Data Analytics Lead Consultant

4 days ago

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Allstate

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Auto Insurance • Life Insurance • Retirement Planning • Homeowners Insurance • Motorcycle Insurance

10,000+ employees

Founded 1931

💰 Post-IPO Equity on 2014-01

Description

• The Data Analytics Lead Consultant is responsible for leveraging data and analytics to answer complex questions and influence business strategy through communication of findings to senior management. • The position is also responsible for developing standards of practice around data retrieval, data manipulation, data reporting and data analytics. • Synthesizes large amounts of complex data into meaningful conclusions and recommendations. • Compiles, cleans, organizes, and analyzes Allstate Financial Services sales data to understand the sales funnel and what is driving business results. • Develops data assets through the creation, publication and maintenance of dashboards and other types of reporting for stakeholders. • Works with teams developing hypotheses and recommendations leading to optimization of the online sales shopping experience. • Evaluates the outcomes of these recommendations. • Monitors and evaluates projects / business initiatives against key performance indicators (KPIs) and communicates results and recommendations to management. • Be a thought leader; recommends process improvements and influences strategy through data and analytics.

Requirements

• 5+ years of data and analytics experience; life insurance and annuity experience preferred but not required. • Uses sound decision making capabilities including problem solving approaches, decision frameworks; ability to design and lead complex analysis. • Advanced quantitative and analytical skills. • Proficient in SQL. • Experience in different programming languages such as Python and R. • Strong presentation skills; dynamically (persuasively) presenting ideas to management. • Ability to persuasively advocate a position and build momentum for change and action. • Ability to inspire trust and influence management. • Advanced ability to understand Insurance consumer trends, industry/ competitive dynamics, and economics. • Data visualization experience. • Strong written and verbal communication.