Product Analyst - Bloomberg Data Management Services, Enterprise Data Products Location Dublin Business Area Product Ref # 10049209 **Description & Requirements** At Bloomberg Enterprise Data, we are fast-paced, innovative, and expanding! Our deep expertise in finance and financial technology (FinTech) allows us to partner closely with clients, understanding their unique business and data needs. With a vast selection of datasets covering all asset types, flexible delivery technologies, and tailored scheduling, we empower clients with the precise data they need - when and how they need it. Simply put, our award-winning data powers the capital markets. Our Data Management Services team (DMS) is an expanding part of Bloomberg's Enterprise Data group. DMS helps Bloomberg data together in a standardized model for easier and more consistent delivery across an organization's consuming systems. The DMS product - Data License Plus (DL+) - is an add-on service for Bloomberg Data License that optimizes daily Bulk and Per Security file onboarding by combining the data into a centralized Unified Data Model (UDM) for controlled data collection and delivery across consuming systems. **What's the role?** We're looking for a dynamic Product Analyst to join the Data Management Services (DMS) team. This is a unique opportunity to bridge the gap between business needs and product development. The ideal candidate will have a strong analytical background and a keen interest in understanding and shaping the future of our data management solutions. You will work closely with both clients and internal teams, gathering requirements, analyzing data, and contributing to the strategic direction of our product offerings. **We'll trust you to:** ● Use your understanding of Bloomberg data to facilitate the onboarding of data content to the DL+ platform. ● Manage the onboarding of Sustainable Finance datasets into the DL+ platform, including coordination with internal Bloomberg Sustainable Finance teams and third-party Sustainable Finance data providers. ● Own and coordinate ongoing Sustainable Finance data changes, including change notifications, dataset enhancements, and deprecations. ● Act as a key point of contact between Product, Engineering, Sustainable Finance content teams, and external vendors to ensure Sustainable Finance data changes are accurately reflected in the product. ● Gain an understanding of the DMS data model (UDM) and consider how the onboarding of new content will impact the model and product. ● Engage with Bloomberg Product owners on changes to existing content and specifications for new content sets. ● Gather and analyze business requirements from clients and stakeholders. ● Build clear and concise requirements analysis, specifications, and business process documentation. ● Define product requirements and functional specifications through collaboration with multiple partners. ● Work with internal and external teams during client onboarding processes to ensure timely and quality deliverables.. ● Deliver new product information and product updates to stakeholders (e.g., sales, marketing, engineering, support teams, and clients). ● Provide support and direction to internal teams in the definition of technical solutions across the product suite. ● Understand the product platform and its components and use it to improve client workflows. ● Develop best practices for existing business patterns and new feature ideas. ● Influence the strategic direction of the product by providing data-driven insights. ● Share and build knowledge within the product team. **You'll need to have:** ● Multiple years' experience in finance or the FinTech industry, particularly experience related to reference and pricing data. ● Experience working with Sustainable Finance, sustainability, or non-financial datasets, including data sourced from third-party vendors. ● Knowledge of asset classes like equities, fixed income, derivatives, indices, mortgages and their typical attributes and lifecycles, data used in the securities industry (especially related to reference data), pricing, FX, entity data, research data and OTCs. ● Technical knowledge including but not limited to use of SQL, Python, and Cloud technologies. ● Experience working in an agile environment. ● Excellent communication skills, the ability to balance multiple projects and priorities with appropriate judgment and time management skills. ● Strong analytical skills and the ability to interpret complex data. **We'd love to see:** ● Knowledge of securities and trading lifecycle, typical front/middle/back office functions. ● Data modeling experience in the financial services industry. ● Familiarity with vendor-provided Sustainable Finance data and common Sustainable Finance data challenges (e.g., methodology changes, coverage gaps, revisions, and restatements). ● An interest in meeting clients and prospects, learning about the industry and the challenges of implementing DL+, helping our global sales force. ● Demonstrable analytical skills. ● Thought leadership, passion and excitement for the product space. *Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net