About Invesco

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Job Summary

Serve as a senior individual contributor on the Capital Markets Product & Business, Data & Analytics team, independently leading the design, development, and delivery of reporting and analytics solutions across Capital Markets including Counterparty Relations, Securities Lending, Governance, Syndicate, and related Capital Markets functions. Partner directly with senior stakeholders and cross-functional teams to translate business requirements into scalable, data-driven deliverables that support enterprise-level strategy and executive engagement. Mentor junior team members and coordinate resources to ensure timely, high-quality output.

Responsibilities

• Independently own and deliver end-to-end analytics projects, including requirements gathering and data sourcing through modeling, visualization, and stakeholder presentation—with minimal oversight

• Design, build, and maintain Power BI semantic models, dashboards, and automated reporting pipelines leveraging SQL, Python, and Snowflake to support executive-level decision-making

• Serve as a primary point of contact for business stakeholders across Capital Markets functions, translating complex data into clear, actionable insights for senior leadership

• Identify material gaps in source data and develop scalable solutions to resolve inconsistencies, with a focus on long-term automation over manual workarounds

• Expand, refine, and maintain the team's reporting portfolio to meet evolving business needs

• Coordinate with team members to distribute workstreams, ensure quality standards, and maintain production reporting timelines

• Mentor and develop junior analysts by providing technical guidance, code review, and structured feedback on deliverables

• Proactively identify opportunities to streamline processes, improve data architecture, and build reusable infrastructure across the team's analytics stack

• Conduct ad hoc analyses and support special projects as needed to advance Capital Markets, Product & Business, and Counterparty Engagement objectives

Experience/Knowledge

• Experience in data analytics, business intelligence, or a related function, preferably within financial services, investment management, or capital markets. 5+ years preferred; exceptional candidates with 3+ years will be considered

• Demonstrated ability to independently lead projects from scoping through delivery with minimal direction

• Experience working with large, multi-source datasets and translating complex data into executive-ready reporting

Skills:

• Fluency in SQL, including stored procedures, CTEs, temp tables, and query optimization across relational databases (SQL Server, Snowflake)

• Advanced Power BI skills: semantic modeling, DAX, Power Query (M), data pipeline design, and performance tuning

• Python or R proficiency: data manipulation, automation, and integration with enterprise data sources (e.g., Bloomberg, Aladdin extracts)

• Strong stakeholder communication skills. The ability to present data-driven findings to senior leadership and cross-functional partners clearly and confidently

• Attention to detail and accuracy with the ability to recognize anomalies in data and their implications for the business

• Ability to think critically, ask the right questions, and drive solutions with a bias toward action

• Effective time and project management skills; able to manage multiple concurrent workstreams

• Excellent verbal and written communication skills

• Experience with AI tools and agents. The ability to leverage AI to accelerate workflows while applying independent judgment to validate, refine, and contextualize outputs

Formal Education:

• Bachelor's degree in Data Analytics, Computer Science, Finance, Economics, or a related quantitative field required

• Advanced degree or relevant certifications (e.g., CFA, PMP, or similar) a plus

Full Time / Part Time

Full time

Worker Type

Employee

Job Exempt (Yes / No)

Yes

Workplace Model

Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.