Staff Data Analyst

Remote

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Biotechnology, Value-based CareIndustries

Requirements

Candidates must have 8+ years of experience delivering analytics across the data pipeline, including modeling and stakeholder engagement. Expert-level SQL and Python skills for data manipulation, analysis, and modeling are required. Proven success in turning business needs into end-to-end data solutions, ideally with Snowflake and dbt, is essential. A strong track record of collaborating with non-technical stakeholders, including executives, to communicate insights clearly and persuasively is necessary. Experience utilizing rigorous statistical methods, including regression modeling and hypothesis testing, to quantify business impact and drive key decisions is required. A Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics is mandatory. Familiarity with AWS cloud architectures and modern data stack tools, along with experience in healthcare, insurance, or other data-rich, regulated industries, are nice-to-haves.

Responsibilities

The Staff Data Analyst will partner with Product, Engineering, Customer Success, and other teams to translate business challenges into actionable analytical solutions. They will build and maintain data assets, dashboards, and reports that deliver insights and unlock decision-making. Responsibilities include collaborating with Data Engineering to design and build data marts and pipelines in Snowflake & dbt, and translating complex business challenges into analytical frameworks leveraging statistical modeling to provide actionable recommendations and influence key decisions. The role involves managing a prioritized backlog of requests, balancing competing stakeholder needs with business impact, and contributing to the company’s analytics strategy and roadmap. Additionally, the analyst will mentor other analysts, sharing best practices, and help establish standards and workflows for data analysis, reporting, and dashboard development.

Skills

Data Analysis

Data Modeling

Snowflake

dbt

Statistical Modeling

Regression Analysis

Dashboarding

Reporting

SQL

Python

Pearl Health

Healthcare technology platform for providers

About Pearl Health

Pearl Health provides a platform designed to improve the efficiency and effectiveness of healthcare providers, including doctors and practice managers. The platform automates routine tasks, allowing providers to spend more time on patient care. It offers tools for tracking patient data and managing care teams, which helps providers gain transparency and credit for their work. Additionally, Pearl Health supports value-based care by enabling providers to monitor their performance through numerical data and graphs, helping them understand patient outcomes better. The platform also identifies at-risk patients, allowing for timely interventions. Pearl Health differentiates itself by focusing on technology that enhances care delivery and patient outcomes, while maintaining high customer satisfaction and retention. The company's goal is to empower healthcare providers to deliver better care through effective data management and support.

New York City, New YorkHeadquarters

2020Year Founded

$73MTotal Funding

DEBTCompany Stage

Enterprise Software, HealthcareIndustries

51-200Employees