Lead Data Analyst

Job not on LinkedIn

4 days ago

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Logo of Parachute Health

Parachute Health

SaaS • B2B • Compliance

Parachute Health is a healthcare technology company that provides a SaaS platform for digitizing and streamlining Durable Medical Equipment (DME) ordering and ePrescribing. Its platform connects clinicians, DME/HME suppliers, and payors to accelerate order entry, automate intake (including AI-based fax digitization), integrate with EHRs and ERPs, and improve order accuracy and compliance. Parachute emphasizes security and regulatory compliance (HIPAA, SOC 1/2, HITRUST) while serving B2B healthcare customers across the care continuum.

201 - 500 employees

Founded 2015

☁️ SaaS

🤝 B2B

📋 Compliance

📋 Description

• Lead complex, cross-functional analyses that directly inform strategic business decisions and product direction. • Own end-to-end analytical projects from problem definition through insight delivery and impact measurement. • Design and implement analytical frameworks, metrics, and dashboards that enable self-service insights across the organization. • Define and enforce standards for analytical rigor, documentation, and best practices. • Translate ambiguous business questions into structured analytical approaches with clear methodologies. • Lead high-complexity initiatives spanning multiple teams and business domains. • Set project direction, ensure timely delivery, and maintain high-quality analytical standards. • Translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences. • Mentor data analysts on analytical techniques, business acumen, and career growth. • Partner with leadership to identify opportunities where data can drive efficiency, growth, and business impact. • Facilitate alignment across stakeholders by integrating analytical insights with business context. • Champion a culture of experimentation, measurement, and data-driven decision-making. • Foster knowledge sharing, continuous feedback, and cross-team collaboration.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience. • 7+ years in data analysis, business intelligence, or related analytical roles delivering high-impact insights. • 1+ years in senior-level roles with leadership and cross-functional responsibilities. • Experience working with modern data stacks and cloud data warehouses (BigQuery, Snowflake, Redshift, or similar). • Expert in SQL and data analysis with strong proficiency in Python for statistical analysis. • Advanced experience with Looker or similar BI tools (LookML, dashboard development, visualization best practices). • Knowledge of statistical methods, A/B testing, experimentation design, and causal inference. • Experience with data modeling concepts and collaborating with analytics engineers on data infrastructure. • Familiarity with predictive modeling, machine learning concepts, or advanced analytics is a plus. • Proven ability to lead analytical initiatives and mentor team members. • Strong problem-solving skills with ability to structure ambiguous problems and design analytical approaches. • Exceptional communication skills translating complex analyses into compelling narratives for diverse audiences. • Comfortable navigating ambiguity and driving decisions in fast-paced environments. • Experience influencing senior stakeholders and driving business strategy through data insights.

🏖️ Benefits

• Medical, Dental, and Vision Coverage • 401(k) Retirement Plan • Remote-First Company with the option to work at our New York City office • Equity Incentive Plan • Annual Company-Wide Bonus (up to 15%) • Flexible Vacation Policy • Summer Fridays - 5 Fridays Off During Summer (Separate From PTO) • Monthly Internet Stipend • Annual Home Office Stipend • Co-Working Space Reimbursement • Annual stipend for education and development

Apply Now

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