Analytics Engineer - All Genders

Every product decision, experiment, customer insight and business metric depends on it. You are more than an Analytics Engineer. You are a builder who cares about getting the numbers right, and you love helping people make better decisions with them.

In this role, you’ll co-own a share of the analytics layer that powers decisions across Doodle. You’ll turn raw product data into trusted, scalable datasets for experimentation, reporting and product innovation.

If you get excited by clean models, well-defined metrics and data people actually trust, you’ll find a stimulating environment here.

We expect you to use AI coding tools to move faster on modelling, testing and documentation, and to help the rest of Doodle get more out of AI in their daily work with data.

About Doodle

• Turn Trusted Data into Better Decisions.
• Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaboration across teams and companies.
• We are building the future of scheduling and productivity, and trusted data has become one of our most valuable products.
• AI is at the heart of how we work.
• We deal with “Time” problems most companies never meet, and the product data that comes with them: time zones, calendars and schedules that keep changing.
• With millions of users, the data you model drives decisions you’ll see play out in real numbers.

Responsibilities

• Our transformations are built in dbt on top of Amazon Redshift, with Athena alongside it, and teams explore and report on data in Power BI, Hex and our own internal AI tools.
• You’ll work closely with Product, Engineering, Sales, Marketing, Finance and Leadership.
• Some days that means defining the metrics the whole company runs on.
• Other days it means helping a Growth Manager design an A/B test, or showing a team how to answer their own questions without waiting on anyone.
• You’ll Actually Do Model the Data: Design, build and maintain scalable analytics data models in dbt, following analytics engineering best practices.
• Build reliable transformations from raw product data to business-ready datasets, with testing, validation and documentation across the analytics layer.
• Define, document and maintain the trusted business metrics used across the company, and keep definitions aligned across teams.
• Evolve a scalable semantic layer that makes consistent reporting and self-service analytics possible.
• Partner with Product and Growth Managers on A/B tests, funnels, retention and customer insights, through high-quality event modelling and instrumentation.
• Give product launches and feature rollouts reliable measurement frameworks from day one.
• Build dashboards and reports in Power BI, Hex or our internal AI tools, and coach stakeholders so they can find their own answers.
• Build AI-enabled analytics workflows and help teams across Doodle adopt AI in how they work with data.
• What do you bring?

Requirements

• You’ll thrive here if you combine strong analytics engineering fundamentals with a product and business mindset, and you’re honest about your strengths, gaps and what you’re still learning.
• Strong, hands-on experience building analytics data models with dbt or a similar transformation framework, and a good grasp of dimensional modelling.
• Advanced SQL skills and experience working with large analytical datasets.
• Experience with cloud data warehouses such as Amazon Redshift.
• Experience building dashboards and self-service reports in Power BI or similar BI tools.
• Familiarity with experimentation frameworks and product analytics.
• Hands-on experience with Claude or similar AI assistants, including setting up MCPs and using AI coding tools.
• You’ve helped drive AI adoption in a team or organisation.
• You can explain technical concepts to technical and non-technical people alike, and turn data into recommendations that help stakeholders decide.
• You are based in, and have the right to work in, the country where this role is advertised.
• We cannot sponsor visas or support relocation at this time.
• Experience working in a modern B2B SaaS environment.
• Why Doodle?

Preferred

• Experience building semantic layers or self-service analytics platforms.
• Good Python skills for data processing and automation, for example with pandas.
• Familiarity with workflow orchestration tools such as Airflow, and experience with Athena.
• Experience with tools such as Google Analytics 4, GrowthBook (A/B testing) or Avo (tracking plan design and data governance).

Benefits

• Your models shape how the world meets.

Then help teams read the results and decide what to do next.

Modern Tooling

We give you the best AI and agentic tools, and we expect you to use them.

Culture of Trust

We value curiosity, autonomy, and a balance that respects your time as much as our users’.

Hiring

Journey Initial Application Review HR Interview Technical Interview (based on Home Assignment) Exec Interview Final Offer & Reference Check At Doodle, we’re committed to an environment of mutual trust and respect, where equal employment opportunities are available to all applicants and teammates without regard to age, race, ethnic origin, colour, disability, religion or belief, gender, gender identity or sexual orientation. Diversity and inclusion are of utmost importance to us. We’re committed to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work and our products will be. We want to hear from you, so please don’t hesitate to apply. We look forward to receiving your application.

IMPORTANT NOTICE

We can only consider applications from candidates who are based in, and have the right to work in, the country where this role is advertised. At this time we are unable to sponsor a visa or support relocation for this position.