Senior Data Analyst (Madri) · Hyderabad

Senior Data Analyst (Madri) is a delivery-focused opportunity based in Hyderabad, India.

Key Responsibilities - Strategic Analysis: Design, execute, and oversee advanced analytical projects that evaluate business health, market trends, and operational efficiencies. - Data Architecture & Modeling: Collaborate with data engineers to optimize data structures, design robust data models, and streamline ETL (Extract, Transform, Load) pipelines for analytics.

Key Responsibilities

• Key Responsibilities - Strategic Analysis: Design, execute, and oversee advanced analytical projects that evaluate business health, market trends, and operational efficiencies
• - Data Architecture & Modeling: Collaborate with data engineers to optimize data structures, design robust data models, and streamline ETL (Extract, Transform, Load) pipelines for analytics
• - Executive Stakeholder Management: Translate complex analytical findings into clear, impactful stories and strategic recommendations for executive leadership and department heads
• Own day-to-day Data Analyst (Madri) workflows with a focus on throughput, control, and process clarity.
• Track operational execution closely and intervene early when bottlenecks or exceptions emerge.
• Coordinate across teams to keep dependencies moving and stakeholders informed.
• Review reports, data, or reconciliations to identify gaps, risks, and corrective actions.
• Standardize repeatable processes and improve documentation so work is easier to execute reliably.
• Resolve escalations with urgency while preserving process integrity and service quality.
• Maintain clear records of outcomes, blockers, and action items for operational visibility.
• Partner with managers and functional teams to improve workflow design and turnaround times.
• Use operational metrics to prioritize improvement efforts and measure changes over time.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in operations, commerce, business, or a related field.
• Strong analytical thinking with the ability to work through ambiguity and operational bottlenecks.
• Excellent coordination, communication, and stakeholder-management skills.
• Comfort working across data, process, and execution details to improve throughput.
• Strong ownership mindset with attention to detail and follow-through.
• Ability to balance process discipline with fast-moving business needs.

Applications should be submitted through the listed apply link.