
at Invesco
Asset ManagementPosted 13 days ago
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**Senior Analyst, Client Analytics** Drive data-driven decisions at Invesco, a global investment firm. Leverage business intelligence tools (Tableau, Power BI) and SQL for data analysis, creating actionable insights for sales and distribution teams. Manage analytics projects from inception to execution, collaborating cross-departmentally to improve sales effectiveness. Requires 3+ years in analytics, strong problem-solving skills, and industry experience (financial services, asset management preferred). Full-time role based in Atlanta, GA.
- Compensation
- Not specified
- City
- Atlanta
- Country
- United States
Currency: Not specified
Full Job Description
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 you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.
Whats in it for you?
Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
Job Description
The Department: Distribution Intelligence
Distribution Intelligence is responsible for increasing client-focused, data-driven decision making at Invesco. The group partners primarily with the Americas Distribution and Marketing teams to help increase net sales through a deeper understanding of clients, financial advisors, direct purchasers, sales activity, and market opportunity. The team operates with a builder mindset: identifying high-value business questions, creating scalable analytics solutions, and partnering directly with the field to ensure insights translate into action. It works like a small startup within the organization, with a clear focus on improving effectiveness and efficiency through end-to-end management of data, analytics, visualization, and in-field implementation. In short, it is an exciting place for self-starters who want to develop their capabilities, contribute to commercial analytics, and own meaningful outcomes.
Why This Role Is Exciting
Contribute to how Distribution uses data to identify growth opportunities, prioritize clients, and improve sales effectiveness
Work with sales leaders and business partners on strategic priorities with measurable business impact
Build analytics, dashboards, and data products that support field behavior and decision making
Collaborate across Sales, Marketing, Product, Data Science, and Technology
Join a team with a builder mindset, where curiosity, ownership, innovation, and commercial impact are valued
Key Responsibilities / Duties:
Analyze sales, ownership, client, and market data using business intelligence and modern data tools to help define business problems, uncover opportunities, and recommend actions
Support key components of the sales analytics roadmap and help ensure insights are actionable, scalable, and aligned with Distributions growth priorities
Help define, monitor, and measure client segmentation, campaign targeting, sales coverage, advisor prioritization, and strategy execution efforts
Manage analytical projects or defined workstreams from problem definition through solution design, implementation, communication, and adoption
Partner with Distribution, Marketing, Product, Data Science, and Technology teams to develop dashboards, data products, and automated insights that help business partners act with greater speed and confidence
Develop trusted relationships with Distribution leaders, sales consultants, product specialists, and other stakeholders, and communicate findings in a clear, business-oriented manner
Work Experience / Knowledge:
3+ years of experience developing actionable insights and applying data analytics in a corporate, consulting, financial services, asset management, marketing analytics, or sales enablement setting
Demonstrated ability to contribute to analytical workstreams, manage assigned deliverables, and convert business questions into practical analytics solutions
Experience with business intelligence and visualization tools such as Tableau or Power BI
Proficiency in data analysis and database querying using SQL; experience with Snowflake, AWS, Python, or similar modern data tools is preferred
Strong working knowledge of Microsoft Excel and PowerPoint, including the ability to communicate analytical findings through clear, executive-ready materials
Experience with financial transaction data, client analytics, sales analytics, marketing analytics, or the asset management industry is preferred
Experience working with sales, product, technology, or data partners and translating business needs into analytical or technical requirements
Skills / Competencies / Attributes:
Commercial curiosity, with the ability to understand business needs, frame analytical questions, and connect insights to outcomes
Strong problem-solving and quantitative skills, including the ability to define issues, identify root causes, evaluate options, and recommend solutions
Ability to balance technical analysis with practical application in a sales environment
Capable of explaining not only the how, but also the so what and now what for business partners
Comfort working in an agile, test-and-learn, and iterative environment with shifting priorities and ambiguous business questions
Strong relationship-building, communication, and collaboration skills
Strong project management, organizational skills, and attention to detail, with the ability to manage multiple assignments
Formal Education:
Undergraduate or advanced degree in a quantitative, business, finance, economics, analytics, statistics, mathematics, operations research, computer science, or related discipline
Coursework, certifications, or demonstrated experience in analytics, database management, data visualization, data engineering, machine learning, or financial markets is preferred
Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. 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. Incumbents may be required to perform other duties as deemed appropriate by the supervisor from time to time.
Full Time / Part Time
Full timeWorker Type
EmployeeJob Exempt (Yes / No)
YesWorkplace 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.
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.
Location: Atlanta, Georgia
Time Type: Full time




