Data Analyst · All India

Data Analyst is a delivery-focused opportunity based in All India, India.

The company is known for its robust analytics team and offers opportunities to work on impactful projects within the Shanghai market. Job Description Analyse large datasets to uncover trends and provide actionable recommendations.Collaborate with cross-functional teams to support decision-making processes.Develop and maintain dashboards and reports for tracking key performance indicators (KPIs).Identify areas for business improvement through data analysis and reporting.Ensure data accuracy and integrity by performing regular quality checks.Support the analytics department in implementing advanced statistical models.Present data insights and findings to stakeholders in a clear and concise manner.Stay updated on the latest tools and techniques in data analytics to improve processes.

Key Responsibilities

• The company is known for its robust analytics team and offers opportunities to work on impactful projects within the Shanghai market
• Job Description Analyse large datasets to uncover trends and provide actionable recommendations.Collaborate with cross-functional teams to support decision-making processes.Develop and maintain dashboards and reports for tracking key performance indicators (KPIs).Identify areas for business improvement through data analysis and reporting.Ensure data accuracy and integrity by performing regular quality checks.Support the analytics department in implementing advanced statistical models.Present data insights and findings to stakeholders in a clear and concise manner.Stay updated on the latest tools and techniques in data analytics to improve processes
• The Successful Applicant A successful Data Analyst should have: A degree in a relevant field such as Statistics, Mathematics, Computer Science, or similar.Proficiency in data analysis tools such as SQL, Python, or R.Experience with data visualisation platforms like Tableau or Power BI.Strong problem-solving and analytical skills to interpret complex datasets.Attention to detail and a commitment to ensuring data accuracy.The ability to communicate findings effectively to both technical and non-technical audiences
• Own day-to-day Data Analyst 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.