Senior Lead Consultant Business Analytics, Data Enginee (Tamil Nadu)

Immediate Requirement Position : Senior Lead Consultant Business Analytics, Data Engineering & Strategy Location : Work from home (adaptable to work in US timings) Organization: NextAccel Skills - The ideal candidate should possess strong analytical capabilities, consulting experience, business acumen, and executive-level communication skills.Strong hands-on technical skills in database management, programming (SQL, Python), data engineering, and data architecture are mandatory. Experience : 712 years of experience in Business Analytics, Business Analysis, Strategy, or Consulting, with at least 34 years spent at a recognized top-tier or Big 4 management consulting firm. Education: MBA from a reputed institution OR MS in Data Science, Computer Science, Information Systems, or a related technical field. Position Overview: Business Analytics & Strategy will play a critical role in supporting executive leadership by providing data-driven insights, strategic recommendations, and business transformation initiatives. This role combines Data Analytics, Data Engineering, Business Analysis, Business Consulting, Corporate Strategy, Process Improvement, and Management Reporting to drive organizational growth and operational excellence. KEY RESPONSIBILITIES: BUSINESS ANALYTICS & INTELLIGENCE - Analyze large and complex datasets to identify business trends, growth opportunities, and operational inefficiencies. - Develop executive dashboards, KPIs, scorecards, and management reports. - Provide actionable insights to support strategic decision-making. - Establish data-driven performance measurement frameworks across business functions. - Conduct predictive and trend analysis to support business planning. - Design, build, and maintain scalable data pipelines and ETL processes to ensure data integrity and accessibility across the organization. - Develop and manage data models, databases, and data warehouses to support advanced analytics and reporting. - Write and optimize complex SQL queries and Python/R scripts for data extraction, transformation, and automation. - Implement data governance frameworks, data quality standards, and master data management (MDM) practices. BUSINESS STRATEGY & CONSULTING - Partner with executive leadership to define and execute business strategies. - Conduct market research, competitive benchmarking, and industry analysis. - Identify growth opportunities, new service offerings, and market expansion initiatives. - Develop strategic business cases and investment recommendations. - Support mergers, acquisitions, partnerships, and business transformation initiatives when applicable. BUSINESS ANALYSIS & PROCESS IMPROVEMENT - Analyze current business processes and identify opportunities for optimization. - Lead operational excellence and process improvement initiatives. - Evaluate business requirements and recommend scalable solutions. - Drive automation and digital transformation projects across functions. - Establish governance frameworks and performance management systems. MANAGEMENT REPORTING & EXECUTIVE SUPPORT - Prepare monthly, quarterly, and annual business performance reports. - Present insights and recommendations to senior leadership and board-level stakeholders. - Monitor organizational KPIs, financial metrics, and operational performance. - Develop executive presentations and strategic review materials. - Support annual operating plans, budgeting, and forecasting activities. STAKEHOLDER MANAGEMENT - Collaborate with Operations, Finance, HR, Sales, Marketing, and Customer Success teams. - Serve as a strategic advisor to business leaders. - Facilitate leadership reviews, planning workshops, and strategic initiatives. - Build strong relationships with internal and external stakeholders. TECHNICAL & DATA ENGINEERING SKILLS - Advanced Microsoft Excel (financial modeling, complex formula linking, scenario analysis) - Business Intelligence: Power BI, Tableau, or Looker including DAX, data modeling, and custom visualization development - Database & Data Management: Advanced SQL (complex queries, optimization, stored procedures, CTEs, window functions), relational and NoSQL databases (PostgreSQL, MySQL, SQL Server, MongoDB, Snowflake), ETL/ELT pipelines, data modeling, data warehousing, and data governance. - Programming: Python (pandas, NumPy, PySpark) or R for data manipulation, automation, statistical analysis, and machine learning pipelines - Data Architecture: Experience with cloud data platforms (AWS Redshift, Azure Synapse, GCP BigQuery), data lakes, and API integrations - Automation & Digital Tools: Workflow automation (Power Automate, Zapier, Python-based scripting), RPA exposure a plus - Presentation Tools (PowerPoint, Google Slides) REQUIREMENTS - Mandatory prior consulting experience at a recognized top-tier or Big 4 management consulting firm. - Deep expertise in business operations (process design, operational excellence, supply chain, or service delivery .