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Entyre Care

Entyre Care is hiring: Data Analyst in Boston

Entyre Care, Boston, MA, US, 02298

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Location: Boston, MA (Full-Time, Hybrid, 4 days a week in the office)
Reports to: Chief Operations Officer (COO)

Entyre Care

Our Mission

Serve Families. Our Method: Relentless Speed.
Entyre Care radically supports family caregivers with financial, emotional, and expert resources. We operate with urgency, focus, and a commitment to delivering "insanely great" outcomes for families.

Your Responsibilities
  • Develop and optimize SQL queries in Databricks for daily reports and forecasts
  • Analyze operational data to identify trends, bottlenecks, and potential improvements
  • Automate data processes using Python
  • Work closely with the stakeholders
  • Continuously improve service and process quality through data-driven transparency and a focus on what truly matters
How We Operate - Non-Negotiable
  • "Insanely Great" for Families - Delivered Now:
    Relentlessly solve caregiver needs with excellence and speed.
  • Speed is King - Ruthless Focus:
    Eliminate distractions and execute on critical objectives with urgency.
  • Raise the Bar:
    Demand A-player performance and continuous improvement from yourself and your team.
  • The Speed Algorithm:
    Question, delete, simplify, and accelerate every process. Remove bottlenecks and friction.
  • Act Like Owners - Bold Bets, Fast Action:
    Take initiative, make bold decisions, and move fast to drive results for families.
The Bottom Line

This is a high-impact, operational leadership role at the heart of a mission-driven company. If you are energized by building and optimizing finance operations at speed-and want to make a difference for millions of families-join us at Entyre Care.
  • Strong knowledge of SQL and experience with Databricks SQL or similar platforms
  • Solid Python skills, especially for data analysis and automation
  • Basic understanding of relational databases and handling of structured data
  • Initial experience with data (through work, studies, or projects) - motivated career starters are welcome
  • Ideally, experience with time series, forecasting, or KPI tracking