Senior Analytics Engineer

April 30

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Spring Health

Precise. Personal. Proven. The most comprehensive mental health care for teams and families everywhere.

Healthcare • Artificial Intelligence • Mental Illness • Treatment Selection • Benefits

501 - 1000

Description

• Work with the SBU team to understand data sources, landscape, and needs • Develop vision and roadmap for team's data infrastructure • Collaborate with BI and data engineering teams to build data mart tables • Partner with SBU to build dashboards for understanding and optimization • Monitor data integrity within tools built • Prioritize inbound requests and collaborate to craft and measure KPIs

Requirements

• 5+ years of working experience with data, data visualization, and dashboarding tools • Strong user empathy and ability to understand stakeholders' core issues • Expert in SQL and experience with ELT/ETL processes • Experience with Looker or similar data visualization tools • Focus on impact and stakeholder value • Exceptional communication skills and ability to work with executive team members • Proven ability to manage priorities and dependencies • Passion for navigating ambiguous problem areas and learning

Benefits

• Health, Dental, Vision benefits starting on the first day • HSA and FSA plans available • Yearly allotment of visits to therapists, coaches, and medication providers • 10 allocated sick days per year • Flexible paid time off and 12 paid holidays • Access to on-demand virtual benefit for wellbeing coaching • Fully paid sabbatical leave after four years • 4-4.5 months of fully paid parental leave • Sponsored access to child care and elder care • Fertility care support and reimbursement • 401(k) match, incentive pay, and equity • Professional Development Reimbursement • Donation matching to support causes

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