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Technical Solution Analyst (Support Domain)

MacroHire

0 - 3 years

Bengaluru

Posted: 09/06/2026

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Job Description

Job Profile-

Title- Technical Solution Analyst( Support Domain)

Location- Bangalore (Hybrid)

Exp- 8+ years


JD-

Roles and Responsibilities:

  • Enable digital transformation of support systems by aligning business, operations and technology
  • Evaluate industry technology landscape, discover tech stack, design solutions to solve business requirements
  • Ownership of end to end technology solutions projects
  • Identify solutions for customer self-service, automation, personalization, proactive support and seamless omnichannel experience
  • Knowledge of CRM, bug, messaging, collaboration, telephony, chat/bot, RPA systems required
  • Experience working on process improvements and re-engineering
  • Locate and define new process improvement opportunities
  • Improve adoption of deployed platforms, tools
  • Lead efforts to understand business needs, capture business requirements (BRD, define high level design, architecture and specifications of system.
  • Provide estimates, impact assessments, and give your expert opinion on key strategic initiatives.
  • Work with cross-functional teams to build data solutions that impact business decisions
  • Conducts and facilitate (and educates and trains on) analysis, issues identification, organizational risk assessment, and decision-making processes.


Required Experience/Background:

  • Masters/Bachelors degree in computer science, management information systems, data science/ML and related field or equivalent related experience
  • Overall 10+ years of experience, 5+ years data analyst or related experience, including proficiency with analytical software or equivalent related education
  • Good knowledge of large system, CRMs, bug systems, collaboration and messaging tools
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages databases , programming.

Proficiency in statistics, data analysis, and research methods

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