Web Analytics Analyst

Hagerty

1d•Remote

About The Position

As a Web Analytics Analyst at Hagerty, you will be instrumental in enhancing digital customer insights and collaborating with product managers and application teams to analyze user interactions with digital products. Your role involves translating findings into actionable insights to shape roadmaps, improve conversion, and elevate the customer experience. You will manage the Adobe Analytics platform, ensuring it serves as a reliable foundation by curating dashboards, enabling self-service reporting, and guiding teams on data interpretation best practices. Additionally, you will work with the MarTech team and application owners to standardize measurements, improve data quality, and ensure tracking is reliable, consistent, and compliant.

Requirements

Bachelor’s degree in a related field (e.g. Data Science, Analytics, Computer Science), or equivalent practical experience.
Proven experience successfully implementing and maturing digital product analytics across multiple web applications.
Bring an appreciation for enthusiast-driven or lifestyle brands, understanding how identity, passion, and community engagement influence digital behavior and long-term loyalty.
Deep knowledge of web analytics platforms (Adobe Analytics and ContentSquare) and patterns for standardization, implementation, governance, QA, and reporting.
Experience owning core dashboards and enabling stakeholders to self-serve ad hoc insights.
Familiarity with tag management and consent management tools (e.g., Tealium, Transcend) and how they impact measurements.
Excellent communication and data storytelling skills, able to influence product decisions with clarity.
Proficient at debugging tracking issues in-browser using developer tools.
Working knowledge of privacy regulations and standards (e.g., GDPR, CCPA) and how they impact analytics implementations.
Build and foster a culture where the best ideas win, even when they are not your own.

Responsibilities

Measure user behavior and drive product improvements
Partner with Product Managers and marketing team members to define KPIs and measurement plans for their products/campaigns and surfacing the right metrics and instrumentation needed to evaluate success.
Perform ongoing deep-dive analyses to understand how users interact with our products, identify trends and patterns in behaviors, pain points, opportunities and changes over time that may impact KPIs.
Translate findings into clear, actionable insights that shape roadmaps, and improve customer experience, conversion, and product outcomes.
Analyze and optimize end-to-end customer journeys, identifying opportunities across insurance, membership, marketplace, and content to improve conversion, cross-sell, engagement, and retention.
Define and measure cross-product lifecycle KPIs that connect behavioral engagement to revenue, retention, renewal, and customer lifetime value.
Strengthen experimentation maturity by defining measurement strategies for A/B and multivariate tests, validating instrumentation prior to launch, and ensuring statistically sound interpretation of results.
Partner with product teams to define user segments to better understand user journeys and outcomes.
Quantify and communicate business impact clearly to product and senior leadership, tying behavioral insights directly to revenue and strategic outcomes.
Enable confident decision-making with a trusted analytics foundation
Steward the Adobe Analytics platform as a trusted source for digital product metrics, ensuring consistency and reliability.
Define and maintain platform standards and governance (schema, taxonomy, naming conventions, documentation, QA processes) that enable consistent reporting at scale.
Curate key product insight dashboards used by product managers and business leaders, with clear metric definitions and decision-ready views.
Enable self-service reporting by creating templates, and documentation for ad-hoc analysis and ongoing monitoring.
Serve as the Adobe Analytics subject-matter expert, providing best practices, guidance and training so teams interpret and use data confidently and correctly.
Integrate behavioral analytics with relevant backend systems and datasets to support a more complete view of the customer journey.
Standardize measurement to enable reliable, compliant insights
Partner with the MarTech (tag management) team and application owners to ensure accurate, reliable data collection across digital products.
Define and drive adoption of standardized tracking patterns for our applications to drive consistency and comparability between product spaces.
Champion privacy-aware, consent-aligned analytics practices consistent with Hagerty’s brand promise and regulatory requirements.
Elevate data quality and observability by monitoring instrumentation health, detecting KPI anomalies, and partnering with engineering teams to diagnose tracking regressions following releases.