Data Associate

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments. Wood Mackenzie Values Inclusive – we succeed together Trusting – we choose to trust each other Customer committed – we put customers at the heart of our decisions Future Focused – we accelerate change Curious – we turn knowledge into action The Opportunity: Establishing resilient, sustainable and reliable portfolios is critical to energy companies as they develop agile business models to navigate the Energy Transition. We strive to be the partner of choice in offering a range of world-class products and services to support the business needs of these companies. Our global subsurface research team delivers integrated research, data analysis and industry-leading thought leadership, across the geo-energy landscape, enabling customers to make quicker, more effective decisions. The Role: We are looking for a detail-oriented and dependable Data Associate to join our Gurugram-based Corporate Data team. In this role, you will be responsible for the daily tracking, updating, and maintenance of mergers and acquisitions (M&A) deal data, reported financial data, and reported operational data across the energy and natural resources sectors. You will play a critical role in ensuring our data products reflect the latest market activity with the highest standards of accuracy and timeliness. This is an excellent opportunity for someone who takes pride in data quality, works with precision, and is eager to develop their skills in a fast-paced, analytically driven environment. Key Responsibilities M&A Data Monitor and update M&A deal data on a daily basis, capturing new transactions, deal status changes, valuations, and related corporate activity across relevant sectors Flag data anomalies or unusual deal activity to senior team members promptly Reported Financial Data Collect, update, and maintain reported financial data for companies across coverage, including income statements, balance sheets, and cash flow statements sourced from regulatory filings, earnings releases, and company reports Ensure financial data is accurately mapped to the correct entities, time periods, and reporting currencies in line with internal data standards Monitor corporate reporting calendars to ensure timely capture of new financial disclosures Reported Operational Data Update and maintain operational data such as production, reserves, and other performance indicators as reported by companies Cross-reference operational data against multiple sources to ensure consistency and completeness Track and incorporate revisions or restatements to previously reported operational figures Data Quality and Process Ensure all data entries are accurate, complete, and consistent with established data standards and taxonomy across all data types Conduct routine quality checks and data audits to identify and resolve discrepancies or gaps Work with agentic AI tools to support and accelerate data collection, validation, and enrichment workflows Collaborate with Corporate Data and Research team to verify information and resolve queries Maintain detailed records of data sources and update logs in line with internal governance standards Support continuous improvement of data processes and contribute ideas to enhance workflow efficiency Required Skills and Qualifications Bachelor's degree in Business, Economics, Finance, Information Management, or a related field Strong attention to detail with a demonstrated commitment to accuracy and data quality Proficiency in Microsoft Excel, including use of formulas, filters, pivot tables, and data validation functions A reliable and conscientious working style, with the ability to manage repetitive tasks consistently and to a high standard Familiarity with or openness to working with agentic AI tools and automation-assisted workflows Good written and verbal communication skills in English Ability to work independently and meet daily deadlines in a structured environment Preferred Qualifications Prior experience in a data entry, data operations, or research support role Exposure to M&A, corporate finance, or energy/commodities sector data Familiarity with AI-assisted tools or prompt-based workflows