Founding Data Analyst

Counsel Health; United States; On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity

401K

Unlimited PTO

Healthcare (vision + dental)

Parental leave

Job summary

Counsel Health is hiring a Founding Data Analyst to build the data foundation powering growth. You will own data wrangling, pipelines, metrics, and reporting across Finance, GTM, Clinical Ops, and Operations.

You’ll partner with senior leaders, scale data ecosystems, and deliver dashboards and AI-enabled workflows to reduce manual work and increase speed.

Qualifications

• 3–5 years in data, analytics, or finance/ops role
• Executive presence to represent senior leaders cross-functionally
• Strong SQL and Python or similar language
• Genuine curiosity about AI tools and ability to cut manual work
• Bachelor's degree in a quantitative field with meaningful programming experience
• Experience with dbt, Airflow, Snowflake, or BigQuery
• Experience in healthcare or healthtech
• Track record of ramping quickly into new tools

Responsibilities

• Build and maintain the data foundation powering the company
• Support data needs across product, commercial, finance, and ops
• Develop operating scorecards and management dashboards
• Collaborate with Analytics Engineer to validate pipelines and metrics
• Turn messy datasets into actionable insights
• Develop AI-powered tools and workflows to speed FinOps

Skills

SQL

Python

AI tools

Executive presence

Data analytics

Tool ramping

Education

Bachelor's degree in quantitative field

Tools

dbt

Airflow

Snowflake

BigQuery

Job description

• We're hiring a Founding Data Analyst to join our FinOps team and build the data foundation that powers Counsel's growth
• This is an early-stage, high-impact founding role spanning data wrangling and pipeline development, defining and tracking core operating metrics, and improving reporting and operational workflows across the business
• You will work directly with our SVP, Finance & Operations and collaborate across Commercial/GTM, Finance, Clinical Ops, and Operations
• Instead of owning a small slice of the business, you will gain broad exposure and take on increasing responsibility as you help build and improve the systems that keep the company running and scaling
• This role will have executive level cross functional partnership and requires the ability to connect dots across stakeholders in various organizations
• Build and maintain the data foundation that will power the entire company
• Support the data needs of stakeholders across every function at the company. This will range from product metrics, commercial / client reporting, internal financial and operating metrics
• Build the Operating Scorecard and management dashboards so the entire team can have visibility on business performance and one source of truth
• Partner with Analytics Engineer to validate pipelines and metric definitions
• Turn messy datasets into answers people can act on
• Build and adopt AI-powered tools and workflows that make FinOps faster and efficient

Benefits

• Significant opportunities for broad ownership and professional development
• Equity
• 401K
• Unlimited PTO
• Comprehensive healthcare, vision + dental
• Parental leave

Comfort with data that's messy and real, the kind you dig into instead of flagging as someone else's problem. An inherent desire to be a truth seeker3-5 years in a data, analytics, or finance/ops roleExecutive presence to represent senior leaders in cross functional discussionsStrong SQL, and Python or a similar language to be dangerousGenuinely curious about AI tools, and quick to find ways they can cut manual work out of your own workflowBachelor's degree in a quantitative field (CS, statistics, applied math, or similar), with meaningful programming experienceExperience with dbt, Airflow, Snowflake, or BigQueryExperience in healthcare or healthtechA track record of ramping quickly into new tools, since many of ours are still being built