Data Scientist will be responsible for supporting the Data Analytics and Billing & Reimbursement teams with demonstrable positive return on investment to internal process owners and executive leadership in terms of improved market growth, reduced operating costs, and improved process effectiveness and efficiencies across all enterprise functions. With support from Data Analysts team, the Sr. Data scientist identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Prepares big data, implements data models, and develops database to support the business solutions. Analytical support includes: metric development, baseline historical analysis development, measurement system analysis, and in developing EDR Analytics expertise. •Manages metrics tracking for all predictive projects. •Executes analytics and market research projects to obtain customer-patient insights •Designs and generates management reports from all enterprise-wide databases (SQL Server, Magento, etc.)•Design visualizations and dashboards using BI Tools like DOMO, Tableau, Power BI, etc. •Delivers value-added statistical analyses of data across multiple systems and to working with other groups to solve issues or operational reporting challenges (finance, billing, marketing, etc.)•Evaluates and analyzes KPI’s across Billing & Reimbursement to identify challenges and inefficiencies.



Education and/or Experience •Bachelor’s degree a minimum. •Must have Predictive modelling and execution experience. •3+ years of professional experience in a healthcare related field. •5+ years of market research experience and patient engagement experience. •8+ years of BI visualization tool experience. •8+ of professional work history in SQL, SAS, database management and reporting. •8+ years of data analytics and reporting. Ability to support EDR Design in terms of experimental unit selection, sampling, response variable determination, and baseline historical analysis of total system and experimental units •Ability to analyze EDR response data and interpret results •Understand database architecture, generate SQL queries to pull required data that supports analytics •Ability to analyze complex data, provide meaningful interpretation, and report effectively and efficiently •Ability to produce analysis and recommendations that can be easily understood. •Demonstrate project management and organizational skills.Experience in professional consulting, business intelligence, reporting, metrics development, business process analysis, planning,



and current services development •Experience in dimensional data modeling based on transactional systems in production preferably in a contact or call center environment •enterprise-wide systems, web technologies, content management, document management, identity and access management, data warehousing, reporting, dashboards, scorecards. •Must be self-motivated and able to work with minimal supervision. •Computer Skills •Advanced Excel (pivot and data connection strings are key). •MS SQL – Advanced query writing ability. •Advanced SQL Server Management Server. •Intermediate knowledge of SQL Server Analysis Service and SQL Server Reporting Services (or ability to learn quickly)•Familiarity with relational and dimensional DB design •Experienced with advanced Excel features, PowerPivot dimensional modeling, PowerQuery and PowerView. •Experience with SharePoint libraries and lists. •Intermediate experience with relational and dimensional databases •Experience working with ODBC connections and developing reports for a Contact Center environment. •Experience in BI visualization tools like Tableau, DOMO, Power BI, etc. Language Skills •English (reading, writing, verbal) High level mathematical proficiency, with a strong ability to understand, interpret and develop spreadsheet data. Education and/or Experience •Two to seven years related work experience is preferred. •Experience in a Contact Center workplace preferred. Total Experience: Relevant Experience:

📌 Data Science Manager (Remote) (Pune)
🏢 Accendra Health
📍 Pune