At Kpler, we are dedicated to helping our clients navigate complex markets with ease.
By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms.
Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape.
Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
As a Senior Data Analyst in Kpler’s Business Intelligence team, you will own the revenue intelligence pillar, building and maintaining the data models and reporting that help the business understand how we generate revenue - including ARR, retention, pipeline, churn, and renewals.
You will work with data from Salesforce and subscription billing systems, model it in BigQuery, and serve it through Looker and AI-assisted tools.
This role sits between data engineering and commercial analytics.
One week you might be fixing a revenue pipeline or investigating a data quality issue; the next, you’ll be explaining a retention trend to Finance or helping Sales and RevOps understand their data.
You’ll have the opportunity to own the numbers that commercial and finance teams rely on to make decisions.
Model data from Salesforce and subscription billing systems into clean, documented reporting tables, with clear data grain, deduplication rules, and metric definitions.
Build and maintain LookML models, Explores, and dashboards used for revenue reporting, ensuring consistent naming, definitions, documentation, and data.