Experienced Full Stack Data An · All India

Experienced Full Stack Data Analyst Clinical Research and Evidence Generation is a delivery-focused opportunity based in All India, India.

Join arenaflex, a leading healthcare company, in a dynamic role that combines data analysis, clinical research, and evidence generation. As an Experienced Full Stack Data Analyst, you will play a crucial part in driving business decisions with data-driven insights and contributing to the development of innovative healthcare solutions.

Key Responsibilities

• Join arenaflex, a leading healthcare company, in a dynamic role that combines data analysis, clinical research, and evidence generation
• As an Experienced Full Stack Data Analyst, you will play a crucial part in driving business decisions with data-driven insights and contributing to the development of innovative healthcare solutions
• With a strong commitment to innovation, quality, and patient-centered care, we strive to make a positive impact on people's lives
• Own day-to-day Experienced Full Stack Data Analyst Clinical Research and Evidence Generation 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.