Sales Operations Senior Analyst

NTT DATA BUSINESS SOLUTIONS; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS in Bengaluru seeks a Research Insights professional to translate complex business and technology information into actionable insights for strategic account planning and client engagement.

You will lead secondary research initiatives, develop client intelligence outputs, and ensure high-quality materials for Sales and GTM teams, with emphasis on automation and data accuracy.

Qualifications

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

Responsibilities

• Research Insight Generation: Conduct in-depth secondary research using filings, investor materials, analyst reports, and industry publications.
• Develop client intelligence outputs including profiles, assessments, financial analyses, and digital transformation narratives.
• Interpret enterprise IT landscape to link cloud, data, AI with business outcomes.
• Identify CxO priorities and whitespace opportunities aligned with NTT DATA's offerings.
• Ensure insights are structured, contextual, and ready for executive engagements.
• Oversee day-to-day research operations, task allocation, and delivery governance.
• Manage multiple assignments, ensuring timely delivery and visibility via trackers and dashboards.
• Lead quality improvements by refining templates and taxonomies; use GenAI to accelerate work.
• Ensure data accuracy, sourcing integrity, and confidentiality compliance.

Skills

Secondary research

Client insights

Market intelligence

Executive communication

Project management

Multitasking

Microsoft Office

Education

Bachelor’s or Master’s degree in Business/ Economics/ Management

Tools

Microsoft Office (PowerPoint, Excel, Word)

Job description

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.