Business Analytics Manager

EvolutionIQ • New York, NY

14h • $220 - $240

About The Position

EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026!
Your Role & Impact: As the Business Analytics Manager on the Data Science & Insights (DSI) team, you will lead a dedicated team of analysts focused on the most critical part of our business: our clients. You will bridge the gap between our advanced Data Science capabilities and the actionable insights our clients need to succeed. Your mission is to scale our reporting infrastructure, automate the "heavy lifting" of client reviews, and deliver bespoke analytical solutions that drive client retention and growth. In addition to managing analysis, you are shaping how the business understands performance, evaluates opportunities, and makes decisions with those insights. The quality of your team’s insights will directly influence what gets prioritized. This role reports to the VP of Data Science and Analytics.

Requirements

• 6+ years in analytics, with at least 2 years in a leadership or project-lead capacity.
• Strategic Mindset: You don't just pull data; you understand the "why" behind the business and how to make data tell a story.
• Technical Proficiency: Strong command of SQL and visualization tools (e.g., Tableau, PowerBI, or Looker). Experience with Python or R is a plus, given the reporting line into Data Science.
• Operational Excellence: A proven track record of automating repetitive tasks and scaling reporting workflows.
• Communication: The ability to explain complex data concepts to non-technical stakeholders and clients with clarity and wit.

Responsibilities

• Team Leadership: Manage and mentor a team of Business Analysts, fostering a culture of technical excellence, curiosity, and client-centricity.
• Scale Client Reporting: Transition from manual, ad-hoc reporting to a scalable, automated architecture. You will own the roadmap for our client-facing data products.
• Quarterly Business Review (QBR) Innovation: Design and build self-service tools and standardized templates that allow Account Managers to generate high-impact QBRs with minimal manual effort.
• Custom Insights: Act as the lead consultant for high-value custom analytics requests, translating complex business questions into structured analytical projects.
• Cross-Functional Collaboration: Partner closely with Sales, Customer Success, and the broader Data Science team to ensure data integrity and alignment on key performance indicators.

Benefits

• Compensation: The base salary range is $220-240K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
• Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
• Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
• Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
• Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
• Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed