Data Analyst

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About NationsBenefits:

NationsBenefits is recognized as one of the fastest-growing companies in America and a leading Healthcare Fintech provider. We specialize in supplemental benefits, flex cards, and member engagement solutions. Partnering with managed care organizations, we offer innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and deliver value to members.

Through our comprehensive suite of supplemental benefits, fintech payment platforms, and member engagement solutions, we enable health plans to provide high-quality benefits that address social determinants of health, ultimately improving member health outcomes and satisfaction.

We offer a dynamic and fulfilling work environment that attracts top talent, where associates are encouraged to contribute to delivering premier service to both internal and external customers. Our goal is to transform the healthcare industry for the better! We provide opportunities for career advancement across multiple locations in the US, South America, and India.

Position Overview:

DBT, Airflow, SQL, Python, Reporting Tools, Automation,

Key Responsibilities:

• 3 to 6 years of hands-on experience using

  DBT, Airflow, Python,

Reporting Tools and SQL

Automation First Mindset.

• Hands-on experience with Data Collection, Data Analysis, Data modeling, Data validation, Data Presentation using DBT, Airflow, SQL, Python, Reporting Tools (

  Tableau

  )
• Data Modeling: Create and maintain data models, data dictionaries, and documentation to support efficient data analysis and reporting.
• Performance Optimization and Automation: Continuously monitor and optimize reporting solutions and Automate Current Reporting for efficiency. Debugging DAG failures and fixing them.
• Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and stakeholders, to understand their data needs and deliver solutions.
• Data Quality Assurance: Implement data validation and cleansing processes to ensure data accuracy, consistency, and reliability.  Automation: Automate existing Manually generated reports using tech stack.
• Ad hoc Data Analysis and Reporting/Dashboard Development: Perform exploration data analysis, develop data visualizations, and generate actionable insights to support business decisionmaking.
• Stay Current: Stay up to date with emerging trends and technologies in data engineering and analytics, and make recommendations for their adoption.

Requirements:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Minimum 3+ years of hands-on experience using DBT. Airflow, SQL, Python, Automation
• Expertise in building Automated Data Reports and Dashboards using SQL, Python, Reporting Tools
• Strong Debugging and Automation skills
• Strong understanding of DWH/Data Lake concepts and methodologies.
• Experience with cloud platforms such as

  Azure, AWS or GCP

• Excellent communication, Presentation and interpersonal skills
• Excellent problem-solving skills and attention to detail
• Knowledge of data quality, data Validation, data security and compliance standards is a plus.