WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for an Analytics manager who will:

• Develop and execute the analytics strategy aligned with overall business goals, identifying high-impact analytical opportunities. 

• Lead, mentor, and manage a team of analytics professionals (Associates and Senior Associates). 

• Oversee multiple concurrent analytical projects, ensuring timely delivery, quality, and alignment with business objectives and resource allocation. 

• Act as a primary point of contact for senior business stakeholders, understanding their challenges, translating them into analytical problems and presenting solutions. 

• Drive the adoption of advanced analytical techniques and cutting-edge tools to enhance team capabilities and efficiency. 

• Establish and monitor key metrics for team productivity and project success. 

Skills and Experience

If this opportunity looks right for you, we are looking for candidates who have:

• Experience: 3+ years of experience in analytics 

  Technical Skills: 

  • Expert in leading BI platforms (e.g., Tableau, Power BI, Looker) for client reporting. 
  • Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lakes and Alteryx or data transformation/processing in the cloud (e.g., Azure, GCP, Power Apps, Power Automate).
  • Soft Skills: Exceptional leadership, strategic thinking, problem-solving, and cross-functional collaboration abilities. Proven ability to influence and drive change through data. 
  • Reporting Structure: Reports to a Director or Senior Director of Analytics 

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day, and more. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

 
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

This position is in a Remote or Hybrid Work Modality and must be performed within Colombian territory. Only candidates residing in Colombia with a valid work permit may apply. Remote work contracts do not allow employment or relocation abroad.

 Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy ) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Data Engineer Manager who will:

• Collaborate closely with a team of data engineers, developers, and UX designers to create and optimize data pipelines and workflows supporting media performance reporting.
• Manage the design, build, and maintenance phases of client reporting projects.
• Work with Business Intelligence/Data Operations to define and document comprehensive reporting and visualization requirements.
• Ensure high data quality and provide ongoing support and maintenance for existing data workspaces.
• Deploy new client teams to cloud data solutions, offering guidance and support throughout the onboarding process.
• Define clear QA guidelines and automate current QA processes to enhance efficiency.
• With the support of the Associate Director, develop innovative tools, processes, and best practices to achieve workflow efficiencies and drive value for both client teams and clients.
• Act as the subject matter expert for all questions and projects related to data quality, BI tools, and business rules, ensuring that best practices are consistently followed across all initiatives.
• Facilitate effective communication and ensure task progression through regular status meetings and working sessions; proactively identify and resolve project roadblocks and issues.
• Efficiently track and manage a high volume of tasks across multiple stakeholders and projects.
• Build positive and collaborative relationships with internal teams, effectively communicating roles, responsibilities, and expectations.

Skills and Experience

If this opportunity looks right for you, we are looking for candidates who have:

Education & Experience:

• Bachelor's or advanced degree in Statistics, Economics, Business, Mathematics, Computer Science, or a related scientific field is preferred.
• Minimum of 4-6 years of experience in data governance processes within a data warehousing, ETL, and business intelligence environment.
• Experience with the full development life cycle of an application or reporting solution – from design through testing and deployment.
• Experience in a media environment (digital investment, analytics, or ad operations) is preferred; an understanding of the media landscape is beneficial.
• Experience and understanding of processes across multiple media channels (digital, search, social, offline, etc.) and handling diverse datasets (paid media, owned, etc.).

Technical Skills:

• Advanced knowledge of databases and data warehouses is crucial, including SQL (most important), MySQL, PostgreSQL, Redshift, Snowflake, etc.
• Advanced knowledge of one or more programming languages is essential, with Python being highly valued.
• Strong knowledge of cloud platforms such as Microsoft Azure, GCP, or AWS (familiarity with any major cloud provider is key).
• Knowledge of data engineering platforms such as Databricks.
• Familiarity with project/product management tools like Jira, Confluence, Smartsheets, Azure DevOps/VSTS.
• Familiarity with business intelligence tools such as Tableau, PowerBI, etc.
• Experience with advertising campaign management/buying platforms (e.g., Sizmek, GCM, Flashtalking, Moat, DV, IAS, Mediaocean, Media Tools, Nielsen, ComScore, Facebook, Twitter, Pinterest, Snapchat, 4C, Brand Networks, YouTube, Google Ads, Bing, Kenshoo, SA360, DV360, Google Analytics, Adobe Analytics) is highly beneficial.

Soft Skills:

• Demonstrates strong attention to detail.
• Excellent verbal and written communication skills.
• Exceptional organizational skills, multi-tasking capabilities, and detail-oriented approach.
• Ability to foster collaborative relationships with other cross-functional teams.
• Ability to manage and prioritize competing projects and deliverables effectively.
• Proactive in elevating and resolving project roadblocks and issues.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day, and more. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

This position is available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy ) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech.  Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

The Role

We're looking for a Senior Data Engineer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product

Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights—from no-show trends to client engagement—you’ll give practitioners the tools to make smarter, faster decisions about how they manage care.

Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice.

Responsibilities

• Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
• Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons 
• Work with analytics to create company wide alignment through standardized metrics across the company
• Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
• Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product 
• Manage the complete data stack from ingestion through data consumption
• Build tools to increase transparency in reporting company wide business outcomes
• Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
• Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice

Desired Skills & Experience

• Education & Experience
  • BS/MS in Engineering, Computer Science, Mathematics, or related field
  • 7+ years in Data or Analytics Engineering
  • Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
• Data Engineering & Pipelines
  • Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
  • Expert in SQL and data modeling (relational, dimensional, semantic)
  • Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
  • Hands-on with DBT for modular, testable transformations
  • Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
  • Familiar with ELT, schema-on-read, DAGs, and performance optimization
• Cloud & Infrastructure
  • Experience with AWS (S3, RDS, Redshift, etc.)
  • Familiar with Terraform, Docker, and containerized workflows (bonus)
  • Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
• Analytics & Enablement
  • Experience building and supporting semantic layers for self-serve analytics
  • Proficient with BI tools like Looker, Tableau, or Sisense
  • Comfortable standardizing metrics and enabling trusted, consistent access to data
• Programming & Scripting
  • Proficient in Python and Unix/Linux scripting
  • Comfortable working with APIs (e.g., using curl)

Bonus Points

• AWS DevOps - Terraform, Kubernetes, Docker
• Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries
• Real-time ETL - Kafka streaming, AWS Kinesis

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Sobre Nosotros

SimplePractice tiene su sede en Los Ángeles, California, pero contamos con miembros del equipo que viven y trabajan en Estados Unidos, República Dominicana, Ciudad de México y Ucrania.

En SimplePractice, trabajamos para mejorar el acceso a una atención de calidad, brindando  a los profesionales de la salud y el bienestar todas las herramientas que necesitan para prosperar en la práctica privada.

Más de 250,000 proveedores confían en SimplePractice para desarrollar su negocio con nuestro software líder en la industria, que ofrece potentes herramientas que simplifican cada aspecto de la gestión de la práctica. Desde las tareas administrativas hasta la atención clínica, nuestro conjunto de soluciones innovadoras trabaja de manera integrada para reducir la carga administrativa, permitiendo a los profesionales, tanto individuales como en pequeños grupos, prosperar junto con sus clientes.

Ganador de premios y centrado en las personas, SimplePractice está dando forma al futuro de la tecnología de la salud. Reconocido por MedTech Breakthrough y los Premios de Salud Digital, y como uno de los Mejores Lugares para Programar en México y uno de los Mejores Lugares para Trabajar según BuiltIn.

Nuestra Cultura

En SimplePractice, la cultura es nuestra base. Influye en la manera en que trabajamos, cómo servimos a nuestros clientes y cómo abordamos el cumplimiento de nuestra misión. Contamos con cinco valores fundamentales que buscamos encarnar cada día:

• Pensamos en grande

• Tomamos la simplicidad en serio

• Venimos tal como somos

• Actuamos con humildad

• Estamos construidos sobre la confianza

La cultura es responsabilidad de todos en SimplePractice. Es lo que nos impulsa a hacerlo mejor para nuestros compañeros y clientes.

La conexión y la colaboración también son clave para nuestro éxito. Trabajarás con equipos multinacionales talentosos y tendrás oportunidades de participar en encuentros presenciales tanto en EE. UU. como en México.

🚀 ¡Encuéntranos en la Ciudad de México!

¿Quieres conocer al equipo antes de postularte? Acompáñanos el 28 de mayo en nuestro encuentro "Más allá de la app: Construyendo el futuro de la tecnología con IA y datos", en colaboración con RubyCDMX.

¡Habla de IA, datos e ingeniería con nuestros líderes mientras disfrutas de una bebida! 🍺 👉 Confirma tu asistencia aquí: https://luma.com/32jeyopv

El Rol

Estamos buscando un Senior Data Engineer para ayudar a liderar la evolución de nuestro stack de datos, desde los pipelines hasta la plataforma. En este rol, construirás la infraestructura que impulsa todo, desde inteligencia de producto hasta reportes financieros y analítica self-serve dentro del producto.

Nuestros clientes son profesionales clínicos en prácticas privadas pequeñas y medianas, y los datos que estructures les ayudarán directamente a operar negocios más eficientes y efectivos. Al habilitar insights accesibles, como tendencias de inasistencias o niveles de interacción de pacientes, brindarás a los profesionales herramientas para tomar decisiones más inteligentes y rápidas sobre la gestión de la atención.

Internamente, tu trabajo impulsará desde reportes ejecutivos y proyecciones de ingresos hasta analítica de producto y ciclos de evaluación de modelos de IA. Colaborarás con equipos de Data Analytics, Machine Learning, Producto e Ingeniería para construir sistemas escalables y confiables que conviertan los datos en un producto de primera clase dentro de SimplePractice.

Responsabilidades

• Colaborar con Producto, Analytics e Ingeniería para construir sistemas escalables que desbloqueen el valor de los datos provenientes de múltiples fuentes como bases de datos backend, flujos de eventos y plataformas de marketing.
• Liderar la visión técnica y la arquitectura con una perspectiva integral tanto a corto como a largo plazo.
• Trabajar con el equipo de Analytics para crear alineación a nivel compañía mediante métricas estandarizadas.
• Apoyar casos de uso internos como reportes financieros, analítica de producto y métricas operativas.
• Habilitar casos de uso externos como dashboards para clientes, analítica self-serve y recomendaciones dentro del producto.
• Gestionar el stack completo de datos desde la ingestión hasta el consumo.
• Construir herramientas que aumenten la transparencia en el reporte de resultados de negocio.
• Colaborar con DevOps para desplegar y mantener soluciones de datos en la nube, preferentemente en AWS.
• Definir marcos de calidad y seguridad de datos para medir y monitorear la calidad en toda la organización, promoviendo mejores prácticas de ingeniería de datos.

Habilidades y Experiencia Deseadas

Educación y Experiencia

• Licenciatura o Maestría en Ingeniería, Ciencias de la Computación, Matemáticas o campo relacionado.
• Más de 7 años en Data Engineering o Analytics Engineering.
• Fuertes habilidades de resolución de problemas y comunicación; cómodo trabajando en entornos dinámicos y multifuncionales.

Ingeniería de Datos y Pipelines

• Experiencia en arquitectura empresarial y modelado dimensional.
• Experto en SQL y modelado de datos (relacional, dimensional, semántico).
• Experiencia comprobada en diseño, implementación y mantenimiento de data warehouses (Snowflake).
• Experiencia práctica con DBT para transformaciones modulares y testeables.
• Experiencia con herramientas de orquestación e ingestión: Airflow, Prefect, Airbyte, Fivetran, Kafka.
• Familiaridad con ELT, schema-on-read, DAGs y optimización de rendimiento.

Nube e Infraestructura

• Experiencia con AWS (S3, RDS, Redshift, etc.).
• Familiaridad con Terraform, Docker y flujos de trabajo contenerizados (deseable).
• Manejo de datos estructurados, semi-estructurados (JSON) y formatos columnares (Parquet, ORC).

Analítica y Habilitación

• Experiencia construyendo y soportando capas semánticas para analítica self-serve.
• Dominio de herramientas BI como Looker, Tableau o Sisense.
• Experiencia estandarizando métricas y habilitando acceso confiable y consistente a los datos.

Programación y Scripting

• Dominio de Python y scripting en Unix/Linux.
• Experiencia trabajando con APIs (por ejemplo, usando curl).

Puntos Extra

• AWS DevOps (Terraform, Kubernetes, Docker).
• Experiencia en gestión de proyectos y cambio, especialmente en entornos ágiles (SCRUM, Kanban).
• Experiencia en ETL en tiempo real (Kafka streaming, AWS Kinesis).

Beneficios

Ofrecemos un programa competitivo de beneficios que incluye:

• Seguro médico, dental y de visión privado
• Apoyo para trabajo desde casa
• Tiempo libre flexible (FTO), días de bienestar, días festivos pagados y Summer Fridays
• Reembolso mensual de alimentos
• Bono navideño y 15 días de aguinaldo
• Esquema híbrido de trabajo y comidas patrocinadas
• Bono de reubicación para candidatos que se muden desde otra ciudad
• Grupos de Recursos para Empleados (ERGs)

Data Analyst Std

Responsabilidades

·        Recopilar, organizar, analizar y difundir cantidades significativas de información con atención al detalle para garantizar la calidad e integridad de los datos.

·        Desarrollar, automatizar, verificar y monitorear proyectos para los análisis orientados a las necesidades de negocio.

·        Mejora continua del proceso de análisis de datos e infraestructura.

·        Generar insights identificando e interpretando tendencias o patrones en conjuntos de datos con la finalidad de apoyar a negocio con la toma de decisiones basadas en datos.

·        Diseñar sistemas de reporting para la visualización de informes periódicos que resuman el análisis de los datos.

·        Elaborar vistas y dashboards para proporcionar información útil a negocio.

Skill

·        AWS Redshift

·        Jira

·        Paquetería de Microsoft Office

·        Tableau/Power BI

Lenguajes de programación

·        SQL

·        Python (Pandas, Spark)

Manejo de metodología/filosofía Ágil deseable     

·        Scrum  

·        Kanban

Idiomas Nivel de inglés intermedio

Soft Skills

·        Comunicación efectiva con stakeholder clave y líderes de negocio.              

·        Capacidad analítica y organizacional superior.      

·        Enfoque en resultados con alta capacidad de ejecución.  

·        Precición y atención al detalle.    

·        Adaptabilidad proactiva al campo y apertura a retroalimentación.

·        Capacidad de autoaprendizaje y mejora continua

·        Gestión de proyectos      

·        Trabajo en equipo con enfoque en sinergia organizacional 

Requisitos:

·        Escolaridad         

·        Ing. Sistemas Computacionales  Economía

·        Matemáticas      Actuaría

·        Estadística      

Asignación hibrida, hay que acudir a sitio 3 veces por semana (Reforma, CDMX)

About Incode

Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast.

The Impact You’ll Make

As a Data Analyst supporting Data Labeling and Human-in-the-Loop (HITL) operations, you will play a critical role in how we understand, measure, and improve labeling performance at scale. You will partner closely with Operations, ML, and Enablement to translate complex workflows into clear metrics, insights, and decision-support tools.

This role is ideal for an analyst who enjoys working close to real operations, is comfortable with ambiguity, and wants to move beyond reporting into shaping how teams reason about quality, efficiency, and effort.

What You’ll Own & Drive

• Operational visibility: Build and maintain dashboards that track labeling throughput, SLA adherence, backlog health, reviewer performance, and QA outcomes.
• Metric definition and refinement: Help define, validate, and iterate on metrics that measure labeling quality, accuracy, efficiency, and cost, ensuring they reflect real operational behavior.
• Stakeholder partnership: Act as the analytics partner for Ops, ML, and Product, supporting questions related to model performance, labeling impact, and delivery commitments.
• Effort and complexity analysis: Analyze task complexity, labeling speed, and reviewer dynamics across workflows to inform planning and prioritization.
• Data foundations: Contribute to reliable data pipelines by integrating data from SQL sources (Redshift/Postgres), annotation tools, QA audits, and operational feedback.
• Decision support: Provide clear, actionable insights that help teams move from intuition to evidence-based decisions.

The Qualities That Set You Apart

• Strong analytical judgment: You know how to interpret metrics in context and recognize when numbers are misleading.
• Structured problem-solving: You can break down ambiguous problems and move from high-level signals to root causes.
• Builder mentality: You enjoy improving existing systems and helping formalize processes that were previously informal.
• Cross-functional communication: You can explain insights clearly to technical and non-technical partners.
• Ownership and reliability: You take responsibility for your work and follow through with rigor and transparency.

Your Background

• 5–7 years of experience as a data analyst, business analyst, or operations analyst, ideally in tech, fintech, or operations-heavy environments.
• Strong SQL skills (Redshift preferred), including joining large datasets and writing maintainable queries.
• Experience with BI tools such as Looker, Metabase, or Tableau.
• Working knowledge of Python.
• Exposure to operational metrics, QA processes, or labeling/annotation systems is a plus.
• Experience taking analytics work from question to insight to action.
• Comfortable working with incomplete data and evolving requirements.

Why Incode?

• Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically.
• Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years.
• Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
• Ownership & Autonomy – Operate like a founder with the resources of a unicorn.
• Global Impact – Every program you launch will reverberate across industries and continents.

Ready to ignite the future of trust?

Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.