Senior QA Engineer

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Company: Paradigm Senior Services

Location: Miami, FL 33186

Description:

Location
North Miami, Florida (On-site, Monday-Friday)

Who We Are

At Paradigm, we're revolutionizing home care through innovative technology. As the fastest-growing tech company in this sector, we empower home care agencies with cutting-edge solutions in billing automation, growth education, authorization management, and beyond. We believe that by streamlining agency operations with third-party payers like the Department of Veterans Affairs and Medicaid, we ultimately enhance the quality of care for seniors, veterans, and underserved communities.

We foster a dynamic and collaborative work environment where new ideas are welcome, and creativity thrives. Joining our team means becoming part of a supportive community that values continuous learning and excellence. We're on a mission to revolutionize home care and are looking for passionate individuals to help us make a lasting, positive impact.

Position Snapshot

As a Senior Data Analyst, you will be responsible for analyzing complex datasets, developing insights, and supporting data-driven decision-making across the organization. This role requires an individual with an expertise in Business Intelligence (BI) and data lakes built on Snowflake. The ideal candidate has a strong background in data modeling, visualization, and reporting, with proficiency in SQL and BI tools. This position reports to the Chief Product Officer.

Core Responsibilities
  • Analyze large and complex datasets stored in Snowflake (or similar) and other data sources to support business objectives
  • Collaborate with engineers and stakeholders to define data models and metrics as part of the structured and unstructured data solution
  • Optimize SQL queries and ensure data quality, consistency, and governance across the data lake
  • Identify trends, patterns, and insights to drive data-driven decision-making
  • Work closely with cross-functional teams to understand business requirements and translate them into analytical solutions
  • Automate data processes, report generation, and ETL workflows where necessary
  • Maintain documentation for BI reports, data pipelines, and dashboards
  • Help maintain and supervise BI dashboards and reports in Power BI


Experience and Skills

  • Minimum 5 years of experience in data analysis, business intelligence, or a related field
  • Strong expertise in SQL and experience working with Snowflake or other cloud-based data warehouses
  • Knowledge of data governance, security, and compliance best practices
  • Hands-on experience with BI tools such as Power BI or similar
  • Familiarity with cloud platforms, preferably Azure
  • Understanding of data lake architectures and best practices for data storage, retrieval, and processing
  • Experience in data modeling, ETL processes, and data pipeline management
  • Ability to analyze and interpret large datasets to generate actionable insights
  • Strong problem-solving skills and ability to work with complex datasets across multiple sources
  • Excellent communication skills with the ability to present technical concepts to non-technical stakeholders
  • Ability to thrive in a fast-paced, data-driven environment


Education and Qualifications
  • Bachelor's degree Data Science, Computer Science, Business Administration, or other related field


What We Offer

  • Medical, dental, and vision benefits
  • 401k retirement plan
  • Aflac benefits
  • Paid time off
  • Professional development support


Compensation

$90,000-$110,000 depending on experience

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