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, Py Spark, 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 • Py Spark • 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 Git Hub 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 • Transparent written and verbal communication • Ownership and delivery focus • Curiosity, continuous learning, and innovation • Mentoring and knowledge sharing

📌 Advanced Analytics Engineer (Chennai)
🏢 NowWiN International
📍 Chennai