Job description
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 seeking a Senior Data Analyst to drive experimentation and insights across our marketing and growth email programs. This role will own the design and measurement of A/B experiments and automation initiatives, ensuring statistical rigor and actionable outcomes that optimize the user journey. You will partner closely with the Growth Marketing and Product teams to enable data-driven decision-making at scale, uncover key opportunities, and provide recommendations that improve acquisition, engagement, and retention.
The ideal candidate brings deep expertise in experimental design and statistical analysis, advanced SQL skills, and working knowledge of Python for data transformation and modeling. You will thrive in translating complex data into clear insights, building scalable analytical frameworks, and influencing cross-functional teams with evidence-based recommendations. Your ideal mix of curiosity, technical expertise, and collaborative spirit will allow you to become a trusted partner and the go-to expert for interpreting complex experiments, identifying key drivers of growth, and championing best practices in data analytics.
We are looking to speak to candidates who are based in Dublin for our hybrid working model.
Responsibilities
- Surface insights to drive executive decision making across the business
- Work with Marketing and Sales teams to enable and analyze data-driven customer outreach campaigns
- Design and analyze experiments to measure incremental impact of various initiatives, leveraging methodologies that improve accuracy and scalability
- Automate analytical pipelines, develop reporting tools, and maintain certified data codebases to ensure reproducibility, scalability, and efficiency of insights delivery
- Continuously learn about the product, the user ecosystem, and industry best practices to drive innovation and high-quality analysis
- Write and maintain complex queries to conduct deep-dive analyses on the impact Marketing initiatives have on acquisition, product activation and user retention
- Work closely with Data Architecture and Data Engineering teams to help create and optimize custom views and tables to enable reporting for marketing and growth teams
- Make the team more efficient: Research and implement new tooling/processes; seek out and automate existing costly manual processes
Skills & Attributes
- 5+ years of experience in Analytics roles, with at least 2 years working closely with Marketing or Product teams
- Advanced skills in SQL, with a proven ability to automate workflows and build scalable solutions, Python or R capability is a plus
- Domain knowledge in growth marketing and/or email marketing, with the ability to translate analytical findings into strategies that directly improve user journeys and campaign effectiveness
- Experience converting analytical workflows and methodologies into reusable tools or packages to increase team adoption and efficiency
- Strong working knowledge of statistics and experimental design, with hands-on experience running and interpreting A/B tests, incrementality testing, and other causal inference methods
- Proficiency in automation through dashboards, scripting, or lightweight pipelines to scale insights and streamline recurring analyses
- Excellent communication skills, capable of explaining complex quantitative concepts to diverse audiences, including non-technical stakeholders
- Demonstrated ability to effectively communicate and set priorities with a variety of key stakeholders at all levels of the organization
- Self-motivated, curious, and collaborative, with a commitment to fostering a positive work environment and contributing to the team’s success
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: 3263247299
