Data Analyst (Remote)

Piper Companies is seeking a Data Analyst to support a digital transformation team focused on improving patient‑provider experiences through remote work. This position is ideal for someone who enjoys working with complex datasets, collaborating with product and clinical stakeholders, and translating data into insights that guide operational and business decisions.

Responsibilities of the Data Analyst:

• Analyze, clean, and model large datasets from enterprise sources to develop reliable, repeatable reporting that supports product and operational decision‑making.

• Build effective dashboards and visualizations in Power BI to track product KPIs, communicate performance trends, and translate quantitative findings for non‑technical stakeholders.

• Define, maintain, and monitor key performance metrics for digital products, partnering with product, clinical, and operational teams to ensure alignment with business objectives.

• Support ad‑hoc analysis needs, bringing together data from multiple systems to answer business questions and provide actionable insights.

Qualifications of the Data Analyst:

• 3+ years of professional experience working with relational databases and large datasets.

• Strong proficiency in SQL, Python/Pandas, and data modeling tools (e.g., Databricks).

• Hands‑on experience with Power BI, including dashboard development and DAX.

• Familiarity with version control tools such as GitHub or Azure DevOps.

• Bachelor’s degree in computer science, mathematics, statistics, or related field.

Compensation of the Data Analyst:

• Salary Range: $105,000 - $115,000 (based on experience)

• Comprehensive benefit package; Cigna Medical, Cigna Dental, Vision, 401k w/ ADP, PTO, paid holidays, Sick Leave as required by law

This job opens for applications on February 20, 2026. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords: Data Analyst, Digital Analyst, Product Analyst, Business Intelligence Analyst, Healthcare Data Analyst, Analytics Specialist, Reporting Analyst, SQL, SQL Server, Python, Python Pandas, Pandas, Databricks, Data Modeling, ETL, Data Cleaning, Data Preparation, Data Warehousing, Relational Databases, Enterprise Data Warehouse, Power BI, DAX, Data Visualization, Dashboard Development, Git, GitHub, Azure DevOps, Version Control, Excel, Advanced Excel, KPI Tracking, Performance Metrics, Product Metrics, Operational Metrics, Digital Product Analytics, Business Intelligence, Data‑Driven Decision Making, Insights and Reporting, Ad‑hoc Analysis, Stakeholder Reporting, Product Optimization, Operational Improvement, Cross‑Functional Collaboration, Data Storytelling, Requirements Gathering, Analytical Thinking, Problem Solving, Healthcare Analytics, Digital Health, Clinical Operations Data, Patient Experience Analytics, Operational Efficiency.

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