Erie Home
Senior Data Analyst
Erie Home, Toledo, Ohio, United States, 43614
Erie Home is looking for a highly skilled analytics practitioner to join our team as a Senior Data Analyst. This position will play a critical role in gathering, analyzing, and interpreting data in support of enterprise initiatives aimed at improving business processes and optimizing the customer experience. The role requires working closely with cross-functional teams to integrate findings into existing workflows that will advance business strategies.
Qualifications
Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field; Master's degree preferred.Proven experience (5+ years) as a Data Analyst or related role, preferably in a B2C setting.Expertise in SQL, Python/R, and data visualization tools (such as Power BI) with a strong understanding of database management and data warehousing concepts.Proficiency in web analytics through tools such as GA4, Adobe Analytics, or similar.Experience with best practices for digital attribution and incrementality measurement.Solid understanding of statistical measures, probability theory, machine learning techniques, and experience applying them in a business context.Familiarity with CRM fundamentals.Ability to communicate complex findings and technical concepts to non-technical stakeholders effectively.Requirements
Lead data-driven projects from inception to completion, including structured and unstructured data collection, cleansing, transformation, and visualization.Leverage and implement advanced statistical models and machine learning algorithms to solve complex business problems related to performance marketing, sales forecasting, customer segmentation, pricing optimization, and operational efficiencyIdentify opportunities for process improvements and efficiency gains through data analysis and automation.Proactively analyze digital metrics, including website unique visitors, email clicks, paid media click-thru-rate, social engagements, and revenue, to identify trends, behaviors, opportunities, risks and anomalies.Orchestrate and advance A/B testing framework; conduct experiments to measure efficacy.Partner with business intelligence team to maintain and expand reporting solutions for monitoring key metrics.Conduct ad hoc analysis and provide data-driven recommendations to enable quick adjustments in response to market changesMentor and provide guidance to junior analysts, fostering a culture of continuous learning and development within the analytics team.Stay current with industry trends and best practices in data analytics, continuously enhancing our analytical capabilities and tools.
Salary Description
95,000
Qualifications
Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field; Master's degree preferred.Proven experience (5+ years) as a Data Analyst or related role, preferably in a B2C setting.Expertise in SQL, Python/R, and data visualization tools (such as Power BI) with a strong understanding of database management and data warehousing concepts.Proficiency in web analytics through tools such as GA4, Adobe Analytics, or similar.Experience with best practices for digital attribution and incrementality measurement.Solid understanding of statistical measures, probability theory, machine learning techniques, and experience applying them in a business context.Familiarity with CRM fundamentals.Ability to communicate complex findings and technical concepts to non-technical stakeholders effectively.Requirements
Lead data-driven projects from inception to completion, including structured and unstructured data collection, cleansing, transformation, and visualization.Leverage and implement advanced statistical models and machine learning algorithms to solve complex business problems related to performance marketing, sales forecasting, customer segmentation, pricing optimization, and operational efficiencyIdentify opportunities for process improvements and efficiency gains through data analysis and automation.Proactively analyze digital metrics, including website unique visitors, email clicks, paid media click-thru-rate, social engagements, and revenue, to identify trends, behaviors, opportunities, risks and anomalies.Orchestrate and advance A/B testing framework; conduct experiments to measure efficacy.Partner with business intelligence team to maintain and expand reporting solutions for monitoring key metrics.Conduct ad hoc analysis and provide data-driven recommendations to enable quick adjustments in response to market changesMentor and provide guidance to junior analysts, fostering a culture of continuous learning and development within the analytics team.Stay current with industry trends and best practices in data analytics, continuously enhancing our analytical capabilities and tools.
Salary Description
95,000