629 Ofertas de Data Analytics en Argentina

Azistia busca DATA ANALYTICS !

Puesto: Remoto con presencialidad eventual (1 o 2 veces al mes) en Nuñez, CABA, Buenos Aires, Argentina

1. Gestión de la Base de Datos
2. Generación de reportes y de insights para el negocio
3. Gestión de las herramientas de visualización y mejora continua
4. Capacitación de equipos en uso correcto del CRM
5. Reuniones de alineación con equipos y clientes
6. Presentación de informes y análisis de reportes ante equipos y clientes
7. Procesos de desarrollo de CRM o customización específica de nuevas funcionalidades de la herramienta
8. Soporte a la implementación de herramientas omnicanales de contacto con pacientes/clientes
9. Análisis de productividad y ocupación de los equipos

1. Formación en Data Analytics, Analista en Sistemas o similar
2. Jornada completa de lunes a viernes de 9 a 18 hs
3. Nivel Medio de Excel
4. Nivel Medio de Power BI
5. Nivel Medio de Inglés

1. Flexibilidad y Adaptabilidad
2. Buena comunicación oral y escrita
3. Orientación al Negocio y a Resultados
4. Capacidad Analítica y Resolución de Problemas

1. Sueldo acorde al puesto con incremento trimestral
2. Prepaga de primer nivel (titular y grupo familiar directo)
3. Vale de almuerzo
4. Vale de conectividad
5. Kit home office completo (laptop, mouse, auriculares, celular, silla ergonómica, mochila, útiles, etc.)
6. Día libre de cumpleaños
7. Semana adicional de vacaciones
8. Plataforma virtual con descuentos en gastronomía, ropa, gym, universidades, viajes, etc.
9. Clases on-line de yoga, meditación, etc.
10. Cursos y talleres on-line de formación profesional e intereses varios
11. Frutas, infusiones, galletitas y snacks saludables en las oficinas
12. Regalos en fechas especiales y otros beneficios
13. Excelente clima laboral, capacitación y desarrollo
14. Oficinas modernas con vista al Río de la Plata

Si te interesa este desafío y cumplís con los requisitos, favor de aplicar!

About Trafilea

Trafilea is a dynamic and innovative Tech E-commerce Group that operates multiple direct-to-consumer brands in the intimate apparel and beauty sectors, with a focus on using data-driven strategies to scale their businesses. In addition to our products, we have our own online community dedicated to promoting body positivity. As a rapidly growing global player, Trafilea is committed to creating high-quality products and services that enhance the customer experience and drive long-term growth.

Business

At Trafilea, we foster a culture of collaboration, innovation, and continuous learning. We believe in investing in our people, and providing them with the support and development opportunities they need to grow both personally and professionally. With our remote-first approach, you'll have the freedom to work from anywhere in the world, surrounded by a diverse and talented team that spans the globe.

We are looking for a Data & Analytics Director who will lead the company’s data strategy, ensuring the effective collection, analysis, and use of data to drive informed business decisions. This role requires a visionary leader who can manage and develop a high-performing data team, align data initiatives with business objectives, and drive innovation through data-driven insights.

Expected Outcomes & Responsibilities

• Lead the development and implementation of Trafilea’s data strategy.

• Oversee the data science, data engineering, and business intelligence teams.

• Ensure data accuracy, availability, and accessibility across the organization.

• Drive the creation of data models, dashboards, and reports to support business needs.

• Collaborate with cross-functional teams to align data initiatives with business goals.

• Ensure compliance with data privacy and security regulations.

• Stay up-to-date with the latest trends and technologies in data science and analytics.

Minimum Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

• Extensive experience in data leadership roles, with a strong track record of building and managing data teams.

• Expertise in data science, data engineering, and business intelligence.

• Proficiency in SQL, Python, R, and data visualization tools such as Tableau or Power BI.

• Strong analytical skills with the ability to work with large and complex data sets.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Excellent leadership, communication, and project management skills.

What we offer :

• Collaborate with world-class talents in a data-driven, dynamic, energetic work environment.

• Opportunity to grow and develop both professionally and personally.

• Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion.

• Openness to new ideas and initiatives.

• Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy, and more!

We've been recognized by Forbes and FlexJobs as one of the Top 25 Companies for Remote Workers. Apply now!

Overview

About Dialpad Dialpad is the leading Ai-powered customer communications platform, transforming how businesses communicate with their customers. More than 50,000 companies around the globe — including Netflix, RE/MAX, Uber, Randstad, and Tractor Supply — rely on Dialpad to build stronger customer connections using real-time, Ai-driven insights. Visit dialpad.com to learn more. Being a Dialer At Dialpad, you’ll be part of a collaborative team working toward our shared mission of making our customers and their employees wildly successful. We believe that every conversation matters, and we're elevating each one with a platform that drives real-time insights and automation for our customers. We thrive on continuous evolution, where every employee leverages industry-leading Ai to constantly refine our platform and our own skills. We seek individuals who not only meet our high standards but go beyond them. Our ambition is significant, and achieving it requires a team that operates at the highest level. We look for individuals who are not just ambitious but who also possess the traits that are fundamental to our success: Scrappy, Curious, Optimistic, Persistent, and Empathetic .

As a Data Analyst, you will collaborate with business stakeholders across various departments to effectively leverage big data and provide accurate, actionable insights that address key business questions. This role is based in Argentina and reports to the Senior Director of Data Analytics in the US. The candidate must be available to work during US overlapping hours (12 NN to 8 PM ART) and be willing to travel occasionally.

• Collaborate with Growth and Marketing teams to analyze data from multiple sources, delivering clear data insights that enable informed, strategic decisions.
• Initially support the Growth and Marketing teams, with flexibility to assist other departments as needs arise.
• Promote self-serve analytics throughout the organization by developing a comprehensive suite of fully automated, accurate, and reliable dashboards.
• Develop detailed data model requirements and document business logic for the Data Engineering team to create curated datasets for report automation and analysis.
• Perform statistical analysis, hypothesis testing, and build predictive machine learning models to optimize costs, forecast business outcomes, enhance product experiences, and drive business growth.
• Collaborate with external teams to improve the quality and usability of our internal data.
• Proactively monitor business performance through automated dashboards and ad-hoc analysis, providing leadership with actionable insights.
• Collaborate with data analysts and engineers across the organization to improve best practices and enhance data utilization and processes.
• Identify opportunities for continuous process improvement and cost optimization.

• 5+ years of advanced data analytics experience using big data.
• Experience working directly with business stakeholders to define requirements, drive analytics, and deliver effective insights.
• Experience collaborating with Data Engineers, Business Analysts, and Team Leads, with a demonstrated track record of successfully working with offshore teams and delivering complex projects on time.
• Advanced SQL development skills for data exploration and analysis.
• Strong analytical and problem-solving skills.
• Experience building effective visualizations and dashboard automations in an advanced BI tool like Tableau (preferred), PowerBI, DOMO, or Looker.
• Bachelor’s degree in a technical or business field.
• Expertise in product and financial data analysis.
• Experience working in a SaaS-based technology company.
• Experience in building and training machine learning models for business analysis use cases.
• Proficiency in Python for data exploration and analysis.
• Hands-on experience with Agile Software Development methodologies and tools like Jira.
• Working experience in cloud-based data platforms like GCP, AWS, or Azure.

We believe in investing in our people. Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, recognized repeatedly as a certified Great Place to Work , ensures every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and you possess the fundamental traits, the drive, and strong ambition we seek, but your experience doesn’t satisfy every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

Alumus, Family of Companies is seeking a highly motivated
Data Analytics Engineer
to join our team through our employment partner Deel. Alumus is a growing healthcare company in the United States. Our purpose is to improve peoples' lives.

About Us:

Alumus is a growing healthcare company in the United States with a clear purpose: to improve people's lives. We work with multiple electronic medical record (EMR) systems and are building a strong data foundation to power advanced analytics, automation, and AI-driven healthcare solutions.

We are seeking a highly motivated Data Analytics Engineer to join our AI and Analytics team. This role is critical to ensuring data quality, scalability, and accessibility across the organization.

Key Responsibilities

• Build and manage ETL/ELT pipelines to ingest data from EMRs, billing systems, and third-party sources.
• Ensure pipelines are reliable, automated, and well-documented.
• Design scalable and efficient data models to support analytics and BI.
• Optimize relational databases and queries for performance.
• Standardize, validate, and preprocess raw data into clean, analytics-ready tables.
• Work closely with data analysts, data scientists, and business leaders to translate business requirements into technical solutions.
• Enable cross-system integrations across healthcare EHRs, billing, and operational systems.
• Implement and maintain best practices in data security, compliance, and governance.

Core technical skills (Required):

• Relational database design & management (SQL Server, PostgreSQL).
• Advanced SQL & Python (queries, stored procedures, optimization).
• ETL development & automation (Python, Power Automate, or similar).
• Cloud platforms: Azure (preferred), AWS, or GCP.
• Version control (Git/GitHub or similar).

Preferred / Nice-to-Have:

• Backend development (APIs, connectors, middleware).
• AI/ML readiness (experience or interest in analytics/automation/ML).
• Orchestration frameworks (dbt, Airflow, or similar).

Qualifications
:

Bachelor's degree in Computer Science, Information Technology, Data Science, or related field (or equivalent experience).

3+ years in data engineering, analytics engineering, or a related role.

Buscamos un/a Líder de Data Analytics para impulsar la estrategia de datos

¿Te apasiona transformar datos en información valiosa y liderar equipos de alto impacto?

Si sos una persona estratégica, con fuerte capacidad analítica y un enfoque en la excelencia, esta es tu oportunidad. Buscamos un/a
Líder de Data Analytics
que no solo domine las herramientas y técnicas de análisis de datos, sino que también tenga la capacidad de inspirar y guiar a su equipo hacia el éxito.

¿Qué implica este rol?

El
Líder de Data Analytics
será responsable de definir y ejecutar la estrategia de analítica de datos, asegurando que la información generada impulse la toma de decisiones estratégicas en la organización. Liderará un equipo de analistas, promoviendo una cultura de excelencia, innovación y colaboración.

Responsabilidades principales:

Definir la estrategia de Data Analytics
, alineándola con los objetivos de la empresa.

Liderar y desarrollar al equipo de analistas de datos
, fomentando su crecimiento profesional y maximizando su impacto.

Asegurar la calidad y coherencia de los datos
, estableciendo prácticas de gobierno de datos.

Supervisar el desarrollo y la optimización de reportes en Power BI
, garantizando información clara y accionable.

Colaborar con diferentes áreas del negocio
, identificando oportunidades para mejorar la toma de decisiones basada en datos.

Impulsar la innovación en analítica de datos
, evaluando nuevas herramientas y metodologías para mejorar los procesos.

¿Qué buscamos en vos?

Requisitos técnicos esenciales:

Más de
5 años de experiencia en Data Analytics
, con un enfoque en liderazgo y estrategia.

Experiencia sólida (+3 años) en soluciones de BI en plataformas Microsoft.

Dominio avanzado en
Power BI
y en desarrollo de reportes de alto impacto.

Experiencia en
T-SQL, modelado de datos y gobierno de datos
.

Conocimiento en
SQL Server Analysis Services (multidimensional y tabulares), Azure SQL y Azure Analysis Services
.

Nivel de
inglés avanzado
, con capacidad de comunicación efectiva en entornos globales.

Formación en
Sistemas, Ingeniería, Matemáticas, Estadística o carreras afines
.

Habilidades blandas y valores culturales

• Liderazgo basado en acción:
  No liderás desde una torre de marfil, sino desde el terreno, involucrándote activamente en los desafíos del equipo.
• Pensamiento estratégico y ejecución efectiva:
  Balanceás la toma de decisiones inteligentes con la agilidad y velocidad necesarias para impactar el negocio.
• Capacidad analítica superior:
  No solo interpretás datos, sino que los convertís en estrategias accionables.
• Gestión en entornos de incertidumbre:
  Sabés navegar la ambigüedad y tomar decisiones basadas en datos, incluso con información limitada.
• Cultura de excelencia:
  Buscamos a alguien que no se conforme con el estándar, sino que eleve el nivel del equipo y de la organización.
• Transparencia y comunicación efectiva:
  Priorizamos la honestidad, la claridad y el trabajo en equipo para lograr los mejores resultados.

¿Qué te ofrecemos?

Un rol estratégico y de alto impacto
, donde podrás definir y liderar la transformación de datos en decisiones.

Un equipo de profesionales altamente capacitados
, con quienes compartir, aprender y crecer.

La oportunidad de trabajar con tecnología de vanguardia en analítica de datos.

Apoyo en tu desarrollo profesional
, con acceso a certificaciones y formación continua.

¿Querés ser parte de este desafío?

Postulate y sumate a un equipo donde los datos no son solo números, sino la clave para la toma de decisiones estratégicas.

Si esta oportunidad te resonó, compartila con alguien a quien pueda interesarle

Descripción de la empresa

Pedidosya es parte de Delivery Hero, compañía líder mundial en delivery que opera en más de 70 países en todo el mundo. PedidosYa es la compañía de tecnología líder en delivery y quick commerce de Latinoamérica. Es una plataforma simple, rápida y accesible que conecta a una red de millones de personas usuarias, comercios y personas repartidoras a una gran variedad de productos y servicios que ofrece la comunidad. La compañía, que opera en 15 países de Latinoamérica lanzó en 2020 PedidosYa Market, el primer mercado 100% digital que entrega alimentos y artículos para el hogar desde los 10 minutos tras haber realizado el pedido. Delivery Hero cotiza en la Bolsa de Frankfurt desde 2017 y forma parte del índice bursátil MDAX.

Descripción del empleo

Tenemos una oportunidad para vos, estamos buscando Data Manager para el equipo de Data. Trabajarás en el desarrollo de productos basados en datos, así como modelos de datos que permitan tener la información disponible para análisis, monitoreo y la toma de decisiones dentro de la Tribu de Payments & Fintech.

Desempeñarás un papel crucial para permitir que nuestros stakeholders alcancen los objetivos de negocio buscando apoyarse en los datos para tomar acciones considerando una visión de producto, tecnología y negocio. Será parte del rol construir y velar por la estrategia de datos, construirás relaciones sólidas con los distintos equipos para impulsar buenas prácticas analíticas. Tu liderazgo garantizará la calidad y precisión de los datos, promoviendo las buenas prácticas y principios de gobernanza de datos.

• Liderar un equipo de profesionales de Data, fomentando la colaboración, la mejora continua y el crecimiento, impulsando su evolución para que se vuelva estratégico y tenga impacto directo sobre nuestro negocio.
• Guiar al equipo para que sea owner del Analytics Lifecycle , desde la recopilación de los requisitos del negocio, la formulación de la preguntas,, la construcción de hipótesis, la ejecución del análisis, la presentación de los insights y la recomendación de acciones significativas a los stakeholders.
• Velar por las buenas prácticas de Data (fuentes de verdad, consumo eficiente, desarrollo de productos basados en datos , etc.)
• Gestionar la priorización y la asignación de proyectos para maximizar la entrega de valor.

Requisitos

• Licenciatura o Maestría en: Estadística, Matemáticas, Administración, Finanzas, Economía (o campo relacionado).
• 5+ años de experiencia en análisis de datos, con al menos 2+ años en posiciones de liderazgo gestionando equipos de datos.
• Excelentes habilidades de liderazgo, comunicación y capacidad para influir en los distintos equipos.
• Dominio completo del ciclo de análisis de datos, desde la definición del problema hasta la entrega de insights.
• Capacidad para comprender las necesidades del negocio, alinear los esfuerzos de ciencia de datos con los OKR de la empresa.

Información adicional

• Crear valor para un gran ecosistema de negocios, con foco en la persona usuaria, porque somos user centric.
• Jugar en equipo siempre.
• Moverte a la velocidad de tus ideas.
• Aprender, desarrollarte y reinventarte.
• Generar impacto positivo en las personas y el planeta.
• Trabajar en #ModoPeYa: nuestra manera de trabajar focalizada en la flexibilidad y orientada a lograr un buen balance dentro y fuera de la oficina.

La diversidad de talento potencia nuestra Cooltura y nuestra organización. Jugamos en equipo en todo lo que hacemos, y lo que más nos gusta de eso es que promovemos la creación de equipos diversos e inclusivos que puedan aportar diferentes perspectivas a PedidosYa. Nuestras oportunidades laborales están abiertas a todas las personas, independientemente de su identidad de género, orientación sexual, origen étnico, religión, edad, discapacidad y/o otras características individuales.

En caso de necesitar algún ajuste razonable o accesibilidad particular para tener la entrevista, por favor no dejes de aclararlo en tu postulación. Además, siéntete libre de indicarnos tus pronombres (él/ella/elle) desde el primer contacto.

En Puente nos encontramos en la búsqueda de un/a
Data Analytics SR
para formar parte de nuestro equipo.

Ubicación: Retiro, Buenos Aires

Principales responsabilidades:

• Implementar y mantener el marco de gobierno de datos.
• Definir políticas de data quality, data lineage, metadatos y seguridad.
• Desarrollar y Mantener pipelines usando Azure Data Factory, SQL y Phyton.
• Implementar DataOps: CI/CD de pipelines, testing, monitoreo y alertas.
• Gestionar requerimientos de datos mediante Azure DevOps.
• Capacitar al equipo en practicas de data managment y gobierno de datos.
• Implementar catalogo de datos y gobierno con MS Purview.
• Colaborar con equipos internos para asegurar datos confiables y trazables.
• Actuar como referente en la adopción de DAMA-DMBOK.

Requisitos:

• Graduados en
  Sistemas, Ingeniería, Ciencias de Datos o Afines.
• Certificación
  DAMA (CDMP)
  DataOps Foundation o afines (deseable).
• +5 años experiencia en
  Ingeniera, gestion y gobierno de datos.
• Conocimiento aplicadoen
  DAMA DM-BOK.
• Experiencia practica en
  DataOps
  y CI/CD.
• Programación en
  SQL avanzado y Phyton.
• Experiencia con herramientas del ecosistema
  Microsoft.
• Experiencia en Arquitectura Data Fabric (deseable).
• Conocimientos de
  normativas de compliance y seguridad de datos.

Si te interesa ser parte y cumplís con los requisitos, envia tu CV actualizado a

Asunto: CV Data Analytics SR

About Dialpad
Dialpad is the leading Ai-powered customer communications platform, transforming how businesses communicate with their customers. More than 50,000 companies around the globe — including Netflix, RE/MAX, Uber, Randstad, and Tractor Supply — rely on Dialpad to build stronger customer connections using real-time, Ai-driven insights. Visit to learn more.

Being a Dialer
At Dialpad, you'll be part of a collaborative team working toward our shared mission of making our customers and their employees wildly successful. We believe that every conversation matters, and we're elevating each one with a platform that drives real-time insights and automation for our customers.

We thrive on continuous evolution, where every employee leverages industry-leading Ai to constantly refine our platform and our own skills. We seek individuals who not only meet our high standards but go beyond them. Our ambition is significant, and achieving it requires a team that operates at the highest level. We look for individuals who are not just ambitious but who also possess the traits that are fundamental to our success:
Scrappy, Curious, Optimistic, Persistent,
and
Empathetic
.

Your role
As a Data Analyst, you will collaborate with business stakeholders across various departments to effectively leverage big data and provide accurate, actionable insights that address key business questions. This role is based in Argentina and reports to the Senior Director of Data Analytics in the US. The candidate must be available to work during US overlapping hours (12 NN to 8 PM ART) and be willing to travel occasionally.

Dialpad's data team acts as a centralized hub, supporting the analytics and business intelligence needs of all global departments such as Finance, Product, Engineering, Customer Support, Marketing, Legal, HR, and Sales. The team is responsible for data ingestion, ensuring data quality, managing data engineering, and delivering business analytics services, including report automation, as well as descriptive and predictive analytics. Dialpad's data team operates from five global hubs located in the US, Canada, Argentina, India, and the Philippines.

What You'll Do

• Collaborate with Growth and Marketing teams to analyze data from multiple sources, delivering clear data insights that enable informed, strategic decisions.
• Initially support the Growth and Marketing teams, with flexibility to assist other departments as needs arise.
• Promote self-serve analytics throughout the organization by developing a comprehensive suite of fully automated, accurate, and reliable dashboards.
• Develop detailed data model requirements and document business logic for the Data Engineering team to create curated datasets for report automation and analysis.
• Perform statistical analysis, hypothesis testing, and build predictive machine learning models to optimize costs, forecast business outcomes, enhance product experiences, and drive business growth.
• Collaborate with external teams to improve the quality and usability of our internal data.
• Proactively monitor business performance through automated dashboards and ad-hoc analysis, providing leadership with actionable insights.
• Collaborate with data analysts and engineers across the organization to improve best practices and enhance data utilization and processes.
• Identify opportunities for continuous process improvement and cost optimization.

Skills You'll Bring

• 5+ years of advanced data analytics experience using big data.
• Experience working directly with business stakeholders to define requirements, drive analytics, and deliver effective insights.
• Experience collaborating with Data Engineers, Business Analysts, and Team Leads, with a demonstrated track record of successfully working with offshore teams and delivering complex projects on time.
• Advanced SQL development skills for data exploration and analysis.
• Strong analytical and problem-solving skills.
• Experience building effective visualizations and dashboard automations in an advanced BI tool like Tableau (preferred), PowerBI, DOMO, or Looker.
• Bachelor's degree in a technical or business field.
• Expertise in product and financial data analysis.
• Experience working in a SaaS-based technology company.
• Experience in building and training machine learning models for business analysis use cases.
• Proficiency in Python for data exploration and analysis.
• Hands-on experience with Agile Software Development methodologies and tools like Jira.
• Working experience in cloud-based data platforms like GCP, AWS, or Azure.

We believe in investing in our people. Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success.

Don't meet every single requirement? If you're excited about this role and you possess the fundamental traits, the drive, and strong ambition we seek, but your experience doesn't satisfy every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role
Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories.

In this role, you will have the opportunity to work closely with our customers as part of a top-notch team. You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes. Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes.

Your role goes beyond traditional data analysis. You will be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions. Your proficiency in cutting-edge software tools and technologies will empower you to gather, explore, and prepare data – ensuring it is primed for analysis, business intelligence, and insightful visualizations.

Collaboration will be at the heart of your work. As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data. Together, we will ensure the data is in its finest form, ready to deliver actionable insights.

Your unique ability to communicate and empathize with stakeholders will be invaluable. By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals. With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact.

At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential. You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation. By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference.

If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl. Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities.

Your Future at Kyndryl

Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you're open and borderless – naturally inclusive in how you work with others.

Required Skills And Experience

• Over 5 years of experience in a similar role.
• Strong problem-solving, analytical, and critical-thinking abilities.
• Hands-on experience with Looker (both foundational and project-level usage).
• Proficiency in data analysis tools and programming languages such as Power BI, Tableau, QuickSight, BigQuery, Azure Synapse, Python, R, and SQL.
• Experience in client-facing roles, including presenting and defending proposals at the executive level.
• Excellent communication and presentation skills, with the ability to translate complex data insights for both technical and non-technical audiences.
• Ability to create pre-built assets for data models.
• Strong business acumen and storytelling capabilities using data.
• Proven ability to manage multiple projects simultaneously while maintaining attention to detail.

Preferred Skills And Experience
Bachelor's degree in quantitative fields such as Industrial Engineering, Finance, or Economics.

Advanced English proficiency.

Cloud platform certifications such as:

• AWS Certified Data Analytics – Specialty
• Google Cloud Looker Business Analyst
• Microsoft Certified: Power BI Data Analyst Associate

Professional certifications (e.g.,
ASQ Six Sigma
).

Being You
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.

What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.