Sr. Data Analyst

Remote; San Francisco (CA); Remote; USD 74,000 - 136,000; Full time

Job summary

PatientPoint is seeking a Senior Data Analyst to drive data-driven decision-making across the organization. You will transform large datasets into meaningful insights and collaborate with cross-functional teams to optimize business strategies and performance.

The role emphasizes proficiency in Looker, SQL, Python, and cloud platforms, with opportunities to mentor analysts and shape data culture in a remote setting.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or related quantitative field.
• 5+ years of experience in analytics, data management, BI or related field.
• Proficiency in SQL for querying and managing large datasets.
• Experience with data visualization tools, preferably Looker.
• Strong understanding of data modeling, statistical analysis and data visualization.
• Proficiency in Python (preferred) or R for data analysis and automation.
• Experience with cloud-based data platforms (Snowflake, GCP, AWS, Azure).

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
• Communicate findings effectively to stakeholders primarily using Looker to ensure automation.
• Collaborate with business leaders to understand objectives and provide actionable recommendations.
• Evolve from descriptive reports to proactive data insights across the organization.
• Design and implement data models, ensuring data integrity across sources.
• Utilize advanced statistics and ML models to solve business challenges.
• Collaborate with IT, engineering, product, and business stakeholders to optimize data pipelines.
• Mentor and guide junior analysts to foster a data-driven culture.
• Stay updated with industry trends and best practices in analytics and BI.
• Familiarize with new datasets quickly to provide valuable insights.

Skills

SQL

Looker

Python

Data visualization

Data modeling

Statistics

Cloud platforms

Education

BSc in quantitative field

Master's degree preferred

Tools

Looker

Snowflake

GCP

AWS

Azure

Job description

Join PatientPoint to be part of a dynamic team creating change in and around the doctor's office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Remote

Travel Required: 4-5 times a year

Job Summary:

We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making across the organization. The ideal candidate will have a strong analytical mindset, expertise in data visualization, and the ability to transform complex data sets into meaningful insights. As a Senior Data Analyst, you will collaborate with cross-functional teams to optimize business strategies, improve processes, and enhance overall performance through data analysis.

What You'll Do

• Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
• Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually.
• Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis.
• Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization.
• Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources.
• Utilize advanced statistical techniques and leverage machine learning models to solve business challenges.
• Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes.
• Mentor and guide junior analysts, fostering a data-driven culture within the organization.
• Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence.
• Quickly familiarize yourself with new datasets and efficiently provide valuable insights.

What We Need

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field
• 5+ years of experience in analytics, data management, business intelligence or a related field
• Proficiency in SQL for querying and managing large datasets.
• Experience with data visualization tools, preferably Looker
• Strong understanding of data modeling, statistical analysis and data visualization
• Proficiency in programming languages such as Python (preferred) or R for data analysis and automation.
• Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure)

Desired Qualifications

• Master's degree preferred

What You'll Need to Succeed

• Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders.
• Strong ability to translate analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners
• Strong problem-solving skills and a results-driven approach.
• Excellent time management skills and keen attention to detail.

Base Salary Band: $73,539 - $136,065

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint's total compensation package for employees. For additional details on our total benefits package, please review the section "About PatientPoint" at the end of this job description.