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Sales Operations Senior Analyst

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Onsite

Sales Operations Senior Analyst

NTT DATA BUSINESS SOLUTIONS

Sales Operations Senior Analyst

Skills

Sales OpsAIComplianceDigital Transformation

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

21 August 2026

What they need


Job Summary

Responsible for converting complex company, industry, and technology information into actionable insights that enable strategic account planning, pursuit excellence, and client engagement.

This role demands deep expertise in secondary research, business-technology understanding, stakeholder management, and project delivery. The incumbent will lead research and analysis initiatives, and ensure the consistent delivery of high-quality client intelligence materials to Sales and GTM teams.

Key Responsibilities

  • Research Insight Generation
    • Conduct in-depth secondary research using company filings, investor presentations, earnings call transcripts, analyst reports (Gartner, McKinsey, IDC, etc.), and industry publications.
    • Develop client intelligence outputs including company profiles, strategic assessments, financial analyses, and digital transformation narratives.
    • Have a broad understanding of the enterprise IT landscape - such as cloud, digital and application services, data, AI, and related emerging technologies - to interpret business and technology linkages effectively.
    • Identify CxO priorities, transformation themes, and whitespace opportunities aligned with NTT DATAs service offerings.
    • Ensure insights are structured, contextual, and outcome-oriented, supporting executive engagements and pursuit discussions.
  • Project Vendor Management
    • Manage day-to-day research operations, including task allocation, project tracking, and delivery governance.
    • Oversee multiple concurrent assignments, ensuring projects are delivered ahead of or within agreed timelines.
    • Maintain accurate documentation, trackers, and dashboards for visibility into project status and pipeline contribution
  • Process Quality Excellence
    • Lead continuous improvement by refining templates, frameworks, and taxonomies to enhance insight quality and consistency.
    • Leverage GenAI and automation tools to accelerate research efficiency and standardization.
    • Ensure data accuracy, sourcing integrity, and adherence to NTT DATAs compliance and confidentiality guidelines.
    • Act as the final quality checkpoint, ensuring research outputs meet brand, tone, and analytical standards.

Required Skills Competencies

  • Minimum 4 years of experience in secondary research, client insights, or market intelligence within IT services, consulting, or business research domains.
  • Strong understanding of the business side of technology - connecting enterprise IT priorities with business outcomes.
  • Good grasp of the enterprise IT landscape to contextualize insights and opportunities effectively.
  • Proven ability to track, quantify, and communicate the business impact of insights on pipeline and opportunity generation.
  • Excellent analytical, writing, and storytelling skills with a sharp eye for data accuracy and executive relevance.
  • Proficiency in Microsoft Office (PowerPoint, Excel, Word).
  • Strong multitasking, prioritization, and communication skills with attention to detail and outcome orientation.

Qualifications

  • Bachelors or Masters degree in Business, Economics, Management, or related discipline.
  • 4-5 years of relevant experience in business research, client intelligence, or market analysis, preferably within IT services or consulting organizations.

Key Attributes

  • Business-curious and insight-driven, with a strong grasp of technologys role in driving enterprise transformation.
  • High accountability and ownership of delivery quality and stakeholder outcomes.
  • Structured thinker and effective communicator with excellent presentation skills.
  • Collaborative mindset with the ability to influence across teams and geographies.
  • Professional integrity and confidentiality in handling client-sensitive data.

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