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Analytics Engineer II, Marketing Technology - Remote

OneDigital

Trabajo remoto

Ubicación
Remote (United States)
Retribución
USD 95000-130000 per annual
Jornada
Full Time
Publicado
10 oct 2026

Confirma que la oferta sigue abierta y revisa sus condiciones en el sitio web de la empresa antes de solicitar el puesto.

Descripción del puesto

La interfaz está en español. Los títulos y las descripciones de las empresas se mantienen en el idioma original de publicación, que puede ser inglés.

Are you looking to accelerate your career without having to hide your authentic self - a place where you can be you? A career that’s making a bigger impact on the world? At OneDigital, we are on a mission to help people do their best work and live their best lives. From the services we offer to the way we show up for each other each day, we are fueling dreams, achieving big goals, and embracing each other’s truest selves. We understand that pursuing a new job is a big deal. Maybe you’re afraid you won’t fit in. Well, here’s the good news. For us, the days of “fit in to get in” are over and being different is not a barrier to getting ahead. Greatness comes in all shapes, sizes, colors, and experience levels. If you are looking for a people-first culture that is wired for growth, driven to serve, and totally committed to having your back, give us a shot. Your best life awaits. Must be eligible to work in the United States without the need for work visa or residency sponsorship. We kindly ask that external recruiters, agencies, and search firms do not contact our hiring managers or employees directly regarding open positions. All candidate submissions must go through our official application process and must be made aware to our internal Talent Acquisition team to verify candidate ownership. Unsolicited resumes or candidate profiles sent to OneDigital without a prior signed agreement will be considered the property of OneDigital. In such cases, OneDigital reserves the right to pursue and hire those candidates without any financial obligation to the agency or recruiter. Our Newest Opportunity: The Analytics Engineer II sits on the Marketing Technology team and develops, maintains, and improves the data solutions that support Marketing and growth reporting. The role combines data engineering, business intelligence, and analytics development to create trusted datasets, maintain reliable pipelines, and deliver operational reporting. Working closely with the Sr. Growth Analytics Manager, you will build a strong understanding of OneDigital's data ecosystem and help improve our data products over time. You will use AI-assisted tools to accelerate pipeline development, testing, and documentation, while retaining accountability for governance decisions, data quality judgment, and business context. Essential Duties and Responsibilities Data Engineering & Integration Develop, maintain, and optimize SQL transformations in Snowflake for Marketing and Sales reporting Build and support ETL/ELT pipelines and integrations across Salesforce, HubSpot, Microsoft Dynamics, Azure, and APIs Follow established CI/CD practices and execute test cases to validate changes before production Monitor scheduled jobs and troubleshoot production issues Data Quality, Governance & Security Monitor data quality, investigate discrepancies, and build automated validation and reconciliation processes Maintain documentation for datasets, data flows, lineage, and transformation logic Apply access controls and follow privacy and handling requirements (PII/PHI) in accordance with company policy, escalating gaps or exceptions to the Sr. Growth Analytics Manager Business Intelligence Development Build and maintain dashboards and reports in Domo and Power BI based on business requirements Develop reusable datasets and semantic models, including clean, structured datasets that support AI and predictive modeling Optimize dashboard performance and usability Analytics Partnership Partner with the Sr. Growth Analytics Manager to translate business requirements into technical solutions Treat recurring datasets and dashboards as products: gather feedback, prioritize enhancements, and document intended use Coordinate with cross-functional data owners when upstream changes could affect Marketing reporting Support ad hoc analytical requests Required Qualifications 2-4 years of experience in analytics engineering, business intelligence, or data engineering Strong SQL skills and experience with cloud data warehouses (Snowflake preferred) Experience building ETL/ELT processes Experience with Domo, Power BI, Tableau, or similar BI platforms Understanding of dimensional modeling and relational databases Experience with Git or version control Working understanding of data security and privacy best practices Strong written and verbal communication, including explaining findings to non-technical stakeholders Strong prioritization skills and the ability to manage multiple requests with minimal supervision Preferred Qualifications Marketing or sales analytics experience Salesforce, HubSpot, Microsoft Dynamics, and API integrations Azure Data Factory or Azure Blob Storage; Coalesce or similar tools CI/CD and automated testing for data pipelines Exposure to preparing datasets for ML/AI; familiarity with data governance frameworks Bachelor's degree in computer science, data science, information systems, or a related field (equivalent experience considered) Desired Characteristics Curious about how data supports business decisions, takes initiative, troubleshoots methodically, values documentation and responsible data handling, and is eager to grow technical, business, and AI/ML knowledge. The typical base pay range for this role nationwide is $95,000 to $130,000 per year. Your base pay is dependent upon your skills, education, qualifications, professional experience, and location. In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company’s performance. We also offer eligible employees health, wellbeing, retirement, and other financial benefits, paid time off, overtime pay for non-exempt employees, and robust learning and development programs. You will receive reimbursement of job-related expenses per the company policy and may receive employee perks and discounts. To learn more, visit: OneDigital is an equal opportunity employer. Not only as a matter of standard, but to honor and celebrate our differences. We believe that the power of ONE starts with you. We are committed to cultivating and preserving a culture that celebrates diversity, insists on equity and inclusion, and connects us. Ensuring our people feel seen, valued, respected, and supported is fundamental to our core values and business goals. OneDigital provides equal employment opportunities to all employees and applicants for employment regardless of their: veteran status, uniformed servicemember status, race, color, religion, sex, sexual orientation, gender identity, age (40 and over), pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, “protected characteristics”). A copy of the Federal EEO poster is linked here. Pursuant to local Fair Chance Ordinances, we will consider qualified applications with arrest or conviction records for employment. For applicable candidates, the following ordinances are linked here to inform you of your rights as an applicant: City and County of San Francisco City of Los Angeles County of Los Angeles Employment decisions shall comply with all other applicable federal, state and city/county laws prohibiting discrimination in employment. OneDigital complies with all criminal history inquiry [or ‘ban the box’] laws in California, Connecticut, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New Mexico, Oregon, Rhode Island, Vermont and Washington. In short, we believe in hiring the most qualified applicant for the position, regardless of background. This posting will remain live while OneDigital is actively accepting applications. Once candidates have been selected, the posting will be removed. OneDigital understands the immense responsibility and opportunities provided by Artificial Intelligence. We utilize advanced Artificial Intelligence [AI] technologies to enhance our recruitment process. This includes using AI to filter candidates based on their qualifications and to rediscover potential candidates from our existing applicant pool. Our AI systems help us efficiently identify the best fit for our open positions, ensuring a streamlined and effective hiring experience. However, AI does not replace the humans in our process. If you have concerns about our use of AI, you may opt out where laws allow. If you have questions about our hiring policies and practices, we would be happy to discuss upon receiving your application. We hope to welcome you to OneDigital and look forward to hearing from you. Thank you for your interest in joining the OneDigital team! Originally posted on Himalayas

Busca, compara y prepara tu candidatura

Empieza con un puesto o una competencia que quieras utilizar. Ajusta los filtros de ubicación y profesión y abre las ofertas para comparar sus responsabilidades. Si no encuentras resultados, prueba un término más corto o elimina un filtro cada vez.

Distingue los requisitos imprescindibles de las preferencias. Comprueba la jornada, la retribución y la ubicación cuando se indiquen. Un puesto remoto puede exigir residencia en un país, autorización para trabajar o coincidencia horaria. Confirma la oferta y las condiciones completas con la empresa.

Elige ejemplos reales de tu experiencia que respondan a los requisitos del puesto. Explica tu aportación y utiliza cifras solo cuando puedas justificarlas. Sigue las instrucciones de la empresa y revisa los datos de contacto, el contenido y el PDF antes de enviar la candidatura.

Antes de enviar tu candidatura

Preguntas sobre la búsqueda de empleo

¿Por qué algunas ofertas están en inglés?

Las empresas publican sus propios títulos y descripciones. Conservamos ese texto para no alterar requisitos o condiciones. La navegación y esta guía están en español. Si una búsqueda en español no encuentra ofertas, prueba también el título o la competencia en el idioma del anuncio, por ejemplo «software engineer».

¿Un puesto remoto permite trabajar desde cualquier país?

No necesariamente. La empresa puede limitar los países de residencia, exigir autorización para trabajar o fijar un horario. Comprueba estos puntos en la oferta original. Si no aparecen, consúltalos con la empresa antes de asumir que puedes trabajar desde tu ubicación.

¿Qué hago si no aparecen resultados?

Prueba un título más general o una sola competencia y elimina los filtros de uno en uno. Los nombres de los puestos varían entre empresas. Si una oferta concreta ha desaparecido, busca su referencia en la página de empleo de la empresa; ampliar los filtros no recupera una vacante cerrada.

¿La candidatura se envía desde ResumizeAI?

El botón de solicitud abre un destino externo. Sigue las instrucciones de la empresa o del proveedor de selección y confirma allí el envío. Preparar un currículum en ResumizeAI no equivale a presentar una candidatura. Si el enlace solo abre la web de la empresa, busca la vacante antes de continuar.

¿Cómo adapto el currículum y la carta de presentación?

Relaciona los requisitos con proyectos, tareas y resultados que puedas explicar. Destaca lo relevante sin inventar experiencia ni copiar competencias que no tienes. En la carta, explica tu interés y aporta un ejemplo concreto. Respeta el idioma y el formato pedidos y revisa ambos documentos antes de enviarlos.