Technical Business Analyst (Data)

Technical Business Analyst (Data) Location: Hybrid (3 days per week in Denver office) Duration: 12-month contract - likely to extend to 24 months Pay Range: $55-$60 per hour Overview Join a global Investment Data Strategy & Solutions team supporting front-, middle-, and back-office investment operations. The role involves working closely with portfolio managers, traders, and research analysts to analyse, document, and improve data workflows and user-developed applications. You'll be responsible for understanding existing Python and VBA-based tools, identifying data sources, and proposing strategic solutions to standardise and de-risk processes using enterprise platforms (OMS, S&P EDM, Eagle, FactSet, etc.). This position offers exposure to cutting-edge AI initiatives, a highly collaborative international environment, and the opportunity to influence how data is leveraged across 60+ investment desks globally. Key Responsibilities • Conduct workshops and interviews with portfolio managers, analysts, and traders to gather and analyse business requirements. • Identify and document investment data attributes, data lineage, and process impacts. • Analyse Python/VBA user applications and pipelines; identify improvement opportunities. • Produce functional requirements documents and Jira tickets outlining current and target states. • Partner with technology teams to ensure delivery of required system changes, testing, and sign-off. • Collaborate with central data management and architecture teams to ensure alignment across platforms. • Create repeatable testing frameworks to validate data and process changes. • Communicate regularly with stakeholders across business, technology, and data teams. • Support the integration of emerging technologies, including AI-based solutions, into data workflows. Required Skills & Experience • 10+ years of experience in financial services, ideally within asset management, investment banking, or wealth management. • Strong understanding of front-, middle-, and back-office investment operations. • Demonstrated knowledge of equities, fixed income, derivatives, fund management, or client reporting. • Hands-on experience with an Order Management System (OMS) (e.g., BlackRock Aladdin, Charles River). • Working knowledge of Python, VBA, and SQL. • Proven ability to write and implement business requirements, process maps, and user stories. • Excellent stakeholder management and communication skills. • Proficiency in Excel and process mapping tools (Visio, Lucidchart, etc.). • Analytical, structured, and detail-oriented approach with a focus on delivery. Preferred Skills • 3+ years of hands-on Python, SQL, and VBA development experience. • Prior experience creating AI utilities (e.g., multi-agent LLMs). • Experience mentoring junior analysts or team members. • Familiarity with S&P EDM (CADIS), Eagle, FactSet, Port, or other enterprise data tools. • Exposure to cloud platforms (Azure, Databricks, Snowflake). • Understanding of Agile methodologies and experience using Jira. • CFA candidate or relevant certification preferred. Soft Skills • Confident communicator capable of engaging directly with front-office stakeholders. • Assertive and able to challenge constructively when required. • Collaborative, adaptable, and motivated by continuous improvement. ...