Business Intelligence Analyst - $45. .12 per hour
About the Role
This opportunity is for a Business Intelligence Analyst who will work with cross-functional teams to uncover data insights that support better decision-making in the healthcare space.
The role combines business analysis, SQL, Python, exploratory data analysis, client-facing reporting, and collaboration with product, analytics, client success, and sales stakeholders.
This position is well suited for someone who enjoys working with large datasets, building reusable analytical tools, creating clear client-facing insights, and communicating data findings to both technical and non-technical audiences.
What You’ll Do
• Work closely with Product, Strategic Analytics, Client Success, and Sales teams to create client-facing analyses.
• Use data to identify insights that can support healthcare-related business decisions.
• Create data products from scratch and automate code so analytical work can be reused by other teammates.
• Leverage large healthcare datasets to identify and classify behavioral patterns among medical professionals.
• Continue improving both technical and non-technical skill sets.
• Collaborate with analysts, engineers, and commercial stakeholders within cross-functional delivery teams.
• Grow toward a presentation-focused role or take on deeper technical analytical challenges, depending on strengths and career goals.
Core Team Values
• Collaboration:
Support teammates’ growth while contributing strong individual skills.
• Passion for Data:
Work with large-scale datasets and ask the right questions to uncover meaningful insights.
• Reliability:
Operate as a dependable, self-driven contributor who delivers accurate and timely results.
• Curiosity:
Go beyond assigned tasks to explore deeper insights and continuously learn.
• Respect:
Maintain high standards for work quality while respecting teammates and stakeholders working under business deadlines.
• Diversity of Perspective:
Contribute to an inclusive environment that values different backgrounds and experiences.
Required Qualifications
• At least 3 years of experience demonstrating collaboration, reliability, curiosity, respect, and strong data-driven thinking.
• Excellent SQL skills, including the ability to create and evaluate complex SQL statements involving multiple tables and complex relationships.
• Fluency in Python for exploratory data analysis.
• Experience using common Python modules such as numpy, pandas, statsmodels, and matplotlib.
• Experience collaborating with non-technical stakeholders.
• Ability to translate data into clear business insights.
Preferred Qualifications
• Working knowledge of statistics and data visualization.
• Experience with data visualization tools such as Looker.
• Advanced Excel skills.
• Experience using AI coding assistants and building AI-supported workflows.
• Experience working in the healthcare industry.
• Experience presenting data to non-technical audiences.
Team Environment
• Work with one of the richest healthcare datasets available, including deep information on hundreds of thousands of clinicians and professional connections.
• Contribute to a data-driven environment where business decisions are guided by analysis, insights, and reporting.
• Work with team members from diverse technical and cultural backgrounds.
• Participate in a collaborative culture that may include company outings, team lunches, and other social events.
Benefits and Perks
• Medical, dental, and vision coverage for employees and eligible family members.
• 401(k) plan with matching program.
• Employee stock purchase plan.
• Family planning support.
• Childcare FSA.
• Parental leave.
• Life, AD&D, and disability coverage.
• Generous time off, holidays, and paid company trips.
• Wellness benefits and additional employee perks.
This opportunity is for a Business Intelligence Analyst who will work with cross-functional teams to uncover data insights that support better decision-making in the healthcare space.
The role combines business analysis, SQL, Python, exploratory data analysis, client-facing reporting, and collaboration with product, analytics, client success, and sales stakeholders.
This position is well suited for someone who enjoys working with large datasets, building reusable analytical tools, creating clear client-facing insights, and communicating data findings to both technical and non-technical audiences.
What You’ll Do
• Work closely with Product, Strategic Analytics, Client Success, and Sales teams to create client-facing analyses.
• Use data to identify insights that can support healthcare-related business decisions.
• Create data products from scratch and automate code so analytical work can be reused by other teammates.
• Leverage large healthcare datasets to identify and classify behavioral patterns among medical professionals.
• Continue improving both technical and non-technical skill sets.
• Collaborate with analysts, engineers, and commercial stakeholders within cross-functional delivery teams.
• Grow toward a presentation-focused role or take on deeper technical analytical challenges, depending on strengths and career goals.
Core Team Values
• Collaboration:
Support teammates’ growth while contributing strong individual skills.
• Passion for Data:
Work with large-scale datasets and ask the right questions to uncover meaningful insights.
• Reliability:
Operate as a dependable, self-driven contributor who delivers accurate and timely results.
• Curiosity:
Go beyond assigned tasks to explore deeper insights and continuously learn.
• Respect:
Maintain high standards for work quality while respecting teammates and stakeholders working under business deadlines.
• Diversity of Perspective:
Contribute to an inclusive environment that values different backgrounds and experiences.
Required Qualifications
• At least 3 years of experience demonstrating collaboration, reliability, curiosity, respect, and strong data-driven thinking.
• Excellent SQL skills, including the ability to create and evaluate complex SQL statements involving multiple tables and complex relationships.
• Fluency in Python for exploratory data analysis.
• Experience using common Python modules such as numpy, pandas, statsmodels, and matplotlib.
• Experience collaborating with non-technical stakeholders.
• Ability to translate data into clear business insights.
Preferred Qualifications
• Working knowledge of statistics and data visualization.
• Experience with data visualization tools such as Looker.
• Advanced Excel skills.
• Experience using AI coding assistants and building AI-supported workflows.
• Experience working in the healthcare industry.
• Experience presenting data to non-technical audiences.
Team Environment
• Work with one of the richest healthcare datasets available, including deep information on hundreds of thousands of clinicians and professional connections.
• Contribute to a data-driven environment where business decisions are guided by analysis, insights, and reporting.
• Work with team members from diverse technical and cultural backgrounds.
• Participate in a collaborative culture that may include company outings, team lunches, and other social events.
Benefits and Perks
• Medical, dental, and vision coverage for employees and eligible family members.
• 401(k) plan with matching program.
• Employee stock purchase plan.
• Family planning support.
• Childcare FSA.
• Parental leave.
• Life, AD&D, and disability coverage.
• Generous time off, holidays, and paid company trips.
• Wellness benefits and additional employee perks.