Senior Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of cross-functional analytics initiatives. Collaborate with Operations, Sales, Finance, Product, Member Experience, leadership, and other departments to identify business challenges, outline requirements, analyze data, and provide sustainable solutions.

• Develop trustworthy data models. Design, construct, test, document, and sustain dbt models that convert raw source data into dependable, reusable, analytics-ready datasets.

• Engage extensively with BigQuery. Utilize advanced SQL in BigQuery to explore intricate questions, optimize queries, validate data, create reusable logic, and support production-quality reporting.

• Enhance and maintain the BI layer. Create and oversee dashboards, reports, semantic definitions, and self-service analytics experiences in Omni and/or Power BI.

• Standardize metric consistency. Assist in defining business metrics, reconciling conflicting data, documenting assumptions, and ensuring that stakeholders comprehend the meaning of data and how to effectively utilize it.

• Monitor and resolve data quality issues. Collaborate with Fivetran-fed data and downstream dbt/BI assets to detect pipeline problems, data freshness issues, schema changes, source system discrepancies, and reporting defects.

• Convert business ambiguity into data-driven solutions. Lead stakeholder engagements, pose insightful questions, clarify trade-offs, and translate business requirements into actionable data specifications and deliverables.

• Facilitate improved decision-making. Provide insights and reporting that assist teams in enhancing operational performance, sales efficiency, member experience, financial transparency, and leadership decision-making.

• Utilize AI tools judiciously and securely. Employ Claude and other AI tools to expedite analysis, SQL iterations, documentation, test generation, workflow automation, and stakeholder assistance while ensuring output validation and maintaining data quality.

• Elevate the standards for the Data team. Contribute to naming conventions, documentation protocols, QA practices, metric governance, dbt structure, BI usability, and overall confidence in the data ecosystem.

• Perform additional duties as assigned.

⛳️ Requirements

• Approximately 3–5 years of experience in analytics, business intelligence, data analysis, data engineering-related roles, operations analytics, or a similar field; equivalent demonstrated expertise will also be taken into account.

• Proficient SQL skills, including complex joins, CTEs, window functions, subqueries, performance-oriented query design, and validation logic.

• Experience in constructing dashboards, reports, or self-service analytics tools for business users.

• Experience in translating business inquiries into analytical specifications and technical deliverables.

• Solid understanding of data modeling principles, including facts, dimensions, granularity, metric definitions, and reusable transformation logic.

• Ability to manage projects autonomously while ensuring stakeholder alignment.

• Strong communication abilities with both technical and non-technical audiences.

• Excellent problem-solving aptitude and a proactive, solution-oriented approach.

• Capability to excel in a fast-paced, high-growth environment with competing priorities.

🏝️ Benefits

• Company-sponsored health, dental, life, and disability insurance

• 401(k) plan with employer matching

• Opportunities for professional growth and development

• Work-from-home allowance and support

• Positive workplace culture

• Flexibility to work remotely, in a hybrid model, or in-office as applicable