Senior Business Analyst

Geode Capital•Boston, MA

11d•Hybrid

About The Position

Geode Capital Management is hiring a full-time Senior Business Analyst – Data to support the expansion and adoption of enterprise data capabilities. The role serves as a liaison among business stakeholders, product managers, data engineering teams, and technology leadership, ensuring enterprise data solutions address business, operational, reporting, and analytical needs. The analyst identifies business requirements, analyzes data processes and workflows, defines functional specifications, supports data modernization, and contributes to successful delivery of enterprise data solutions. The position is based in Geode’s Boston office. Under the current policy, employees attend the office Tuesday, Wednesday, and Thursday, with the option to work remotely Monday and Friday; the policy may change. The role works across business and technology teams to gather and prioritize requirements, document processes and data definitions, support operational data stores and enterprise data capabilities, and guide solution delivery. It also contributes to Agile practices, testing, data quality, operational reviews, and continuous improvement. Geode is an institutional asset manager founded in 2001 and headquartered in Boston. It employs approximately 200 people and manages over $2 trillion. Compensation includes base salary and variable compensation, alongside a comprehensive benefits package. The company describes a hybrid work arrangement and a culture that encourages community engagement.

Requirements

Bachelor’s degree in Business, Finance, Computer Science, or a related field.
At least 8 years of experience in Business Analysis, Product Analysis, Data Analysis, Project Management, or related roles.
Experience gathering and documenting requirements for enterprise data, reporting, analytics, or technology initiatives.
Strong understanding of operational data stores, data warehousing, data governance, data quality, reporting, and API-based integrations.
Experience documenting business processes, functional specifications, user stories, use cases, and data requirements.
Strong analytical and problem-solving skills, including the ability to understand complex business and data workflows.
Experience collaborating with business stakeholders and technical teams to deliver scalable solutions.
Experience supporting Agile delivery teams and participating in backlog refinement, sprint planning, and user acceptance testing.
Excellent communication, facilitation, stakeholder management, and documentation skills.
Ability to influence decisions through analysis, business case development, and fact-based recommendations.
Techno-functional mindset and interest in improving business processes and delivering high-quality data solutions with measurable business value.

Nice To Haves

Experience in Asset Management, Investment Management, or Financial Services.
Familiarity with AWS, Snowflake, DBT, Tableau, REST APIs, and cloud-native architectures.

Responsibilities

Partner with business stakeholders to understand, document, and prioritize data-related business requirements.
Analyze current business processes, data flows, and operational workflows to identify improvement and automation opportunities.
Translate business needs into functional requirements, user stories, process flows, and acceptance criteria.
Collaborate with Product Managers, Data Engineers, Architects, and Operations teams throughout solution delivery.
Identify new data requirements and onboarding opportunities to support expansion of operational data stores and enterprise data capabilities.
Facilitate requirements-gathering sessions, stakeholder workshops, and process reviews.
Document source-to-target data mappings, business rules, data definitions, and operational process requirements.
Help prioritize enhancements and roadmap initiatives based on business value, operational impact, and stakeholder needs.
Develop and maintain business process documentation, workflow diagrams, and requirements traceability artifacts.
Analyze data quality issues and work with engineering teams to define remediation requirements and validation criteria.
Review data contracts, API specifications, and integration requirements for consistency, completeness, data quality, and alignment with enterprise standards.
Document consumer requirements and business use cases to support the design and adoption of enterprise data APIs and reusable data services.
Participate in test planning, user acceptance testing, requirements validation, and defect triage.
Help define data quality, completeness, timeliness, and operational reporting requirements.
Support operational reviews, incident investigations, root cause analysis, and continuous improvement initiatives.
Identify reporting, analytics, and operational data needs with stakeholders across the organization.
Promote Agile delivery practices, transparency, stakeholder communication, and data-driven decision-making.