About Invesco

As one of the worlds 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 youre 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 presentationwith 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 teams 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 teams 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:

• Bachelors 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

Worker Type

Job Exempt (Yes / No)

Workplace Model

Pursuant to Invescos Workplace Policy employees are expected to comply with the firms 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 others 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.

Invescos 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.