Lead Data Analyst

Accountabilities:

• Lead end-to-end analyses for complex and ambiguous business questions, from problem definition and data exploration through recommendations, implementation, and impact measurement.
• Design dashboards, reporting frameworks, and analytical tools that enable stakeholders to answer recurring questions independently while recognizing when a dashboard is not the appropriate solution.
• Establish high standards for analytical rigor, methodology, documentation, and communication while reviewing and mentoring the work of other analysts.
• Apply statistical methods, experimentation frameworks, and causal inference techniques when they provide stronger evidence and more reliable conclusions.
• Work across multiple business domains and develop sufficient context to provide credible analytical guidance rather than becoming limited to a single functional area.
• Partner with senior leaders to identify opportunities where data can improve efficiency, growth, decision-making, and business outcomes, including proactively identifying questions that have not yet been addressed.
• Collaborate closely with analytics engineers to influence data modeling, warehouse structures, and canonical definitions that support reliable and reusable analysis.
• Transform recurring analytical requirements into durable data models and scalable solutions instead of relying on one-off queries.
• Investigate inconsistencies between reports and datasets, establish trusted definitions, and help maintain a reliable analytical foundation across the organization.
• Mentor analysts through technical guidance, analytical techniques, business judgment, and clear communication without having formal people-management responsibilities.
• Translate complex findings into concise, understandable recommendations for both technical and non-technical stakeholders.
• Challenge assumptions when the evidence does not support a proposed conclusion and provide clear, data-backed perspectives to senior decision-makers.

Requirements:

• 8+ years of experience in data analysis, business intelligence, or a comparable analytical discipline, with a demonstrated history of producing insights that influenced business decisions.
• At least 2 years operating at a senior analyst level, independently owning complex projects and contributing to analytical quality standards across a team.
• Experience working within a centralized analytics function supporting multiple business areas and stakeholder groups.
• Bachelor's degree in a quantitative or technical discipline, or equivalent professional experience.
• Expert-level SQL skills and strong Python capabilities for statistical analysis and data exploration.
• Advanced experience with Looker or a comparable business intelligence platform, including dashboard development, semantic-layer concepts, and LookML or equivalent capabilities.
• Hands-on experience with modern cloud data warehouses such as BigQuery, Snowflake, Redshift, or similar platforms.
• Working knowledge of experimentation design and causal inference, with the ability to distinguish correlation from causation and apply appropriate analytical methods.
• Experience partnering with analytics engineers on data modeling, warehouse architecture, and scalable analytical solutions.
• Familiarity with revenue and go-to-market data, including sales pipelines, forecasting, funnels, customer retention, and CRM data, is an advantage.
• Strong ability to transform ambiguous or incomplete business questions into structured analytical approaches without extensive supervision.
• Demonstrated ability to mentor and influence colleagues without formal authority and build credibility through the quality of analytical work.
• Ability to quickly understand unfamiliar business areas and support a broad range of stakeholders across an organization.
• Strong communication and storytelling skills, with the ability to explain complex analytical findings clearly to technical and non-technical audiences.
• Comfortable operating in an ambiguous, fast-moving environment with a strong sense of ownership and urgency.
• Sound judgment when working with sensitive information, including data related to patients or healthcare operations, is a plus.

Benefits:

• Base salary range of $160,000–$200,000, depending on experience and level.
• Medical, dental, and vision coverage with options for low- or no-cost employee premiums.
• Employer-funded contributions to a Health Savings Account.
• 401(k) retirement plan.
• Equity incentive plan.
• Annual company-wide performance bonus opportunity of up to 15%.
• Remote-first working environment with access to a dedicated office and reimbursement options for coworking spaces.
• Flexible vacation policy.
• Five additional Summer Fridays off each year, separate from PTO.
• Home office and wellness stipend.
• Monthly internet stipend.
• Annual learning and development stipend.
• Equal opportunity workplace committed to an inclusive and diverse working environment.
• Applicants must be legally authorized to work in the United States; this position is not eligible for employer visa sponsorship.