Director - Experience Analytics

October 8

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specialty insurance • extended service products and related services • renters insurance • lender-placed homeowners insurance • flood insurance

10,000+

💰 Post-IPO Debt on 2023-02

Description

• Lead a team of CX/EX analysts, fostering a culture of continuous learning and professional development. • Develop and implement a comprehensive strategy for the CX/EX reporting and analytics function, aligning it with the organization's broader goals. • Establish best practices for data analysis, reporting, and automation to enhance the efficiency and effectiveness of the team. • Oversee the development of reports and dashboards that provide clear, actionable insights for senior leadership and other key stakeholders. • Guide the team in leveraging multiple data sources to create comprehensive reports and analysis. • Lead the transition from descriptive to predictive experience analytics, applying predictive models to forecast trends and identify opportunities for improvement. • Collaborate closely with the Data Analytics, Experience, IT and Operational teams to ensure alignment and integration of data sources, methodologies, and insights. • Explore and leverage AI tools and technologies to create efficiencies in data processing, analysis, reporting, and predictive analytics. • Provide hands-on training and mentorship to analysts, helping them develop technical skills in statistics, analytics, reporting and predictive analytics. • Encourage innovation and creative problem-solving within the team, fostering an environment where new ideas and approaches are valued.

Requirements

• Bachelor’s degree in Data Science, Statistics, Business Analytics, or a related field. • Minimum of 7 years of experience in data analytics/reporting, with at least 3 years in a leadership or management role. • 7 years of experience in statistical analysis, data visualization, and reporting tools (e.g., SQL, Power BI, R, Python, Tableau); expert knowledge in Excel. • Proven experience in building and leading a data analytics/reporting function within a complex organization. • Proven experience reporting on and deriving insights from both structured and unstructured data. • Experience with machine learning technologies, particularly in their application to data analytics, predictive modeling, and process automation. • Exceptional leadership and people management skills, with the ability to inspire and guide a team of analysts. • Strong strategic thinking and problem-solving abilities, with a focus on deriving actionable insights from data. • Excellent communication skills (in English – both verbal and written), with the ability to present complex data in a clear and compelling way to non-technical stakeholders. • Ability to work collaboratively in a fast-paced environment and manage multiple priorities effectively.