{"id":3554638,"url":"https://alion.io/job/invesco-senior-analyst-client-analytics","title":"Senior Analyst, Client Analytics","company":{"id":13836,"name":"Invesco","domain":"invesco.com","url":"https://alion.io/company/invesco","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":32,"ghost_share":0,"stale_share":0.5,"repost_share":0.031,"time_to_fill_p50_days":47,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":170000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2036},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-30T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T14:25:40Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Invesco\nAs 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.\nWhat’s in it for you?\nOur people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:\nFlexible paid time off\n\nHybrid work schedule\n\n401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution\n\nHealth & wellbeing benefits\n\nParental Leave benefits\n\nEmployee stock purchase plan\n\nJob Description\nThe Department: Distribution Intelligence\nDistribution 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.\nWhy This Role Is Exciting\nContribute to how Distribution uses data to identify growth opportunities, prioritize clients, and improve sales effectiveness\nWork with sales leaders and business partners on strategic priorities with measurable business impact\nBuild analytics, dashboards, and data products that support field behavior and decision making\nCollaborate across Sales, Marketing, Product, Data Science, and Technology\nJoin a team with a builder mindset, where curiosity, ownership, innovation, and commercial impact are valued\nKey Responsibilities / Duties:\nAnalyze sales, ownership, client, and market data using business intelligence and modern data tools to help define business problems, uncover opportunities, and recommend actions\nSupport key components of the sales analytics roadmap and help ensure insights are actionable, scalable, and aligned with Distribution’s growth priorities\nHelp define, monitor, and measure client segmentation, campaign targeting, sales coverage, advisor prioritization, and strategy execution efforts\nManage analytical projects or defined workstreams from problem definition through solution design, implementation, communication, and adoption\nPartner 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\nDevelop trusted relationships with Distribution leaders, sales consultants, product specialists, and other stakeholders, and communicate findings in a clear, business-oriented manner\nWork Experience / Knowledge:\n3+ years of experience developing actionable insights and applying data analytics in a corporate, consulting, financial services, asset management, marketing analytics, or sales enablement setting\nDemonstrated ability to contribute to analytical workstreams, manage assigned deliverables, and convert business questions into practical analytics solutions\nExperience with business intelligence and visualization tools such as Tableau or Power BI\nProficiency in data analysis and database querying using SQL; experience with Snowflake, AWS, Python, or similar modern data tools is preferred\nStrong working knowledge of Microsoft Excel and PowerPoint, including the ability to communicate analytical findings through clear, executive-ready materials\nExperience with financial transaction data, client analytics, sales analytics, marketing analytics, or the asset management industry is preferred\nExperience working with sales, product, technology, or data partners and translating business needs into analytical or technical requirements\nSkills / Competencies / Attributes:\nCommercial curiosity, with the ability to understand business needs, frame analytical questions, and connect insights to outcomes\nStrong problem-solving and quantitative skills, including the ability to define issues, identify root causes, evaluate options, and recommend solutions\nAbility to balance technical analysis with practical application in a sales environment\nCapable of explaining not only the “how,” but also the “so what” and “now what” for business partners\nComfort working in an agile, test-and-learn, and iterative environment with shifting priorities and ambiguous business questions\nStrong relationship-building, communication, and collaboration skills\nStrong project management, organizational skills, and attention to detail, with the ability to manage multiple assignments\nFormal Education:\nUndergraduate or advanced degree in a quantitative, business, finance, economics, analytics, statistics, mathematics, operations research, computer science, or related discipline\nCoursework, certifications, or demonstrated experience in analytics, database management, data visualization, data engineering, machine learning, or financial markets is preferred\nDisclaimer: 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.\nFull Time / Part Time\nFull timeWorker Type\nEmployeeJob Exempt (Yes / No)\nYesWorkplace Model\nPursuant 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.\nThe 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.\nInvesco'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. 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