Position – Advanced Analytics Engineer Location : Chennai (WFO) Experience : 7-10 Years Shift : 2.00 PM to 11.00 PM (UK shift) and 5:30 PM to 2:30 AM (US Shift) – Rotational Basis Key Responsibilities • Partner with business stakeholders to understand business challenges, identify analytical opportunities, and translate requirements into scalable solutions. • Design and develop advanced analytics models for forecasting, optimization, segmentation, classification, and predictive decision-making. • Perform exploratory data analysis to identify patterns, trends, drivers, anomalies, and actionable business insights. • Build, validate, deploy, and monitor machine learning and statistical models for enterprise business use cases. • Develop analytical solutions using Python, R, SQL, Microsoft Fabric, notebooks, and related technologies. • Create dashboards, scorecards, and self-service analytical experiences using Microsoft Power BI and Fabric. • Collaborate with data engineers to define data requirements and ensure reliable, governed, analytics-ready datasets. • Support AI and Generative AI initiatives by assessing business use cases and implementing appropriate analytical approaches. • Build reusable analytics assets, feature engineering components, notebooks, templates, and frameworks. • Document analytical methodologies, assumptions, model logic, validation results, limitations, and business recommendations. • Present analytical insights and recommendations clearly to business and executive stakeholders. • Apply data governance, privacy, security, and responsible AI standards throughout the analytics lifecycle. • Mentor junior team members,



participate in peer reviews, and promote analytical best practices. • Evaluate emerging analytics, machine learning, and AI technologies that can improve business outcomes. Required Education & Experience Education • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, Analytics, or a related quantitative discipline. 6 to 10 Years of Experience • Advanced analytics, statistical analysis, or data science solution delivery. • SQL Server, T-SQL, data analysis, and relational data modeling. • Python or R programming for analytics and model development. 1 to 3 Years of Experience • Microsoft Fabric and analytics workloads. • Python, PySpark, and notebook-based development using Jupyter or Marimo. • Machine learning, feature engineering, model validation, and model monitoring. • AI or Generative AI solution development. • Medallion Data Architecture and Lakehouse concepts. • Git-based version control and CI/CD practices for analytics projects. Core Technical Skills Advanced Analytics & Data Science • Predictive and prescriptive analytics • Statistical modeling, probability, and hypothesis testing • Regression, classification,



and clustering • Forecasting and time-series analysis • Segmentation, optimization, and anomaly detection • A/B testing and experiment analysis • Feature engineering and model evaluation Technology & Tools • Python, R, and SQL • Microsoft Fabric and Power BI • PySpark • Jupyter and Marimo notebooks • Git and version control • Scikit-learn or equivalent machine learning frameworks AI & Model Lifecycle • Generative AI applications and prompt engineering • Model deployment, monitoring, and lifecycle management • Responsible AI practices • Reusable analytics solution patterns and documentation Strongly Preferred • Experience building enterprise-scale analytics solutions and reusable analytical products. • Experience with workforce, hiring, recruitment, financial, or operational analytics. • Hands-on experience delivering machine learning and AI use cases into business processes. • Experience presenting insights and recommendations to executive stakeholders. • Understanding of MLOps concepts and end-to-end model lifecycle management. • Experience using AI productivity tools such as GitHub Copilot and Microsoft Copilot. • Microsoft Fabric, Power BI, Azure Data Scientist, or related certifications. • Strong consulting, communication, problem-solving, and data storytelling skills. Key Competencies • Analytical and critical thinking • Business acumen and problem framing • Stakeholder collaboration • Explicit written and verbal communication • Ownership and delivery focus • Curiosity, continuous learning, and innovation • Mentoring and knowledge sharing

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