Senior Data Analyst
4 days ago
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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