Job Description

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.

Responsibilities

• 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 efficiency
• Identify 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 changes
• Mentor 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.

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