Data Analyst

4 weeks ago

Pune, India Aziro Full time

Role Summary
We are seeking a highly motivated and analytical Analyst Hardware Returns Operations to
join our team. This role is essential to managing and improving the efficiency of hardware returns from customer and technician locations. It combines operational ownership with deep analytical capabilities to drive measurable improvements in return logistics.

The ideal candidate will have a strong understanding of reverse logistics, data analysis, and hardware operations, along with demonstrated experience in SQL and reporting tools. This is an exciting opportunity to grow into a full-time role within a fast-paced, innovative environment.

Key Responsibilities

Returns Authorization & Management

  • Review, process, and authorize hardware return requests from customers and field technicians.
  • Ensure compliance with internal return policies and SLA adherence.
  • Investigate and resolve return exceptions, partnering with logistics, field service, and inventory control teams.

Data Analysis & Reporting

  • Analyze hardware return use cases to identify trends, inefficiencies, and process gaps.
  • Build and maintain scalable data models and dashboards to support decision-making.
  • Use SQL to extract, manipulate, and analyze return data across systems.
  • Develop and track KPIs related to returns cycle time, cost, quality, and compliance.

Operational Initiative Support

  • Assist in the planning and execution of strategic return initiatives, including Bulk Return Campaigns.
  • Drive implementation of improvements to simplify and accelerate the returns process.
  • Support cross-functional collaboration between Supply Chain, Technical Services, Customer Support, and IT teams.
  • Document and improve standard operating procedures (SOPs) related to hardware returns.

Qualifications Required:

  • Bachelors degree in Engineering, Supply Chain, Operations, or a related field.
  • 5-10 years of experience in hardware operations, returns, or reverse logistics.
  • Strong SQL skills with the ability to create complex queries and optimize performance.
  • Experience building automated reports and dashboards (e.g., Tableau, Power BI,Looker).
  • Solid understanding of end-to-end hardware return processes.
  • Excellent analytical, communication, and cross-functional collaboration skills.

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