PatientPoint

The patient engagement platform more providers trust.

Senior Data Analyst

Full TimeRemoteTeam 501-1,000H1B SponsorCompany SiteLinkedIn

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

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