efforts. We seek passionate team members who are enthusiastic about product development, eager to contribute to a mission-driven startup, and excited to help shape the culture of a rapidly growing team.With offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and a diverse remote team across the US and Europe, we invite you to consider joining us!The RoleWe are in search of an analytical and detail-oriented manager to lead and expand our Data Specialist team in Mexico City. As a founding leader in our Mexico City office, you will lay the groundwork for our services teams in the region.The Data Specialist team collaborates directly with our clients to facilitate the ingestion of their data into Watershed. The team meticulously reviews raw data provided by customers, seeks necessary clarifications, transforms the data to align with Watershed templates, documents all transformations, and uploads it onto the platform. Our team is dedicated to delivering high-quality professional services and ensuring error-free results. As the manager, you will maintain professional service and quality standards, promote standardization, and coach the team to foster growth.This is a unique opportunity to elevate an already high-performing team within a growth-stage startup that partners with some of the world's leading companies to enhance their sustainability initiatives.You Will:Be a founding leader in our Mexico City office, exemplifying our operating principles, establishing high-quality service standards, and cultivating cultural norms.Manage and mentor a dedicated professional services team of 9 client-facing Data Specialists.Oversee team execution and throughput: plan and prioritize tasks, allocate resources across customer projects, and eliminate obstacles to ensure timely, high-quality delivery.Establish and enforce operational standards: define playbooks, templates, and review protocols to enhance accuracy, consistency, and audit readiness.Collaborate cross-functionally to derive insights, influence the product roadmap, and drive strategic initiatives that align with our mission.

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.

Lifted An Upwork Company seeks a Data Analyst based in Mexico City. This role centers on transforming data into practical insights that shape business decisions and support ongoing company strategies. The analyst will handle large datasets, prepare clear reports, and communicate findings to teams throughout the organization. Key responsibilities Examine complex datasets to identify trends and patterns Develop and maintain reports tailored to a range of business needs Share data-driven insights with stakeholders across the company What we look for Keen attention to detail when working with data Comfort using analytical tools and handling large volumes of information Clear communication skills for presenting findings

About the RoleThe Intelligence Specialist will join our data analysis team, utilizing various sources and tools to extract information. Your mission will be to transform data into actionable insights and identify new opportunities for our clients.Key ResponsibilitiesExtract, process, analyze, and present data focused on strategic objectives for the team and clients.Create detailed reports, including daily, weekly, and monthly alerts and summaries.Continuously monitor social media and media outlets to identify and map topics of interest for our clients, pinpointing both opportunities and threats.Manage alerts and crises by monitoring and measuring impact.Innovate and develop new processes or tools to automate tasks and add value for teams and clients.Define listening and monitoring strategies for brands and internal teams, from query definition to implementation and reporting.Develop trend reports to detect opportunities.Implement new measurement and scoring methods, alongside developing and maintaining KPIs and indicators.Extract, transform, and visualize data for final clients.

Join GoodLeap as an Account Research Specialist and play a pivotal role in enhancing our client engagement strategies. You will be responsible for conducting thorough research to gather insights on potential accounts, identifying key decision-makers, and compiling data that supports our sales initiatives. This position offers a unique opportunity to contribute to our growth by leveraging your analytical skills and attention to detail.

Join our team as an AI Data Specialist to enhance the quality of AI-generated content in Spanish (Mexico). Job Type: FreelanceLocation: Remote WorkWork Schedule: Part-time - 10+ hours per week, with flexible hours.Start Date: ImmediateDuration: To Be ConfirmedCompensation: Varies by location Help Shape the Future of AIIf you are a student, recent graduate, stay-at-home parent, gig worker, or professional looking for flexible remote work opportunities, this role is for you. Contribute to the development and safety of cutting-edge AI models! ResponsibilitiesYour duties will include:- Conducting data collection, evaluation, and annotation.- Performing pairwise comparisons.- Executing counting tasks.- Tagging and labeling objects across various content types such as audio, video, images, and collected data. Qualifications- Spanish Fluency: Native-level proficiency in Spanish (Mexico).- English Proficiency: Fluent or advanced (B2–C2 levels).- AI & Data Skills (Preferred): Experience in machine learning, data collection, preprocessing, evaluation, quality assurance, and annotation. What We Offer- Flexible work schedule- Opportunity for additional income- Prompt payments- Suitable for students, part-time workers, and stay-at-home parents

IndustryTechnical / Data InfrastructureWork ArrangementRemoteJob TypeFull-timeWork ScheduleStandard business hours with required overlap with US Pacific Time (PST)Locations: LATAM: Mexico City (Mexico), Bogotá (Colombia), São Paulo (Brazil), Buenos Aires (Argentina), Caracas (Venezuela), Honduras (Dominican Republic)Anywhere in LATAMAbout Pearl TalentPearl Talent connects elite candidates with leading startups in the US and EU, representing the top 1% of talent globally. Our clients have collectively raised over $5 billion, backed by industry giants such as OpenAI, a16z, and Founders Fund. We seek driven candidates who excel in their fields and can build long-term partnerships with our clients.Discover our mission and values: WATCH HEREWhy Work with Us?At Pearl, we offer more than just job placements; we provide access to exceptional opportunities that allow you to collaborate with visionary founders from the US and EU. Our focus is on your growth, ensuring you are challenged in your role and laying the foundation for a meaningful career.About the CompanyOur client operates at the forefront of technology, combining data, infrastructure, and machine learning to create large-scale datasets that drive advanced analytics and AI solutions. Their work empowers organizations to make informed decisions through real-world visual and geospatial insights, all within a dynamic and ownership-driven environment where data integrity and execution excellence are paramount.Role OverviewThe Infrastructure Analyst will analyze roadway video and imagery to identify, classify, and document infrastructure conditions, which include pavement distresses (such as cracks, potholes, rutting, and raveling), road assets (like signage, markings, and barriers), and surface conditions. This position ensures scalable, accurate, and consistent data delivery.This role is particularly suited for civil engineering graduates eager to apply their expertise in pavements, road construction, and infrastructure assessment within a technologically advanced setting. You will establish standards, resolve complex cases, and serve as the quality authority for datasets.The role involves cross-functional collaboration with Machine Learning and Customer Success teams while leading operational annotation teams. The ideal candidate is decisive, detail-oriented, and thrives in fast-paced environments where speed and accuracy are critical.

Join our innovative team at Horizon Media as a Data Visualization Specialist in the vibrant city of Mexico City. In this role, you will leverage your analytical skills to create compelling visual representations of data, enabling stakeholders to make informed decisions. You will collaborate with various departments to transform complex data sets into understandable and visually appealing formats.

At Veeam, the global leader in data resilience, we empower businesses to manage their data seamlessly, anytime and anywhere. We specialize in providing comprehensive solutions for data backup, recovery, portability, security, and intelligence. Headquartered in Seattle, we proudly safeguard over 550,000 clients worldwide who rely on Veeam to ensure their operations remain uninterrupted. Join us as we embark on a journey of growth and innovation, making a significant impact for some of the world's most prominent brands. The future of data resilience is here—join us and move forward fearlessly.About the Role:Following our acquisition of Securiti AI, the leader in AI-driven data security posture management (DSPM), Veeam is looking for skilled Data & AI Security Specialists to drive growth in this cutting-edge sector.In this position, you will focus exclusively on Securiti AI solutions, collaborating closely with Veeam account executives to cross-sell within our existing customer base, secure new business opportunities, and expand current Securiti AI accounts. You'll share a territory with multiple AEs, enjoy significant earning potential, and receive support from a dedicated Securiti AI solution engineer for technical engagements. Additionally, you will leverage Veeam's extensive go-to-market resources to ensure customer success.

About SimplePractice SimplePractice is a health tech company headquartered in Los Angeles, California, with team members based across the United States, Dominican Republic, Mexico City, and Ukraine. The company builds tools for health and wellness professionals, helping them manage private practices more efficiently and deliver better care to their clients. Over 250,000 providers trust SimplePractice’s software to handle everything from scheduling and billing to clinical documentation. The platform is designed to reduce administrative work so solo and small group practitioners can focus on their clients. Recent recognition includes the MedTech Breakthrough Award for Best Practice Management Solution Provider in 2024 and honors at the 2023 Digital Health Awards. Our Culture SimplePractice’s culture shapes how the team works together and serves customers. Five core values guide the company: Think big Take simplicity seriously Come as we are Act with humility Build on trust Everyone at SimplePractice helps nurture this culture. Collaboration and connection are central, with opportunities to work alongside colleagues from different countries and participate in onsite events in both the US and Mexico. Role Overview: Data Analyst II (Hybrid, Mexico City) The Data Analyst II will help strengthen SimplePractice’s data-driven approach. This position blends technical analysis with strategic problem-solving. Responsibilities include developing metric frameworks, improving reporting pipelines, and uncovering insights that guide teams in Product, Design, Engineering, and other business areas. Daily work involves using SQL, Tableau, and advanced analytics to transform raw data into clear, actionable insights. These insights help stakeholders make informed decisions and track progress toward their goals. The role also includes cross-functional collaboration to define success measures, assess impact, and support ongoing improvement. Additional opportunities include mentoring other analysts and encouraging a culture of innovation. Whether designing experiments, improving user experiences, or translating findings into strategies, the Data Analyst II will influence both business results and customer satisfaction.

Join our dynamic and innovative team at Platacard as an FP&A Analyst, where you will play a pivotal role in shaping our financial strategy. Located in the vibrant Mexico City, you will leverage your expertise to build and enhance financial models, conduct performance analysis, and drive critical strategic initiatives across the organization.Reporting directly to the Head of FP&A, you will collaborate closely with various cross-functional teams, ensuring that financial insights inform our decision-making processes.Key Responsibilities:Develop and maintain comprehensive financial models, forecasts, and budgets segmented by products and channels.Perform variance analysis between planned versus actual financials.Assist in the management of operating expenses through detailed cost analysis and forecasting.Establish and track KPIs to monitor business performance effectively.Provide crucial financial insights to support cross-departmental decision-making.Engage in the budgeting process to ensure alignment with organizational goals.Create analytical reports and notes for senior management review.Streamline and automate financial and business processes for efficiency.Calculate essential metrics, including Customer Acquisition Cost (CAC), Net Present Value (NPV), and Customer Lifetime Value (CLTV).Conduct ad-hoc analyses to facilitate business outcomes.Ensure adherence to internal controls and accounting standards.Collaborate with external auditors during audit processes as required.

Role Overview Wizeline is looking for a Senior Data Analyst to support AI insights and business strategy in CDMX, Mexico. This position focuses on analyzing complex data sets and collaborating with teams across the company. The goal: uncover trends and translate findings into recommendations that guide business decisions. What You Will Do Work with cross-functional teams to gather and interpret data Analyze large, varied data sets to identify key trends and patterns Develop actionable recommendations that influence business strategy Help foster a data-driven culture across Wizeline Support the creation of innovative solutions for clients by providing clear, data-backed insights Location This role is based in CDMX, Mexico.

Join the dynamic team at Planet Fitness as a Business Data Analyst! In this role, you will leverage your analytical skills to derive insights from data, helping drive strategic decisions and optimize business operations. Collaborate with various departments to identify trends and provide actionable recommendations that enhance performance and customer satisfaction.

Join our dynamic team at inetum2 as a Data Visualization Specialist. In this role, you will leverage your analytical skills to transform complex data into insightful visual narratives that drive strategic decision-making. You will collaborate with cross-functional teams to create dashboards and reports that illustrate key performance indicators and business insights.We are looking for innovative thinkers who are passionate about data storytelling and have a knack for presenting information in a clear and engaging manner. Your contributions will directly impact our company's growth and success.

About the CompanyTerry Soot Management Group (TSMG), founded in 2017 in Europe, specializes in data collection where automation falls short. We meticulously gather information through counting, photography, videography, speech recording, and area scanning, ensuring our clients have the precise details needed for informed decision-making. Our dedicated field data collection teams are strategically located across Europe and North America, ready to take on new challenges.Project ObjectiveThe project aims to conduct a field survey across stations in Mexico City to enhance mapping services.ResponsibilitiesData collectors will be assigned specific stations daily to visit. The operator will utilize a work device to scan key attributes at the station. We are looking for an energetic individual who enjoys exploring new locations.Project DurationThe project is anticipated to last a minimum of 3 months.Work ScheduleWork will be conducted Monday through Friday, comprising 8 hours per day, totaling 40 hours per week.

Forward Deployed Data ScientistAbout Arkham TechnologiesArkham Technologies is at the forefront of the Data & AI revolution, offering an innovative suite of tools that empower organizations to integrate their data and leverage advanced Machine Learning and Generative AI models. Our platform has become a trusted resource for industry leaders such as Circle K, Mexico Infrastructure Partners, and Televisa Editorial, who utilize our solutions to enhance data accessibility, automate intricate processes, and achieve operational excellence. With our comprehensive platform and dedicated implementation services, we enable our clients to save time, reduce costs, and establish a robust foundation for enduring Data and AI transformation.About the RoleAs a Forward Deployed Data Scientist, you will play a pivotal role in initiating our clients' journey towards AI transformation. Collaborating closely with our implementation teams, you will help clients navigate their first use case after their Data Platform is established in Arkham. This collaborative effort involves working alongside their BI, finance, or operations teams to thoroughly understand their objectives and guide them through the solution process. Typical use cases you might engage with include: Enhancing complex reporting or analysis tasks through prompt engineering Implementing anomaly detection or forecasting models to enhance operational efficiency Setting up our AI Agent functionalities to facilitate data exploration and SQL query generation for Data Engineers This initial phase of engagement usually spans 2-4 weeks, leading to the resolution of the client's primary pain points and resulting in an 'aha' moment that transforms them into advocates for our platform, significantly driving adoption and uncovering new use cases within their operations.Your position will act as a bridge between the deployment of Machine Learning models, the implementation of Generative AI applications, and the support of clients through Prompt Engineering. You will manage approximately 3-4 customer implementations concurrently, becoming a strong advocate for our Data & AI Platform.Core Responsibilities: Client-Centered Solution Design: Work collaboratively with clients to identify their critical challenges and devise solution strategies leveraging our platform. Implement the Client’s First Use Case: Lead the deployment of Arkham's tools to tackle clients' initial use cases. This encompasses creating data pipelines, executing advanced analytics, deploying our ML models, and configuring AI Agents. Establish Iterative Feedback Loops: Engage in continuous feedback with clients to refine and enhance their solutions.