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Job Summary 

We are looking for a skilled and detail-oriented Incentive Analyst to join the SmartWinnr team. This role involves ensuring accurate calculation and validation of incentive payouts for our stakeholders, analyzing data to provide actionable insights, and supporting the effective execution of incentive plans. The Incentive Analyst will collaborate with cross-functional teams to align incentive models with client requirements and business objectives.  

Responsibilities 

• Calculate, validate, and ensure timely and accurate incentive calculations in compliance with established policies. 
• Prepare and deliver analytics and insights related to incentive programs for stakeholders. 
• Ability to setup, understand, validate SmartWinnr’s Incentive system 
• Collaborate with cross-functional teams to ensure the accuracy of incentive data and alignment with goals. 
• Create dashboards, reports, and visualizations using tools like Power BI, Tableau, and Excel to highlight key incentive metrics and trends. 
• Design, manage, and maintain client-specific incentive models that align with their business strategies and market trends. 
• Analyze existing client systems, databases, and processes to identify areas for improvement and propose cost-effective solutions. 
• Develop and refine incentive compensation models, ensuring they meet client requirements within defined timelines. 
• Conduct research on emerging technologies and trends to enhance incentive program design and execution. 
• Partner with internal teams to drive innovation, process automation, and improvements across incentive and data analysis functions. 

Required Qualifications 

• Bachelor’s degree in MIS, Information Systems Management, Business, Commerce, Computer Science, or a related field. 
• 4+ years of experience in incentive compensation, MIS, and/or a similar analytics role, preferably working with companies in the pharma or BFSI sectors. Experience in incentive compensation is a must for this role.  
• Advanced Proficiency in tools like Power BI, Tableau, SQL, and Excel for data analysis and reporting. 
• Advanced knowledge of data analysis techniques including Data Mining, Data Modeling, and Machine Learning. 
• Proven ability to design and manage incentive systems, calculate incentives, and generate actionable insights for stakeholders. 
• Strong understanding of financial analysis, business intelligence, and database management. 
• Ability to analyze large datasets to uncover trends and propose solutions to enhance efficiency. 
• Excellent communication skills to present findings and recommendations effectively to stakeholders. 
• Ability to collaborate with diverse teams and adapt to a fast-paced, dynamic environment. 
• A strong interest in data analysis, innovation, and leveraging technology to drive process improvements and enhance outcomes. 

4-6 years of total experience in data warehousing and business intelligence

3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)

2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)

Strong experience building visually appealing UI/UX in Power BI

Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)

Experience building Power BI using large data in direct query mode

Expert SQL background (query building, stored procedure, optimizing performance)

• experience in algorithm development with a focus on signal processing, pattern recognition, machine learning, classification, data mining, and other areas of machine intelligence.
• Ability to analyse data streams from multiple sensors and develop algorithms to extract accurate and meaningful sport metrics.
• Should have a deeper understanding of IMU sensors and Biosensors like HRM, ECG
• A good understanding on Power and memory management on embedded platform

•  Expertise in the design of multitasking, event-driven, real-time firmware using C and understanding of RTOS concepts
• Knowledge of Machine learning, Analytical and methodical approaches to data analysis and verification and Python
• Prior experience on fitness algorithm development using IMU sensor
•  Interest in fitness activities and knowledge of human body anatomy