PatientPoint
The patient engagement platform more providers trust.
Senior Data Analyst
Location
United States
Posted
25 days ago
Salary
$73.5K - $136.1K / year
Bachelor Degree5 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformPythonSQLTableau
Job Description
• Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
• Communicate findings effectively to stakeholders primarily using Looker.
• Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis.
• Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively.
• Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources.
• Utilize advanced statistical techniques and leverage machine learning models to solve business challenges.
• Collaborate with IT, engineering, product, and business stakeholders to optimize data collection processes.
• Mentor and guide junior analysts, fostering a data-driven culture within the organization.
• Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence.
• Quickly familiarize yourself with new datasets and efficiently provide valuable insights.
Job Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field
- 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 programming languages such as Python (preferred) or R for data analysis and automation
- Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure)
- Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders.
Benefits
- Competitive pay
- Flexible time off
- Hybrid work options
- Mental and emotional wellness resources
- 401(k) plan
- Comprehensive range of modernized benefits and cultural perks