Cross-Sell Data Analyst, Dynamics 365HUB International • Chicago, Illinois, United States

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Cross-Sell Data Analyst, Dynamics 365

HUB International

Chicago, Illinois, United States

Chicago, Illinois, United States

À propos

Cross‑Sell Data Analyst The cross‑sell data analyst is responsible for identifying cross‑sell opportunities within the producer's book across all business lines for the region by analyzing both internal and external data sources, such as the 5500 form. The analyst will provide data‑driven insights to enhance cross‑sell opportunities. Additionally, the individual will collaborate with the national teams for Commercial, Employee Benefits, Retirement & Private Wealth and Personal Lines, as well as with the regional cross‑sell coordinator, to support producer engagement and cross‑selling initiatives. This role reports to National Chief Cross‑Sell Officer. Success is measured by the ability to perform in‑depth analysis using both internal and external data sources and communicate data‑driven insights into cross‑sell opportunities to producers and advisors. Responsibilities Conduct in‑depth analyses of producers' books to identify potential cross‑sell leads and help build a pipeline of cross‑selling opportunities. Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps in services, excessive fees, benchmarks for improvements, elevated fiduciary exposure, financial health indicators, current broker/advisor capabilities, etc., to spot opportunities. Identify trends within the data and provide actionable insights and recommendations for producers. Generate reports in Power BI, Excel, and other tools based on collected data. Build and maintain relationships with producers, the regional cross‑selling team, and other business stakeholders. Perform additional job‑related duties as needed. Qualifications Bachelor's degree with a major in Data Science, Statistics, Business, Finance, or Economics. Insurance industry experience required. At least 5+ years of experience in the same or related role preferred. Experience using Power BI and/or AI tools. Experience with Dynamics 365. Ability to apply an investigative approach and facility with large data sets to uncover lead and cross‑selling opportunities. Ability to create standard and ad‑hoc reports. Ability to derive insights and create recommendations. Must be detail‑oriented and possess strong listening skills. Previous experience at a carrier or insurance broker preferred. Strong communication, analytical, interpersonal, multi‑tasking, and organizational skills required. The preferred candidate is a team player with self‑motivation, and the ability to meet critical deadlines and work in a fast‑paced environment. Salary and Benefits Expected salary range: $80,000 to $120,000. Benefits may include health, dental, vision, life, disability insurance, FSA, HSA, and 401(k) accounts, paid time off, vacation, sick, personal, floating holidays, company holidays, eligible annual bonuses, equity and commissions for some positions. Travel and Location Required travel: Up to 50%. Education and Experience Required Required: High school or equivalent. Required experience: 5‑7 years of relevant experience. Equal Opportunity Statement HUB International Limited is an equal opportunity employer that does not discriminate on the basis of race/ethnicity, national origin, religion, age, color, sex, sexual orientation, gender identity, disability or veteran's status, or any other characteristic protected by local, state or federal laws, rules or regulations. E-Verify Program We endeavour to make this website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the recruiting team HUBRecruiting@hubinternational.com. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
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Chicago, Illinois, United States

Compétences linguistiques

English

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