Revenue Operations Analyst

DealHub Ltd; Bengaluru; On-site; INR 1,250,000 - 1,800,000; Full time

Benefits offered by this job

Global exposure

International team

Competitive compensation

Job summary

Rystad Energy is seeking a Sales Operations Analyst to join our data- and analytics-focused team in Bengaluru. You will convert CRM and business system data into trusted models, KPI definitions, and actionable insights for Sales & Marketing.

The role emphasizes hands-on analytics: SQL, Power BI, semantic modelling, validation, automation, and AI-assisted workflows, with additional support for pipeline hygiene and forecasting discipline.

Qualifications

• 3+ years of relevant experience across sales operations, business analysis, data analysis or BI.
• Bachelor’s degree in Data Analytics, Computer Science or related field preferred.
• Strong SQL skills and practical experience with Power BI, DAX and Power Query.
• Solid understanding of data modelling, grains, keys and relationships.
• Experience building reliable reporting datasets and KPI logic across data layers.
• Commercial and financial acumen with understanding of forecasts and variances.
• Ability to structure problems, define requirements and translate to technical solutions.
• Attention to detail with rigorous validation and documentation.

Responsibilities

• Build and maintain SQL transformations and analytical models across CRM, finance and operations.
• Develop Power BI semantic models, dashboards, and reusable DAX measures.
• Translate business questions into structured reporting requirements and KPI definitions.
• Analyze pipeline, revenue, renewals, activity and usage trends and drivers.
• Validate data mappings, joins, and reconciliation with source systems.
• Investigate data quality issues and reporting discrepancies.
• Create QA checks, exception reports, and repeatable workflows.
• Develop AI-assisted workflows with human validation and governance.
• Maintain clear metric lineage and documentation for business users.
• Support core sales operations checks including pipeline hygiene and forecast performance.

Skills

SQL

Power BI

DAX

Power Query

Excel Advanced

Data Modelling

KPI Logic

CRM Systems

Business Analysis

Python

Git

APIs

JSON

Tabular Editor

DAX Studio

AI Tools

Education

Bachelor's in Data Analytics

Tools

Git

APIs

JSON

Tabular Editor

DAX Studio

Job description

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