Sr. Data Analyst

PatientPoint

2d•Remote

About The Position

PatientPoint is seeking a Senior Data Analyst to drive data-informed decision-making across the organization. The role analyzes complex datasets and turns them into useful insights to help optimize business strategies, improve processes, and enhance performance. The analyst works with cross-functional stakeholders and communicates findings primarily through Looker, emphasizing automated rather than manually created information. The position is remote and requires travel 4–5 times a year.

Requirements

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
At least 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 such as Looker, Tableau, or Power BI.
Strong understanding of data modeling, statistical analysis, and data visualization.
Proficiency in Python or R for data analysis and automation; Python is preferred.
Experience with cloud-based data platforms such as Snowflake, GCP, AWS, or Azure.
Excellent communication and presentation skills, including the ability to explain complex data concepts to non-technical stakeholders.
Ability to translate analytical concepts and communicate insights through data storytelling to varied audiences, including non-technical business partners.
Strong problem-solving skills and a results-driven approach.
Excellent time management skills and keen attention to detail.

Nice To Haves

Master’s degree preferred.

Responsibilities

Analyze large and complex datasets to identify trends, patterns, and insights that inform business decisions.
Communicate findings to stakeholders, primarily using Looker, and ensure information is automated rather than manually created.
Work with business leaders to understand objectives and provide actionable recommendations based on data analysis.
Move beyond descriptive reporting to proactively identify opportunities for organizational improvement.
Design and implement data models and ensure data integrity, accuracy, and consistency across multiple sources.
Apply advanced statistical techniques and machine learning models to business challenges.
Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes.
Mentor and guide junior analysts and foster a data-driven culture.
Stay current with industry trends, emerging technologies, and best practices in analytics and business intelligence.
Familiarize yourself with new datasets quickly and provide valuable insights efficiently.