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Operations Analyst

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Onsite

Operations Analyst

Net Avenue

Operations Analyst

Skills

E-commerce WebsitesData AnalysisAIInventory ManagementSupply ChainDigital Transformation

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹300,000 – ₹500,000 / year

Location:

Surat, Gujarat, India

Work mode:

Onsite

Published on:

9 September 2026

What they need


Position: Business Excellence Executive / Analyst Fashion Operations & ERP
Experience: 13 Years
Qualification: B.FTech (Bachelor of Fashion Technology) – Apparel Production
Industry: Fashion / Apparel / E-commerce
Location: Surat / Gujarat
Department: Business Excellence / Operations

About the Role

We are looking for a Business Excellence Executive / Analyst with a strong understanding of apparel manufacturing, fashion operations, process improvement, and ERP systems.

The ideal candidate will act as a bridge between Business/Operations and IT, helping the organisation identify process gaps, improve operational efficiency, and translate business requirements into effective ERP and technology solutions.

Candidates with a B.FTech (Bachelor of Fashion Technology) in Apparel Production, particularly from NIFT or other reputed fashion technology institutes, will be preferred.

Key Responsibilities

  • Understand and analyse existing business and operational processes across the fashion/apparel value chain.
  • Identify process gaps, inefficiencies, bottlenecks, and opportunities for automation and improvement.
  • Work closely with Operations, Merchandising, Sourcing, Production, Quality, Supply Chain, E-commerce, and IT teams.
  • Translate operational requirements into clear business requirements, process documents, and Product Requirement Documents (PRDs).
  • Coordinate with IT/ERP teams for system enhancements, modifications, integrations, and implementation.
  • Understand ERP workflows and identify opportunities to improve system-driven processes.
  • Analyse operational data using Advanced Excel and other analytical tools to identify trends and improvement opportunities.
  • Support production planning, inventory management, vendor processes, quality management, and other operational functions through process optimisation.
  • Map existing (AS-IS) and proposed (TO-BE) processes and prepare process flow documentation.
  • Participate in ERP implementation, testing, UAT, issue identification, and process validation.
  • Work with stakeholders to understand business problems and convert them into practical technology/process solutions.
  • Monitor the effectiveness of implemented processes and recommend continuous improvements.
  • Prepare MIS, dashboards, reports, and management presentations related to operational performance.
  • Support cross-functional projects related to Business Excellence, Digital Transformation, Process Automation, and ERP optimisation.

Required Skills

  • Strong understanding of Apparel Manufacturing / Fashion Operations.
  • Knowledge of Production Planning and Industrial Engineering concepts.
  • Good understanding of ERP systems and business processes.
  • Experience or exposure to ERP implementation / ERP enhancement projects.
  • Strong Advanced Excel skills including data analysis, Pivot Tables, VLOOKUP/XLOOKUP, dashboards, and reporting.
  • Good analytical and problem-solving abilities.
  • Ability to understand complex operational processes and identify improvement opportunities.
  • Ability to prepare process maps, SOPs, BRDs/PRDs, and requirement documents.
  • Good communication and stakeholder-management skills.
  • Ability to work effectively with both business/operations teams and IT teams.
  • Interest in technology, automation, AI, IoT, and digital transformation will be an added advantage.

Preferred Educational Qualification

Mandatory / Preferred:

  • B.FTech – Bachelor of Fashion Technology
  • Specialisation in Apparel Production / Apparel Manufacturing
  • Graduates from NIFT will be preferred.
  • Candidates from other reputed institutes with equivalent Fashion Technology / Apparel Production backgrounds may also be considered.

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