About Rystad Energy

Headquartered in Oslo, Norway, and with offices across the globe, Rystad Energy is an independent Energy research and business intelligence company providing data, tools, analytics, and consultancy services to clients exposed to the energy industry across the globe.

Rystad Energy has a range of global databases and research products for companies in the Oil & Gas, Oilfield Services, and Renewables sectors, as well as Investors, Investment Banks and Governments. We also provide a range of advisory services for our clients with capabilities across the Energy value chain.

Rystad Energy is a rapidly growing company providing the next generation analytical tools and advice for the industry. Rystad Energy combines a high-performance culture with a deeply collaborative ethos, providing ample opportunities for growth, learning, contribution, and career advancement. Read more at www.rystadenergy.com.

The role

As a Sales Operations Analyst, you will sit at the intersection of business analysis, data analysis and financial analysis. You will turn data from CRM and other business systems into trusted models, commercial insight and practical actions for Sales & Marketing.

Most of the role is hands-on analytical delivery: SQL, Power BI, semantic modelling, validation, automation and controlled AI workflows. A smaller part supports core sales operations, including pipeline hygiene, performance checks and forecasting discipline.

Key responsibilities

Build and maintain SQL transformations, reusable datasets and analytical models across CRM, commercial, financial and operational data
Develop Power BI semantic models, dashboards and reusable DAX measures, with clear relationships and governed calculation logic
Translate business questions into structured requirements, trusted KPI definitions and scalable reporting solutions
Analyse pipeline, revenue, renewals, activity and usage through trends, variances, performance drivers and gap analysis
Validate grain, keys, joins, filters, mappings and deduplication rules, and reconcile reporting outputs to source systems
Investigate refresh failures, source changes, data quality issues and reporting discrepancies before they affect business decisions
Build QA checks, exception reporting and repeatable workflows that reduce manual effort and improve control
Develop and improve approved AI-assisted workflows for analysis, code, documentation and automation, with disciplined human validation
Maintain clear metric, lineage and decision documentation, and explain technical findings in practical business language
Support core sales operations checks covering pipeline hygiene, funnel movement, activity, compliance and forecast performance

Requirements

Skills & attributes for success 

3+ years of relevant experience across sales operations, business analysis, data analysis, financial analysis, BI or commercial analytics
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Software Engineering or a related field preferred
Strong SQL skills and practical experience with Power BI, DAX, Power Query and advanced Excel
Solid understanding of data modelling concepts, including facts, dimensions, grain, keys and table relationships
Proven ability to build reliable reporting datasets, reusable KPI logic and reconciliations across multiple data layers
Commercial and financial acumen, with the ability to understand performance drivers, forecasts, variances and business trade-offs
Strong business analysis skills: structure ambiguous problems, define requirements and connect business needs to technical solutions
Strong analytical judgment and attention to detail, with a disciplined approach to validation, debugging and documentation
Ability to work independently, with strong interpersonal skills to proactively initiate and build relationships with stakeholders across the globe, technical and non-technical
Experience with CRM systems and commercial, finance, product, customer, usage or operational data is advantageous
Exposure to Python, Git, APIs, JSON, Microsoft Fabric, Tabular Editor or DAX Studio is advantageous
Responsible use of AI tools, with sound judgment around accuracy, access control and sensitive data

Benefits

A global company well recognized within the energy space for its high levels of competence and independence
A diverse, dynamic and international highly skilled working environment
Competitive compensation and benefits
Being part of a quickly expanding global business with new development opportunities

Rystad Energy

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