Lead Data Analyst

Parachute Health-posted 2 months ago

$120,000 - $200,000/Yr

Full-time • Senior

New York, NY

101-250 employees

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The Lead Data Analyst drives data-driven decision-making across the organization by delivering actionable insights that shape business strategy. This role combines deep analytical expertise with leadership responsibilities by leading high-impact analyses, mentoring the analytics team, and partnering with stakeholders to solve complex business problems.

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.

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.

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

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