Data Analyst

Join the Future of Healthcare Technology
With our client, you’ll be part of a cutting-edge tech company specializing in data-driven solutions that empower healthcare organizations to optimize operations, improve patient outcomes, and reduce costs.
Why Join Us?
 

• Innovative Impact: Work on AI and machine learning technologies that solve complex healthcare challenges and make a real difference in patient care.
   
• Collaborative Growth: Be part of a team of bright minds in a culture that values collaboration, learning, and career advancement.
   
• Cutting-Edge Technology: Engage with the latest tools in AI, big data, and healthcare tech.
   

If you’re ready to contribute to meaningful innovations in healthcare, explore our opportunities and join a team committed to making a difference.

Job Description: We are seeking a highly skilled and detail-oriented Data Analysis to join our team. In this role, you will be responsible for the selection/profiling, pre-processing, transformation, mining, interpretation, and evaluation of data elements crucial to client engagements. Your expertise will play a pivotal role in identifying opportunities and driving ROI within the healthcare delivery value chain. Key Responsibilities: Data Profiling and EDA • Conduct initial profiling and discovery of data to assess quality, completeness, and suitability for analysis. • Data Quality Assessment • Data Structure Analysis • Data Relationships – Well versed with SQL query. Working experience in Snowflake will be a great advantage. • Value Distribution: Data profiling analyses the distribution of values within each data field or column. It helps in identifying patterns, outliers, and anomalies in the data distribution, which can provide insights into data trends and potential data issues. • Automated Exploratory data analysis tools or python libraries Transformation: • Execute various phases of data transformation based on the dataset and business logic requirements. • Exposure to tools like dbt, Snowflake, Azure DF, Informatica • Examples include but are not limited to: o Care gaps analytics (identification and reporting) o Clinical quality measures o Population health cohort building and analysis. o Revenue cycle metrics development and analysis o Payer behaviour analysis and contract modelling Visualisation: • Experience with data visualisation tool like Power BI, Tableau or Quick Sight will be a big plus. Data Mining: • Utilize analytical methods and pre-built reporting environments/sandboxes to explore key combinations of attributes and metrics. • Develop data models to mine data effectively, focusing on identifying relationships and patterns that drive ROI within the healthcare delivery value chain. Interpretation / Evaluation: • Collaborate with clients to interpret analysis results and evaluate opportunities for improvement. • Provide insights and recommendations based on data analysis to guide strategic decision-making processes. 3. Healthcare domain knowledge: • Experience conducting comprehensive analysis of healthcare data from various sources, including electronic health records (EHRs), claims data, and other relevant datasets. - PCP (Primary Care Physician) attribution. - EMPI (Enterprise Master Patient Index) management. - Running groupers for data aggregation. - Claims reconciliation to ensure data accuracy and consistency. • Generate actionable insights and recommendations to enhance healthcare processes, cost-efficiency, and patient outcomes. • Familiar to Claims data sets, RCM data set, Clinical data sets and life science data sets. • Experience working with X12 formats (Files like 835, 837 etc) , Hands on with HL7, FHIR file formats. • Develop and produce regular reports on key healthcare metrics, performance indicators, and trends. Qualifications: - Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field. Master's degree preferred. - Proven experience in data analysis, transformation, and interpretation within the healthcare industry. - Proficiency in data mining techniques and tools, with a strong understanding of statistical analysis and machine learning algorithms. - Experience working with healthcare-related datasets, including claims data, patient records, and healthcare delivery systems. - Strong communication and collaboration skills, with the ability to effectively present complex data analysis results to non-technical stakeholders. - Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms. - Familiarity with programming languages such as SQL, Python, or R for data analysis and manipulation. You might also be required to play the role of a QA validating releases and client implementations from time to time. If you're passionate about leveraging data-driven insights to drive meaningful impact in healthcare delivery, we encourage you to apply for this exciting opportunity. Join us in making a difference in the healthcare industry through innovative data analysis and transformation technique