MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
We are looking for a passionate Senior Analytics Engineer to join the GTM Operations team and play a pivotal role in evolving how MongoDB’s GTM organization leverages data. This is a unique opportunity to own and execute an ambitious Analytics Engineering roadmap, mentor analysts, and build scalable analytics workflows that drive data-informed decision-making in a world-class GTM organization.
In this role, you will be deeply embedded in the business, partnering closely with stakeholders and shaping how data is structured, transformed, and surfaced to answer key business questions. You will own the end-to-end data pipeline, ensuring scalable, self-serve analytics solutions that empower teams with reliable insights. You’ll also have the opportunity to enhance the analytics journey by developing GenAI solutions such as Conversational Analytics, enabling dynamic and context-aware interactions with data!
We are looking to speak to candidates who are based in Barcelona, Amsterdam, London or Dublin for our hybrid working model.
- Define and execute the Analytics Engineering strategy and roadmap, modernizing data models into a modular, scalable, and efficient framework that enhances analytical capabilities
- Design, build, and maintain robust data transformation pipelines, owning the source, business, and reporting layers, leveraging dbt for transformation and Apache Airflow for orchestration
- Implement and optimize CI/CD workflows using GitHub, improving analytics developer productivity, deployment automation, and data integrity through rigorous testing and version control.
- Develop and maintain Core Data Models in Tableau, ensuring well-structured, high-quality datasets that empower self-serve analytics across GTM teams
- Coach and upskill team members on analytics engineering best practices while enabling business analysts with well-structured data models and intuitive tools for self-serve analytics
- Lead the implementation of AI solutions to enhance the analytics journey. An example is Conversational Analytics initiative to provide stakeholders with an omnichannel analytics experience, enabling insights through SQL, no-code interfaces, and conversational interactions
- 5+ years of experience in a relevant data/analytics engineering role within dynamic, outcome-driven organizations
- Hands-on experience with cloud data platforms such as Snowflake, BigQuery, or Redshift
- Advanced skills in SQL and Python, with extensive experience in data transformations, data modeling, and analytics engineering best practices
- Experience with orchestration tools like Apache Airflow, Prefect, or Dagster
- Strong understanding of DataOps principles, including data observability, automated testing, and performance monitoring
- Ability to create analytics workflows using GitHub and CI/CD, increasing developer productivity and data pipeline efficiency
- Experienced in using business intelligence tools such as Tableau or Looker to communicate insights and enable self-serve analytics
- Proven ability to translate complex business concepts and metrics into elegant and easy-to-use data models
- Demonstrated ability to build effective partnerships across diverse teams and influence decision-making with data
- Strong communication and stakeholder management skills that foster trust in data
- Comfortable with ambiguity. Able to work independently and take full ownership of projects with minimal guidance
- Driven by curiosity and creativity to overcome challenges
- Best-in-class attention to detail and an unwavering commitment to accuracy
- Familiarity with AI-based initiatives is a plus
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID - 1263118440
