Senior Data Analytics Engineer

What Do We Need?

We're looking for a Senior Data Analytics Engineer who thrives in a fast-moving environment and enjoys solving complex data problems across a broad range of business functions. You bring hands-on experience building and maintaining data models, and you're equally comfortable diving into ad hoc analysis as you are designing scalable, automated reporting solutions.

You have strong SQL skills and experience with modern analytics tooling — dbt, Looker, Snowflake, or similar — and you know how to translate raw data into insights that non-technical stakeholders can actually use. You're proactive about data quality, care about documentation and best practices, and can manage your own workload across multiple competing priorities.

Experience working across the full analytics pipeline — from lead generation through to revenue — is a strong plus, as is a track record of enabling self-service analytics within a business.

In this role you will get to: 

• Develop high-impact reporting and analytics providing visibility into business operations, lead efforts to scale reporting through automation


• Partner with internal stakeholders (Sales, Product, Marketing, Finance, etc.) to increase the understanding, visibility and use of business metrics, encourage self-service analytics


• Perform ad hoc data exploration and analysis to answer immediate business needs.


• Identify opportunities to improve data quality, performance, and observability


• Help develop standards for analytics engineering best practices

We are looking for people who have at least 7 years of experience in analytics engineering, data engineering or analytics-heavy roles. You will have a Bachelor’s degree in a technical or quantitative field (Computer Science, Engineering, Math, Economics, bioinformatics etc.), or equivalent experience

The key skills we are looking for: 

• Advanced SQL — strong understanding of CTEs, window functions, query optimization


• Experience working directly with business teams to align on KPIs, define requirements, and deliver impactful insights


• Comfortable writing and maintaining data dictionaries, dbt Docs, or internal wikis


• Ability to design and build BI assets that are explainable and sustainable whether they are excel spreadsheets, BI dashboards or powerpoint presentations

You may also have 

• Experience with Python and shell scripting is a plus


• Familiarity with version control systems (e.g., Git) and CI/CD workflows for data engineering projects


• Experience working with DBT/DBT core


• Experience with multiple BI tools (e.g., Looker, Mode, Tableau)


• Curious, self-driven, analytical and excited to play with data


• Foundation in data quality, testing, and documentation