Overview
Technical skills – Proficiency in Microsoft Excel, Statistical analysis tools and techniques, and SQL/ETL Experience with data visualization using QuickSight, Tableau, or similar tools Experience defining requirements and using data and metrics to draw business insights You should be able to deal with a high degree of ambiguity You should be able to take a complex problem and break it down to smaller digestible chunks You should be able to define a logical and step by step approach to achieving a lofty goal You should be comfortable with processes and process design/analysis You should have the ability to influence without authority and do so by using data and facts You should be able to deal with varied stakeholders and earn their trust. Strong Analytical skills – has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, per
Full job description
Full Job Description
- Technical skills – Proficiency in Microsoft Excel, Statistical analysis tools and techniques, and SQL/ETL
- Experience with data visualization using QuickSight, Tableau, or similar tools
- Experience defining requirements and using data and metrics to draw business insights
- You should be able to deal with a high degree of ambiguity
- You should be able to take a complex problem and break it down to smaller digestible chunks
- You should be able to define a logical and step by step approach to achieving a lofty goal
- You should be comfortable with processes and process design/analysis
- You should have the ability to influence without authority and do so by using data and facts
- You should be able to deal with varied stakeholders and earn their trust.
- Strong Analytical skills – has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem Ability to navigate ambiguity and drive clarity for the team in evolving situations.
Key job responsibilities Drive daily execution of speed improvement initiatives across India's fulfillment network, monitoring 0D/1D/2D GVS metrics to meet customer promises. Lead cross-functional coordination between First Mile, Middle Mile, and Last Mile teams for program delivery. Analyze root causes of speed degradation and develop corrective action plans. Manage capacity planning and resource allocation supporting speed objectives. Partner with FC operations, transportation, and planning teams to resolve operational bottlenecks. Generate performance reports and dashboards for leadership review. Identify process improvement opportunities to reduce transit time variability. Escalate critical issues and communicate operational challenges to senior stakeholders.
About the team Your morning starts reviewing overnight delivery performance dashboards, identifying speed metric deviations across the network. You join the daily operations call with field ops to address capacity constraints and transit time delays. Mid-morning involves analyzing root causes for yesterday's speed drops in specific regions, coordinating with Last Mile partners on corrective actions. Afternoon is spent in cross-functional meetings planning next week's peak volume strategy and updating speed program trackers. You conduct a deep dive on persistent bottlenecks with your team, then prepare executive updates on weekly performance trends. Evening wraps with stakeholder emails and planning tomorrow's priorities.
Basic Qualifications
- 1+ years of data analytics or automation experience
- Bachelor's degree
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level
- Experience with data mining tools like SQL, SAS, SPSS, or similar
Preferred Qualifications
- 1+ years of capacity planning, operations planning, business analysis or similar experience
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Requirements & qualifications
1+ years of data analytics or automation experience Bachelor's degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level Experience with data mining tools like SQL, SAS, SPSS, or similar
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