Business Insights Associate

Job Summary
We are looking for a talented Data Analyst with 1.5 to 2 years of experience in data analytics, ideally within the U.S. healthcare sector. The successful candidate will be adept at interpreting complex healthcare datasets to support operational, financial, and clinical decision-making processes. Expertise in AI-assisted analytics tools and a thorough understanding of healthcare data privacy and compliance standards are critical for this role. This is a full-time, onsite position with working hours from 6 PM to 3 AM PKST. The role offers a unique opportunity to collaborate across multiple departments, driving data-driven improvements in healthcare delivery.

Key Responsibilities
- Analyze both structured and unstructured healthcare data to uncover trends, patterns, and actionable insights that inform decision-making.
- Design and develop dashboards, reports, and key performance indicators (KPIs) using Power BI, Excel, and SQL-based tools to visualize data effectively.
- Leverage AI tools such as Power BI Copilot, ChatGPT, Azure AI, and Excel’s Analyze Data feature to automate data summarization, generate predictive insights, and enhance analytics workflows.
- Work closely with cross-functional teams including operations, clinical research, care management, and finance to provide data-driven support and insights.
- Monitor and evaluate performance metrics related to quality of care, cost efficiency, population health, and healthcare utilization.
- Assist in the development and validation of predictive models using historical healthcare data to support forecasting and risk assessment.
- Support the automation of routine data processing tasks through AI-enabled workflows or scripting, improving efficiency and accuracy.
- Ensure data accuracy, integrity, and compliance with HIPAA regulations and internal governance policies.
- Translate complex data analyses into clear, concise presentations and reports tailored for executive leadership and stakeholders.

Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Public Health, or a related discipline.
- 1.5 to 2 years of practical experience in data analytics, preferably within the U.S. healthcare industry.
- Strong proficiency in Excel, SQL, and Power BI, including advanced features such as DAX and Power Query.
- Familiarity with AI-assisted analytics tools like Power BI Copilot, Excel Analyze Data, ChatGPT, or other natural language processing (NLP) applications.
- Working knowledge of healthcare datasets, including claims data, EHR/EMR systems, HEDIS, ACO, STAR ratings, and Medicare Advantage programs.
- Solid understanding of healthcare data privacy regulations and HIPAA compliance requirements.

Preferred Qualifications and Benefits
- Experience with programming languages such as Python, R, or SAS for statistical analysis and automation purposes.
- Exposure to machine learning, predictive analytics, or NLP applications within healthcare settings.
- Knowledge of value-based care models, risk scoring methodologies, and population health analytics.
- Familiarity with automation and AI tools like Power Automate, Azure AI, or AI-enabled customer relationship management (CRM) systems.

This role demands onsite presence during specified hours and offers a dynamic, collaborative environment where your data analytics expertise will directly influence healthcare outcomes. By integrating advanced AI-driven solutions, you will play a pivotal role in enhancing the quality and efficiency of healthcare services.