Senior Consultant, Data Analytics

Yesterday

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Logo of Allstate

Allstate

Auto Insurance β€’ Life Insurance β€’ Retirement Planning β€’ Homeowners Insurance β€’ Motorcycle Insurance

10,000+ employees

Founded 1931

πŸ’° Post-IPO Equity on 2014-01

Description

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.

Requirements

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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