Remote Data Analyst — New Jersey
EXL
Analyze data to support business analysis functions in this full-time remote role, available to candidates working from New Jersey, United States.
Open
PatientPoint is a healthcare communications company that helps providers and life sciences organizations share relevant health information with patients during visits. Its platform uses digital devices placed across a nationwide network of physician offices to support patient education, strengthen conversations between patients and clinicians, and encourage preventive care. PatientPoint also works with industry experts and strategic partners to shape engagement programs around healthcare needs and improve the patient experience.
Senior Data Analyst, Remote (US) at PatientPoint
Turn healthcare network data into practical business insights as a Senior Data Analyst. Build models and visualizations for PatientPoint’s digital health platform.
Description
- Analyze complex datasets to surface trends and insights that inform business decisions.
- Present findings to stakeholders, primarily through Looker, and automate reporting instead of relying on manual updates.
- Partner with business leaders to understand their goals and recommend actions grounded in data analysis.
- Move beyond descriptive reports on metrics and outcomes to use data proactively to identify opportunities for organizational improvement.
- Build and maintain data models that preserve accuracy, integrity, and consistency across multiple sources.
- Apply advanced statistical methods and machine learning models to address business challenges.
- Work with IT, engineering, product, and business teams to improve data collection and pipeline processes.
- Coach junior analysts and help strengthen a data-informed culture across the organization.
- Keep current with developments in analytics, business intelligence, and related technologies and practices.
- Get up to speed on unfamiliar datasets quickly and deliver useful insights.
Requirements
- Bachelor’s degree in data science, statistics, mathematics, computer science, business analytics, or a related quantitative discipline.
- At least five years of experience in analytics, data management, business intelligence, or a related area.
- Proficiency in SQL for querying and managing large datasets.
- Experience with data visualization tools such as Looker, Tableau, or Power BI.
- Sound knowledge of data modeling, statistical analysis, and data visualization.
- Proficiency in Python, preferred, or R for data analysis and automation.
- Experience with cloud data platforms such as Snowflake, Google Cloud Platform, AWS, or Azure.
- Strong communication and presentation abilities.
- Ability to explain analytical concepts clearly and tell compelling stories with data.
- Strong problem-solving ability and a results-focused approach.
- Excellent time management and close attention to detail.
Benefits
- Competitive compensation.
- Flexible time off for rest and renewal.
- Hybrid work options.
- Resources for mental and emotional wellness.
- 401(k) plan.
- A broad selection of modern benefits and cultural perks for full-time team members.
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