Bloomberg

Bloomberg runs on data. Our products are fuelled 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.

Our Team:

The Physical Assets Data Team maintains databases on renewable projects and their corresponding financing instruments and parties that cover financing deals including transactions for the development, refinancing or acquisition of clean energy assets. New investment in renewable energy reached a record in 2023 and is a crucial component of the energy transition and the achievement of net-zero targets. The asset financing data is aggregated to create BloombergNEF flagship products like the Renewable Energy Investment Tracker and Energy Transition Investment Trends as well as monthly, quarterly, and annual league table reports published by the data team.

What's the Role?

As a Senior Data Analyst on the BloombergNEF Data team, you'll help grow Bloomberg's solar projects databases to further deliver an industry-leading data product offering. You will use your data management and problem-solving skills to maintain the workflow of extracting, transforming and loading of timely, accurate and comprehensive data across various Bloomberg platforms. You'll work in a hands-on and creative role completing a variety of projects to identify innovative workflow efficiencies and implement technical solutions to enhance our systems, products and processes. Our Data Analysts possess a unique combination of subject-matter-expertise in the energy industry, good communication skills and ability to build relationships with various partners, as well as interest in technology (or data management related tools). You'll collaborate closely with both our Data counterparts and the BloombergNEF Product team in Princeton, New York, London and Asia.

We’ll trust you to:

• Procure content to support best-in-class coverage of the solar projects' dataset

• Perform quality control to ensure data accuracy by inspecting Bloomberg data values and comparing them to source documents

• Design and manage workflow configurations for critical functions such as acquisition, worklist management and quality control

• Perform incident management, from troubleshooting and root cause analysis to overall problem management

• Build domain expertise to eventually set and maintain methodologies for data management

• Provide in-depth customer support to users of Bloomberg data products by resolving inquiries in a timely manner

• Analyse internal processes to find opportunities for improvement, as well as devise and implement innovative solutions

• Lead ad-hoc projects to optimise processes and improve the quality of the datasets.

• Report on results of ongoing operations and projects, as required

• Partner with a wide variety of partners from Engineering to Sales on product development

You’ll need to have:

• 4+ years experience in data analysis, information technology and/or renewable energy

• Strong passion for data and the overall energy transition movement

• Ability to think creatively and provide out of the box solutions with an eagerness to learn and collaborate

• Adaptability in a frequently changing environment and growing market

• A proven track record of successful project management skills and ability to prioritize tasks accordingly

• Interest and/or experience in client and stakeholder management

• Interest in and aptitude for technology

• Familiarity with data processing paradigms and associated tools and technologies

We’d love to see:

• Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification

• Knowledge of SQL/Python querying language

• Experience in semantic structures or data modelling

• Experience using data visualization tools such as Tableau, QlikSense or Splunk

Does this sound 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