Senior Data Analyst

Role Overview

• Own critical data pipelines.
• Architect scalable Looker solutions.
• Act as a trusted data partner to stakeholders across the business.
• Build robust, production-grade infrastructure.
• Translate complex datasets into actionable insights for a commercial audience.
• Work with real-time commodity flow data.

Requirements

• 5 years of experience in analytics, BI development, or a closely related data role.
• Solid understanding of data modelling principles: dimensional modelling, slowly changing dimensions, and denormalisation trade-offs.
• Experience working in a B2B SaaS environment, ideally with exposure to CRM data (Salesforce), product telemetry, or subscription billing datasets.
• Expert-level SQL skills with hands-on experience in BigQuery (or equivalent cloud data warehouse such as Snowflake or Redshift).
• Proven experience developing and maintaining production-grade Looker/LookML solutions
• you know the difference between a good Explore and a great one.
• Comfortable with version control workflows (GitHub/GitLab) and treating the BI codebase as production software.
• Python scripting experience for data wrangling or pipeline automation is advantageous.
• Familiarity with dbt or similar transformation tools is a strong plus.
• Business-first thinker.
• Detail-oriented and rigorous.
• Strong communicator.
• A degree in Computer Science, Statistics, Mathematics, Business, or a related field.

Tech Stack

• Amazon Redshift
• BigQuery
• Cloud
• Python
• SQL

Benefits

• We make things happen
• We act decisively and with purpose, going the extra mile.
• We foster relationships and develop creative solutions to address market challenges.
• We are accessible and supportive to colleagues and clients with a friendly approach.
• Compensations not stated.