Senior Data Analyst (Remote)

About the Role

Key Responsibilities

• Engages in data exploration using various programming languages, requiring advanced knowledge of multiple database structures.
• Collects, analyzes, and interprets data to glean insights and develop business appropriate recommendations.
• Researches and analyzes data flow across complex data ecosystems including operational and analytical data platforms.
• Serves as an expert resource supporting data questions and issues from stakeholders and driving to resolution.
• Leads in the design, development, validation, and delivery of data to provide insight into business decisions.
• Manages the collection of business and technical requirements from stakeholders to deliver data-driven solutions.
• Produces technical documentation that is consistent with professional standards.
• Acts as a resource and mentor to junior staff, guiding and mentoring less experienced team members.

Requirements

• Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business, or a related field, or an additional 4 years of relevant work experience in lieu of a degree.
• At least 5 years of experience in an analytical or quantitative role.
• Proficiency in SQL for data extraction, transformation, and complex joins.
• Experience with Power BI, including building dashboards using Power BI Report Builder and Desktop.
• Experience with Microsoft Fabric (dataflows, lakehouses, semantic models).
• Intermediate-to-advanced Python skills (pandas, numpy, matplotlib/seaborn) for data wrangling and analysis.
• Experience conducting diagnostic and exploratory data analysis (EDA).
• Ability to apply analytical techniques such as segmentation, regression, and time-series analysis.
• Strong communication skills, both written and verbal.
• Knowledge of analytical tools, languages, applications, and platforms.
• Ability to learn quickly, meet deadlines, and handle multiple demands.

Nice to Have

• Experience in the Healthcare Industry.
• Hands-on experience with Big Data/NoSQL Platforms and delivering production projects at scale.
• Familiarity with Git, dbt, or other version-controlled data development workflows.
• Masters degree in a quantitative field such as Business Analytics, Statistics, or Data Science.

Qualifications

• Bachelor's Degree in a relevant field or equivalent work experience.
• Minimum of 5 years' experience in an analytical/quantitative role.

Benefits & Perks

• Competitive salary range of $85,032 - $168,883.
• Comprehensive benefits package.
• Various incentive programs and 401k contribution plans.