Aniket Salunkhe

Data Analyst @ Amazon | SQL, Python, AWS Analytics, Data Visualization (Immediate Joiner #OpenToWork)

Role
Data Analyst at Amazon
Location
Pune Division, MH, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Aniket Salunkhe

Currently working as a Data Analyst at Amazon with 5+ years of experience delivering analytics across e-commerce, payments, pricing, cost, and compliance domains. Key contributor to initiatives including the Outlier Management Portal (OMP), Manager Performance Monthly Tracking System, Social Media CS-Ops Reporting System, and N2A skill launch, along with multiple global analytics programs.I specialize in SQL-driven analytics, Advanced Excel modeling, Python-based automation, and BI dashboarding, focused on transforming complex datasets into actionable insights, cost savings, and revenue protection while supporting data-driven decisions and policy compliance.Core Expertise & Impact:• Designed and maintained scalable BI dashboards using Amazon QuickSight, Tableau, and Power BI to track compliance, operational performance, pricing trends, and risk indicators across Worldwide Customer Service.• Developed advanced SQL datasets and models using CTEs, window functions, complex joins, and performance tuning to support BAU reporting, ad-hoc analysis, and leadership reviews.• Performed deep-dive, trend, and anomaly analyses to identify process gaps, cost-reduction opportunities, revenue leakage, and compliance risks.• Delivered analytics across e-commerce journeys including concessions, returns, contact drivers, abuse prevention, and transaction-risk workflows.• Led pricing, tariff, and cost-impact analysis by designing threshold- and limit-based frameworks, contributing to initiatives that delivered ~USD 300K reduction in revenue spend.• Built advanced Excel models (Pivot Tables, Power Query, complex formulas, scenario analysis) for cost modeling, impact assessments, MIS reporting, and executive summaries.• Automated analysis using Python (Pandas, NumPy) for data validation, reconciliation, anomaly detection, and large-scale pricing and cost calculations.• Engineered automated data pipelines using SQL, AWS Glue, and AWS Lambda, ensuring audit-ready accuracy and reduced manual effort.• Partnered with finance, operations, compliance, data engineering, and global teams to align analytics with internal policies and pricing rules.• Produced Worldwide Business Reviews (WBRs) and leadership presentations with clear storytelling and quantified business impact.I bring strong analytical depth, attention to detail, and stakeholder communication skills, and thrive in roles where analytics directly influence pricing strategy, cost optimization, compliance, and revenue outcomes.

Experience

  1. Data Analyst

    Amazon

    Aug 2021 — Present · Pune, IN

    Contributed to major analytics initiatives including Manager Performance Monthly Scorecards, Outlier Management Portal (OMP), New 2 Amazon (N2A), and the Social Media Metrics Tracking System, supporting data-driven decision-making across global operations, compliance monitoring, cost control, and risk identification.• Designed and implemented quality and productivity metrics across Worldwide Customer Service by building scalable data pipelines and dashboards, enabling leadership visibility into operational performance, efficiency gaps, and cost-impacting behaviors across regions.• Acted as a central point of contact for analytics and reporting needs across Worldwide Customer Service, partnering with Concession Abuse Prevention, Amazon Customer Excellence System (ACES), CS Operations, Customer Experience, and multiple product and program teams to support pricing controls, abuse prevention, and policy-aligned decision-making.• Worked with healthcare and pharmacy-related datasets, including US healthcare and India pharma data, ensuring accurate entity mapping, metric definitions, and data consistency across analytical and reporting layers to support compliance-sensitive and regulation-driven reporting requirements.• Supported analytics use cases involving sensitive and high-impact data by following structured data validation, quality checks, reconciliation, and documentation practices to maintain data reliability, audit readiness, and compliance with internal policies.• Delivered insights across diverse business domains by translating complex operational, financial, and risk-related requirements into scalable SQL logic and reporting frameworks aligned with evolving business, pricing, and compliance needs.

Education

  • Jawahar Navodaya Vidyalaya - JNV

    Higher Secondary Certificate

  • Indian Institute of Technology, Roorkee

    Executive Post Graduate Certification, Data Science & Artificial Intelligence

  • Jawahar Navodaya Vidyalaya - JNV

    Senior School Certificate

  • Fergusson College, Pune

    Bachelor of Science - BS, Mathematics

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Aniket Salunkhe — Data Analyst at Amazon in Pune Division, MH, IN | Unifers