Senior Business Data Analyst, Business Analytics

Grow Therapy•New York, NY

8h•Hybrid

About The Position

Grow Therapy is seeking a Senior Business Data Analyst, Business Analytics to play a critical role in enabling data-driven decision-making across the organization. You will partner with business leaders to scope, design, and build the appropriate analytical tools and metrics to answer strategic and operational questions. This will include defining and operationalizing key performance indicators (KPIs), uncovering insights through rigorous analysis, developing scalable dashboards and reporting frameworks, and ultimately translating data into business value. Success in this role is measured by the impact of insights on strategic and operational decisions, clarity of metrics delivered, and measurable improvements in business outcomes such as growth, efficiency, and customer satisfaction.

Requirements

3+ years of experience in BI or data analytics at a high-growth tech startup.
Able to identify business challenges based on metrics and analyses, and ready to recommend solutions to improve business processes.
Balance analysis with decisive execution to avoid “analysis paralysis.”
Expert-level SQL skills.
Familiar with tools like Snowflake, DBT, Looker, Hex, and Retool.
Spend most of your day building critical analyses and data visualizations to elicit data-driven insights.
Use metrics and analyses to uncover insights, validate hypotheses, and guide operational decisions.
Able to dive deep to understand the full scope of data, including edge cases.
AI tools are part of how you naturally work day-to-day.
Default to using AI to speed up querying, drafting, and synthesis, and know when to lean on it versus when deeper manual analysis is warranted.
Stay current on new tools and techniques and bring that thinking back to how the team works.
Adept at translating complex analytical concepts to non-technical stakeholders.
Comfortable presenting to executives, business leaders, engineers, PMs, and peers.
Expert at crafting compelling data stories through visualizations.
Thrive in a fast-paced, unpredictable environment, and able to pivot as new priorities emerge.
Skilled at managing multiple stakeholders, projects, and timelines efficiently.
Collaborative by nature, relish in camaraderie and group wins, and are looked to by your colleagues as a steadfast partner and source of encouragement.

Nice To Haves

Experience solving data problems in a healthcare-related field (e.g., RCM, provider operations, value-based care, health tech SaaS).

Responsibilities

Elicit and synthesize data-driven insights into clear narratives and recommendations that influence decision-making, including recurring business reviews, strategic planning sessions, and ad hoc deep dives.
Enable business leaders to make data-driven decisions by translating their business needs into the appropriate analytical tools and metrics to answer strategic and operational questions such as identifying growth levers, diagnosing performance gaps, or evaluating initiative impact.
Scope, design, build, and maintain dashboards, reporting tools, and data models to enable self-service access to key metrics and ensure data accuracy, consistency, and accessibility across teams.
Use AI tools to accelerate your workflow and increase the quality of your output via querying, modeling, and synthesizing findings. You validate AI-assisted work rather than taking it at face value, and you build with scalability in mind so your solutions hold up as reliable, reusable processes.