Auto Insurance β’ Life Insurance β’ Retirement Planning β’ Homeowners Insurance β’ Motorcycle Insurance
10,000+ employees
Founded 1931
π° Post-IPO Equity on 2014-01
Yesterday
πΊπΈ United States β Remote
π΅ $69.2k - $123.8k / year
β° Full Time
π Senior
π Data Analyst
π¦ H1B Visa Sponsor
Auto Insurance β’ Life Insurance β’ Retirement Planning β’ Homeowners Insurance β’ Motorcycle Insurance
10,000+ employees
Founded 1931
π° Post-IPO Equity on 2014-01
β’ Improve the Customer Experience: Provide an exceptional customer experience at every touchpoint. β’ Expand & Enhance Distribution: Promote top line growth, increase producer retention, and increase sales. β’ Optimize Systems, Technology and Processes: Streamline and utilize standard processes to improve ease of doing business. β’ The Data Analytics Senior Consultant II is responsible for leveraging data and analytics to answer complex questions and influence business strategy through communication of findings to senior management. β’ The position is also responsible for developing standards of practice around data retrieval, data manipulation, data reporting and data analytics. β’ Synthesizes large amount of complex data into meaningful conclusions and recommendations. β’ Compiles, cleans, organizes, and analyzes Allstate Financial Services sales data to understand the sales funnel and what is driving business results. β’ Develops data assets through the creation, publication and maintenance of dashboards and other types of reporting for stakeholders. β’ Works with teams developing hypotheses and recommendations leading to optimization of the online sales shopping experience. β’ Evaluates the outcomes of these recommendations. β’ Monitors and evaluates projects / business initiatives against key performance indicators (KPIs) and communicates results and recommendations to management. β’ Be a thought leader; recommends process improvements and influences strategy through data and analytics.
β’ 3+ years of data and analytics experience; life insurance and annuity experience preferred but not required. β’ Uses sound decision making capabilities including problem solving approaches, decision frameworks; ability to design and lead complex analysis. β’ Advanced quantitative and analytical skills β’ Proficient in SQL β’ Experience in different programming languages such as Python and R β’ Strong presentation skills; dynamically (persuasively) presenting ideas to management. β’ Ability to persuasively advocate a position and build momentum for change and action. β’ Ability to inspire trust and influence management. β’ Advanced ability to understand Business Insurance consumer trends, industry/ competitive dynamics, and economics. β’ Data visualization experience β’ Strong written and verbal communication β’ Microsoft PowerBI development a plus β’ General life insurance knowledge a plus
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