Position – Advanced Analytics Engineer n

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nLocation : Chennai (WFO)n

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nExperience : 7-10 Yearsn

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nShift : 2.00 PM to 11.00 PM (UK shift) and 5:30 PM to 2:30 AM (US Shift) – Rotational Basisn

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nKey Responsibilities n

n• Partner with business stakeholders to understand business challenges, identify analytical opportunities, and translate requirements into scalable solutions. n

n• Design and develop advanced analytics models for forecasting, optimization, segmentation, classification, and predictive decision-making. n

n• Perform exploratory data analysis to identify patterns, trends, drivers, anomalies, and actionable business insights. n

n• Build, validate, deploy, and monitor machine learning and statistical models for enterprise business use cases. n

n• Develop analytical solutions using Python, R, SQL, Microsoft Fabric, notebooks, and related technologies. n

n• Create dashboards, scorecards, and self-service analytical experiences using Microsoft Power BI and Fabric. n

n• Collaborate with data engineers to define data requirements and ensure reliable, governed, analytics-ready datasets. n

n• Support AI and Generative AI initiatives by assessing business use cases and implementing appropriate analytical approaches. n

n• Build reusable analytics assets, feature engineering components, notebooks, templates, and frameworks. n

n• Document analytical methodologies, assumptions, model logic, validation results, limitations, and business recommendations. n

n• Present analytical insights and recommendations clearly to business and executive stakeholders. n

n• Apply data governance, privacy, security, and responsible AI standards throughout the analytics lifecycle. n

n• Mentor junior team members,



participate in peer reviews, and promote analytical best practices. n

n• Evaluate emerging analytics, machine learning, and AI technologies that can improve business outcomes. n

nRequired Education & Experience n

nEducation n

n• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, Analytics, or a related quantitative discipline. n

n6 to 10+ Years of Experience n

n• Advanced analytics, statistical analysis, or data science solution delivery. n

n• SQL Server, T-SQL, data analysis, and relational data modeling. n

n• Python or R programming for analytics and model development. n

n1 to 3 Years of Experience n

n• Microsoft Fabric and analytics workloads. n

n• Python, PySpark, and notebook-based development using Jupyter or Marimo. n

n• Machine learning, feature engineering, model validation, and model monitoring. n

n• AI or Generative AI solution development. n

n• Medallion Data Architecture and Lakehouse concepts. n

n• Git-based version control and CI/CD practices for analytics projects. n

nCore Technical Skills n

nAdvanced Analytics & Data Science n

n• Predictive and prescriptive analytics n

n• Statistical modeling, probability, and hypothesis testing n

n• Regression, classification, and clustering n

n• Forecasting and time-series analysis n

n• Segmentation, optimization,



and anomaly detection n

n• A/B testing and experiment analysis n

n• Feature engineering and model evaluation n

nTechnology & Tools n

n• Python, R, and SQL n

n• Microsoft Fabric and Power BI n

n• PySpark n

n• Jupyter and Marimo notebooks n

n• Git and version control n

n• Scikit-learn or equivalent machine learning frameworks n

nAI & Model Lifecycle n

n• Generative AI applications and prompt engineering n

n• Model deployment, monitoring, and lifecycle management n

n• Responsible AI practices n

n• Reusable analytics solution patterns and documentation n

nStrongly Preferred n

n• Experience building enterprise-scale analytics solutions and reusable analytical products. n

n• Experience with workforce, hiring, recruitment, financial, or operational analytics. n

n• Hands-on experience delivering machine learning and AI use cases into business processes. n

n• Experience presenting insights and recommendations to executive stakeholders. n

n• Understanding of MLOps concepts and end-to-end model lifecycle management. n

n• Experience using AI productivity tools such as GitHub Copilot and Microsoft Copilot. n

n• Microsoft Fabric, Power BI, Azure Data Scientist, or related certifications. n

n• Strong consulting, communication, problem-solving, and data storytelling skills. n

nKey Competencies n

n• Analytical and critical thinking n

n• Business acumen and problem framing n

n• Stakeholder collaboration n

n• Transparent written and verbal communication n

n• Ownership and delivery focus n

n• Curiosity, continuous learning, and innovation n

n• Mentoring and knowledge sharing

📌 Advanced Analytics Engineer (Tamil Nadu)
🏢 NowWiN International
📍 Tamil Nadu