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About
Sangeeta Anand is a seasoned Senior Data Analyst and Business Systems Analyst with over 18 years of extensive experience in data analysis, business intelligence, quality assurance, and Agile methodologies. She holds multiple certifications, including PMP, PSM, and SAFE Agilist, along with expertise in tools like Power BI, SQL, Snowflake, and ETL processes. She is highly proficient in data modeling, data validation, and creating insightful reports that enable informed business decisions. Her current role at Continental General focuses on enhancing the Long-Term Care Insurance (LTCI) model in the healthcare sector. Sangeeta works closely with stakeholders, healthcare professionals, and regulatory bodies to analyze business requirements and propose solutions that improve efficiency in claims management, policy administration, and patient care coordination. She is responsible for developing SQL queries in Snowflake to support data mining and analytics, ensuring actionable insights for business decisions. Her work also involves system integration, regulatory compliance, risk assessment, and collaboration with QA teams for user acceptance testing. With strong technical skills, Sangeeta has a solid foundation in data warehousing and relational data modeling. She has led various development teams, optimizing Agile processes and fostering Scrum methodologies. She excels in writing complex SQL scripts, creating ER diagrams, and facilitating data extraction for data marts and reporting. She has experience working in healthcare projects involving HIPAA, ICD-9/10 coding, and EDI transactions. Her academic background includes a Master’s degree in Computer Applications from Guru Gobind Singh Indraprastha University and a Bachelor's degree in Mathematics from Delhi University. Throughout her career, she has demonstrated expertise in Agile practices, stakeholder management, data-driven insights, and delivering high-impact solutions in the healthcare and insurance sectors.
Skills & Expertise
HIPAA
UAT
Research Interests
Quality Assurance
Data mining
Data Masking
Data Mart
Connect With Me
Experience
SENIOR BUSINESS SYSTEM ANALYST
- ● Engage with stakeholders such as insurance providers, healthcare professionals, regulatory bodies, and technology teams to collect and analyze business requirements for the LTCI system enhancement. ● Conduct interviews, workshops, and surveys to gather insights from stakeholders and document functional and non-functional requirements. ● Map out existing long-term care insurance processes, identifying inefficiencies and opportunities for process improvement. ● Propose solutions to streamline workflows, reduce manual processes, and improve the overall efficiency of claims management, policy administration, and patient care coordination. ● Collaborate with technical teams to define system specifications and create clear documentation such as business requirements documents (BRD), functional specifications, user stories, and use cases. ● Work with architects and developers to design the system and ensure that it meets business needs and integrates with existing systems (e.g., Electronic Health Records, insurance databases, payment platforms). ● Serve as the primary point of contact between business stakeholders and the technical team to ensure clear communication and a shared understanding of business goals. ● Facilitate regular meetings with stakeholders to provide project updates, gather feedback, and manage expectations. ● Ensure the LTCI system meets all relevant healthcare and insurance regulations, including HIPAA, data security standards, and insurance industry regulations. ● Developed various complex SQL queries in snowflake and procedures to implement the datamining process as required per business to identify the impacted customers based on remitted payments and repossessions on the historical account summary data fields from database. ● Interpret data analysis results using snowflake and provide actionable insights and recommendations to stakeholders. This involve identifying trends, patterns, and correlations in the data that can inform business decisions and strategies. ● Logical Data modeling created class diagrams and ER diagrams and used SQL queries to filter data within the Oracle database. ● Performed Data Analysis and data manipulation of source data from SQL snowflake and other data structures to support the business organization. ● Identify and assess potential risks related to system functionality, integration, or regulatory compliance and collaborate with the team to mitigate those risks. ● Oversee the integration of the LTCI system with other healthcare systems, ensuring seamless data exchange between insurance platforms, healthcare providers, and third-party systems. ● Collaborate with quality assurance (QA) teams to develop test cases and validate that the system functions according to business requirements. ● Support user acceptance testing (UAT) to ensure that the final system aligns with stakeholder needs and business objectives. ● Define key performance indicators (KPIs) and metrics for measuring system success and business outcomes. ● Work with data analysts and business intelligence teams to design reporting tools that provide valuable insights into insurance claims, patient care, and operational efficiencies. ● Ensure that the system can generate reports to assist with decision-making for insurance providers, patients, and regulatory bodies. ● Develop training materials and conduct training sessions for users such as insurance agents, healthcare providers, and claims administrators. ● Assist with the change management process by helping staff adapt to new processes and systems, ensuring a smooth transition during system implementation.
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