Advanced Analytics Engineer

About the Company

JOB DESCRIPTION Advanced Analytics Engineer

Location Chennai

Experience 6 to 10+ Years

Shift Work Mode 5:30 PM to 2:30 AM (US Shift) or 2:00 PM to 11:00 PM (UK Shift)

5 Days Working from office

About the Role

Advanced Analytics Engineer

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.

Qualifications

• 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.

Required Skills

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

Preferred Skills

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
• Clear written and verbal communication
• Ownership and delivery focus
• Curiosity, continuous learning, and innovation
• Mentoring and knowledge sharing