Data Analyst Advanced Analytic · All India

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

Data Analyst Product & Advanced Analytics Experience: 510 Years Location: Remote Employment Type: Full-Time Job Summary We are looking for an experienced Data Analyst to turn high-volume product and marketplace data into actionable insights. Key Responsibilities Analyze product, marketplace, customer, pricing, and operational data.Build analytical datasets using large-scale event data and distributed systems.Develop and maintain business metrics, dashboards, and self-service analytics.Design and analyze A/B tests, experiments, and causal studies.Perform cohort, funnel, retention, segmentation, anomaly, and elasticity analysis.Work with Product, Data Science, Engineering, Operations, Finance, and business teams.Communicate insights and recommendations to senior stakeholders.Required Skills 510 years of experience in Data Analytics, Product Analytics, BI, or related fields.Advanced SQL including CTEs, window functions, nested data, and query optimization.Strong statistical and experimentation knowledge.Python or R for analytics and statistical modeling.Experience with large-scale event data and distributed analytical systems.Strong stakeholder communication skills.Good to Have Presto/Trino, Apache Pinot, Apache Hudi, Spark SQL, dbtTableau / LookerMarketplace, mobility, logistics, e-commerce, fintech, or pricing experience.Geospatial analytics / H3 or S2Metric stores, semantic layers, experimentation platforms, or analytical observability.Experience: Data analytics: 5 years (Required)Work Location: Remote .

Key Responsibilities

• Data Analyst Product & Advanced Analytics Experience: 510 Years Location: Remote Employment Type: Full-Time Job Summary We are looking for an experienced Data Analyst to turn high-volume product and marketplace data into actionable insights
• Key Responsibilities Analyze product, marketplace, customer, pricing, and operational data.Build analytical datasets using large-scale event data and distributed systems.Develop and maintain business metrics, dashboards, and self-service analytics.Design and analyze A/B tests, experiments, and causal studies.Perform cohort, funnel, retention, segmentation, anomaly, and elasticity analysis.Work with Product, Data Science, Engineering, Operations, Finance, and business teams.Communicate insights and recommendations to senior stakeholders.Required Skills 510 years of experience in Data Analytics, Product Analytics, BI, or related fields.Advanced SQL including CTEs, window functions, nested data, and query optimization.Strong statistical and experimentation knowledge.Python or R for analytics and statistical modeling.Experience with large-scale event data and distributed analytical systems.Strong stakeholder communication skills.Good to Have Presto/Trino, Apache Pinot, Apache Hudi, Spark SQL, dbtTableau / LookerMarketplace, mobility, logistics, e-commerce, fintech, or pricing experience.Geospatial analytics / H3 or S2Metric stores, semantic layers, experimentation platforms, or analytical observability.Experience: Data analytics: 5 years (Required)Work Location: Remote
• Own day-to-day Data Analyst Advanced Analytics 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.
• Support audits, governance checks, or compliance requirements where process accuracy matters.

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.