Exp: 3 years to 9 years Designation: Senior Associate (Sr. Business Analyst) Location: Gurgaon/Bangalore/Hyderabad Summary: Review, analyze and evaluate business processes and end-user requirements. Define scope and strategize frameworks aligned to the overall business objectives. Should have 4-8 years of experience in the consulting or business analytics. Familiarity with analytical models and statistical concepts would be advantageous. Life Science business domain knowledge would be must. Commercial Analytics is must to have with experience on Segmentation, Targeting, Sales Force Sizing, Call Planning, Alignment, Incentive Compensation, Sales Reporting, Forecasting, Market Mix Modelling, Patient Data Analytics, Specialty data Analytics etc. Familiarity with Life Science datasets such as DDD, Xponent, NPS, APLD etc. Role & Responsibility Understand data needs, compose data queries and reports and garner a thorough understanding of customer requirements and potential business implications. Strong problem solving and troubleshooting skills. Proven experience in prioritizing and delegating work to meet deadlines, objectives and quality metrics Manage the end-to-end process set-up by applying best practices. Construct workflow charts and diagrams studying system capabilities creating use cases Drive decision making process amongst key stakeholders. Develop customized analytical reports to cater to the requests of external and internal customers Ability to collaborate with onsite and customer teams to understand business requirements and translate that in actionable plan. Drive/Attend meetings and daily stand-up sessions to keep abreast of project objectives, deliveries and processes Improve systems by studying current practices initiating transformations Validate resource requirements and develop cost estimate models Perform daily, weekly and monthly reviews and analyses of current processes using operational metrics and reports Create informative, actionable and repeatable reporting that highlights relevant business trends and opportunities for improvement Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues Skills & Experience Experience in commercial sales operations for life sciences industry Knowledge of databases. Strong SQL knowledge and ability to write complex queries. Proficiency in Excel and Powerpoint Functional understanding of analytical platforms and visualization technologies like R, Python, Tableau, Power BI, Dataiku, Alteryx etc. Familiarity with the application of predictive analytics, cognitive computing and forecasting to real world problems Effectively communicate project details to clients and internal delivery team via written documents and presentations Strong interpersonal and presentation skills - ability to convey technology and business value propositions Ability to work independently, handle multiple tasks, and prioritize based on the requirements of the business Please find below the JD for LS Data Analyst. Designation: Senior Associate (Sr. Business Analyst) Location: Gurgaon/Bangalore/Hyderabad Summary: Review, analyze and evaluate business processes and end-user requirements. Define scope and strategize frameworks aligned to the overall business objectives. Should have 4-8 years of experience in the consulting or business analytics. Familiarity with analytical models and statistical concepts would be advantageous. Life Science business domain knowledge would be must. Commercial Analytics is must to have with experience on Segmentation, Targeting, Sales Force Sizing, Call Planning, Alignment, Incentive Compensation, Sales Reporting, Forecasting, Market Mix Modelling, Patient Data Analytics, Specialty data Analytics etc. Familiarity with Life Science datasets such as DDD, Xponent, NPS, APLD etc. Role & Responsibility Understand data needs, compose data queries and reports and garner a thorough understanding of customer requirements and potential business implications. Strong problem solving and troubleshooting skills. Proven experience in prioritizing and delegating work to meet deadlines, objectives and quality metrics Manage the end-to-end process set-up by applying best practices. Construct workflow charts and diagrams studying system capabilities creating use cases Drive decision making process amongst key stakeholders. Develop customized analytical reports to cater to the requests of external and internal customers Ability to collaborate with onsite and customer teams to understand business requirements and translate that in actionable plan. Drive/Attend meetings and daily stand-up sessions to keep abreast of project objectives, deliveries and processes Improve systems by studying current practices initiating transformations Validate resource requirements and develop cost estimate models Perform daily, weekly and monthly reviews and analyses of current processes using operational metrics and reports Create informative, actionable and repeatable reporting that highlights relevant business trends and opportunities for improvement Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues Skills & Experience Experience in commercial sales operations for life sciences industry Knowledge of databases. Strong SQL knowledge and ability to write complex queries. Proficiency in Excel and Powerpoint Functional understanding of analytical platforms and visualization technologies like R, Python, Tableau, Power BI, Dataiku, Alteryx etc. Familiarity with the application of predictive analytics, cognitive computing and forecasting to real world problems Effectively communicate project details to clients and internal delivery team via written documents and presentations Strong interpersonal and presentation skills - ability to convey technology and business value propositions Ability to work independently, handle multiple tasks, and prioritize based on the requirements of the business
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