• Collaborate with leaders and stakeholders to define KPIs, drive strategic insights, and deliver analytical solutions aimed at optimizing revenue growth, market penetration, customer acquisition, and customer success across the organization (Sales OS).• Develop and maintain intuitive and impactful data visualizations using Tableau to enhance organizational visibility, enabling data-driven decision-making by effectively communicating the story behind the data to non-technical stakeholders.• Utilize Snowflake to build robust data models, ensuring accurate representation of complex data sets while collaborating with the Data Engineering team to build automated processes and data pipelines, enhancing efficiency and reliability of data workflows.• Conduct root-cause analyses of data issues, collaborate with cross-functional teams to implement fixes, and ensure data accuracy and reliability.

• Design architecture in SiSense and develop reporting platform for Operations Sales and Functional teams.• Worked with stakeholders to gather requirements, develop BI solutions, and maintain data integrity while leading projects, performing cross-functional business analysis, and streamlining processes.• Provided design support for BI solutions including self-service analytics, dashboards, and interactive reports.• Responsible for developing data transformations in DBT, building tables in Snowflake and maintain data parity. • Partnered with data engineering team to translate business needs into technical requirements for data collection and pipelines.• Conceptualized and Developed Hierarchical focused reporting structure for effective user consumption.

• Design, develop, test and maintain Tableau functional reports based on user requirements.• Provide reporting and analytical support for departments across the organization including operations, product, marketing and sales.• Lead Projects, perform Cross-Functional business analysis, maintain critical operational reports and utilize technology to streamline process and gather requirements for Sales Analytics and reporting.• Implemented Tableau Server migration and facilitated in Data migration projects.• Conceptualized and Developed KPI focused reporting structure for effective user consumption.• Serve as Tableau BI SME to do full stack Tableau reporting development, starting from ETL processdevelopment, database design, data visualization to Tableau Server administration.• Launched projects in Looker for various clients to solve business problems and provided data insights.• Responsible for designing ETL processes, developing source-to-target data mappings, data transformations in Snowflake, integration workflows and load data to tableau server for developing BI Tools.• Developing meaningful stakeholder relationships and proactively engaging with stakeholders to gatheranalytical needs and translating the requirements into business and technical requirements

• Designed, developed, tested and maintained Tableau functional reports based on user requirements.• Collaborated with business users to identify key business requirements and functional specifications for data reporting processes.• Developed Predictive and Prescriptive analytics reports to the employers about the Large Claimants, Risk Scores, Comorbidities, Clinical & Financial Analysis, Inpatient/Outpatient Analysis, High Cost Claimants etc. • Worked in all phases of business intelligence projects, including requirements gathering, documentation, technology evaluation, solution design, implementation, testing and user training. • Design and drive BI Solutions for the Professional Employer Organization (PEO) Vertical at BST by monitoring the development of project and conducting business analysis, data reports evaluation, requirements analysis and solution configuration. • Install/upgrade Tableau Server and server performance tuning for optimization. Administer users, user groups and scheduled instances for reports in Tableau.• Created interactive data visualizations in Tableau which are used by management teams to quickly identify KPI and make data-driven decisions.• Designed data transformation and integration process to procure data from database to reporting and submission. • Responsible for data validation and error analysis to maintain the accuracy of front-end data reports.

• Analyzed the developed KPI’s for the Medicare patients to the capacity of 300K every month and provide outreach reports based on the demographics for managed care penetration.• Developed and provided regular statistical reports as requested based on user requirements for depression screening, Asthma Screening etc.• Design business requirements and guidelines as it relates to receiving data, data quality and data profiling from various sources.• Created stored procedures as needed for data processing and new datasets, use R/ SQL identify and analyze data anomalies.• Responsible for timely HEDIS and monthly /quarterly utilization reporting using SSRS and Tableau.• Work on patient’s data who are having Gaps in care and develop strategies to schedule appointments with the nearest practice.

• Identified business problems, developed Key Performance Indicator’s using Microsoft BI tools and provided the management with the data driven solutions. • Provided management with reorganization, consolidation and relocation strategies of the client facilities based on the patient visit patterns which increased the services provided to facilities ratio using SSIS and SSRS.• Conduct data mining, data modeling, statistical analysis using SAS to gather business intelligence which helped reaching out to more clients.• Developed an optimized clinical staff scheduling model which helped in assigning the clinicians effectively. This helped in increasing the patient health index and satisfactory index while decreasing the risk of readmission.• Provided insights from the social media data using text mining analysis through SPSS Modeler to check in on the functioning of individual facilities which increased the occupancy rate.• Responsible for financial compliance, reporting and audit process to fulfill independence compliance initiatives for clients.

Client: American Express• Responsible for analytical data needs, handling of complex data requests, reports, and predictive data modeling.• Designed ad-hoc queries with SQL in Cognos ReportNet. Examined reports and presented findings in PowerPoint and Excel.• Used Anomaly & Fraud detection techniques with SAS E-Miner for the American Express client resulting in reduction of 22% of fraudulent cases.• Reporting of frauds, missed transactions, forecast, user behavior using Tableau in direct weekly cross-functional team meetings for continuous process improvement.• Implemented Agile Scrum practices for project implementation which reduced the project touch time by 300 man-hours and cost reduction of $30,000/year.

Client: Nielsen• Evaluated performance of 300+ retail stores for clients based on key metrics and identified opportunities to enable stores to meet and exceed their financial targets through increased sales.• Created data lake by extracting customer’s data from various data sources into HDFS. This includes data from Teradata, Mainframes, RDBMS, CSV and Excel.• Involved in optimization of SQL scripts and designed efficient queries to query data. • Developed the SQL table schema for the effective storage of the customer data.• Involved in preparing design and unit and Integration test documents.