Data Analyst - ETL

The Data Analyst will be responsible for architecting and executing the organizations enterprise analytics framework, leading business-critical strategic programs, and driving data-led transformation.

This role requires deep technical knowledge of data engineering and business intelligence tools, coupled with proven program management capabilities.

This is a cross-functional leadership position that will support decision-making at the CXO level, manage high-impact initiatives, establish analytics maturity, and ensure data governance and compliance across departments.

Key Responsibilities :

Enterprise Data Strategy & Architecture :

- Design and implement a scalable, cloud-compatible data architecture that supports real-time and historical analytics.

- Develop and maintain a centralized data model aligned to key business functions (Sales, Marketing, Supply

Chain, Finance).

- Identify and deploy data platforms and integration tools to streamline ETL processes and unify disparate data sources.

Analytics and Business Intelligence :

- Drive advanced analytics initiatives, including forecasting, segmentation, and trend analysis using statistical techniques.

- Define and track enterprise KPIs and operational metrics for performance optimization.

Special Initiatives and Strategic Programs :

- Manage end-to-end lifecycle of strategic initiatives from feasibility analysis and planning to execution, stakeholder alignment, and delivery.

- Leverage analytics to identify opportunities for new initiatives across automation, customer experience, and operational efficiency.

- Own program budgets, risk management, change control, and executive reporting.

Cross-Functional Collaboration :

- Collaborate with Sales, Marketing, Operations, Product, and Finance teams to solve high-priority business problems using data-driven approaches.

- Institutionalize standard operating procedures for analytics and project governance.

Data Governance and Compliance :

- Ensure compliance with legal and regulatory frameworks including GDPR, ISO standards, and IT security protocols.

- Maintain robust audit trails and documentation for internal and external data usage.

Technology Evaluation and Innovation :

- Drive automation of recurring reports, alerts, and anomaly detection for business-critical functions.

- Stay updated on emerging trends in data engineering, AI/ML integration, and cloud analytics platforms.

Team Building and Leadership :

- Foster a culture of continuous learning, technical excellence, and innovation.

- Provide guidance on data literacy initiatives across the organization to elevate analytical maturity.

Required Qualifications :

Educational Background :

- Masters degree or MBA with a focus on Business Analytics, Technology Strategy, or Information Systems is preferred.

Professional Certifications (Preferred but not mandatory) :

- Certified Analytics Professional (CAP)

- Project Management Professional (PMP) or equivalent Agile/Scrum certifications

- Google Data Analytics or relevant Coursera/Udacity specializations

Experience Requirements :

- At least 3 years of leadership experience in managing cross-functional teams and driving enterprise programs.

- Proven expertise in building and deploying scalable analytics frameworks in high-growth, tech-enabled organizations