Data Analyst - Bloomberg New Energy Finance (BNEF), Hong Kong (24-month contract)

Job description

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. The Team: Our BloombergNEF Data team builds data products that help clients navigate the transition to a low-carbon economy. By bringing together insights from multiple sources, we deliver high-impact datasets that support decision-making in markets where transparency is limited. Our datasets are designed to support financial professionals, corporate strategists, policymakers, and analysts who need deep insights into clean energy, transportation, commodities, and climate tech markets. We collaborate closely with cross-functional stakeholders across BNEF product areas, including Research, Engineering and Product. The role: The contingent worker will provide operational support and will focus on maintaining operational continuity across core data workflows. The role will also help alleviate operational workload, enabling the team to focus on strategic initiatives such as the extraction project and process improvement efforts. Additionally, the contingent worker will contribute to operational efficiency by identifying and supporting workflow optimization opportunities. We'll trust you to: Own data quality and validation end to end, investigating discrepancies, managing vendor escalations, and driving issues through to resolution. Partner with vendors, providing guidance and training to improve data quality and delivery standards. Manage day-to-day operational inquiries and escalations from internal stakeholders and external data vendors through the internal ticketing system to ensure timely resolution and adherence to service expectations. Identify process improvement opportunities and support operational efficiency initiatives. Help stabilize and improve existing data workflows, identifying opportunities to reduce manual work and supporting the transition to greater automation through ARD, STP pipelines, and LLM-based tools. Demonstrate ownership, accountability, and a proactive approach in delivering assigned responsibilities. You'll need to have: A Bachelor’s degree or higher in a relevant data, technology, or financial field, or equivalent professional experience Strong attention to detail and analytical skills, with the ability to validate datasets, identify discrepancies, and conduct root cause analysis Proficiency in Excel, including data manipulation and analysis A strong ownership mindset, with a proactive approach to problem-solving and driving issues through to resolution Ability to learn quickly and adapt to evolving processes while maintaining accuracy and quality Strong communication and collaboration skills, with the ability to work effectively with vendors, cross-functional teams, and independently when required An interest in data operations, process improvement, and automation Fluency in English and Mandarin as you will be covering Chinese data content If this sounds like you: Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://professional.bloomberg.com/ Contract will be administered by third-party vendor as a dispatched worker arrangement with Bloomberg. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success. Apply Now Back to Job Search Apply Now Save this Job