Senior Data Analyst – Revenue Intelligence

Kpler; London (KY); On-site; USD 100,000 - 140,000; Full time

Job summary

Kpler is seeking a Senior Data Analyst to own the revenue intelligence pillar within the Business Intelligence team. You will build and maintain data models and reporting that reveal ARR, retention, pipeline, churn, and renewals, using Salesforce and subscription billing data.

Data will be modeled in BigQuery and served through Looker and AI-assisted tools to empower finance and sales decisions. Situated at the intersection of data engineering and commercial analytics, you will fix revenue

Responsibilities

• Own the revenue intelligence pillar including ARR, retention, pipeline, churn and renewals.
• Build and maintain data models and reporting that drive business decisions.
• Model data from Salesforce and subscription billing systems in BigQuery.
• Serve insights through Looker and AI-assisted tools.

Skills

Revenue analytics

Data modeling

Cross-functional collaboration

Reporting

Tools

Salesforce

BigQuery

Looker

AI-assisted tools

Job description

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.