Analyst – Intelligence & Advisory

Key Responsibilities

Problem Solving & Advisory Support

• Translate pursuit, account, and client questions into structured problem statements, hypotheses, and research plans. Clarify scope, success criteria, and timelines with stakeholders upfront.
• Apply consulting frameworks (e.g., MECE issue trees, hypothesis-driven analysis, value-chain assessments) to break down complex problems and arrive at defensible answers.
• Exercise sound judgment when data is incomplete—triangulate across sources, state assumptions, size opportunities, and flag confidence levels. Always answer the “so what” with a recommendation, not just data.
• Support pursuit and advisory engagements by delivering market insights, competitive benchmarking, and strategic guidance that shape deal strategy and client conversations.

Research Delivery & Insights

• Own end-to-end delivery of research products like Market Size & Outlook, Industry/Technology POVs, Account Intelligence Packs, Competitive Profiles, Buying Behavior Analysis, and Benchmark Reports.
• Synthesize intelligence from primary and secondary sources (e.g., Gartner, Everest Group, Hoovers, AlphaSense) into crisp, executive-ready insights.
• Track competitor strategies, partnerships, and deal signals, translating them into actionable pursuit positioning.
• Analyze market dynamics in Applications, Cloud, Infrastructure, AI, Cybersecurity, and Digital Workplace to assess business needs and technology linkages.
• Build account-level intelligence for strategic account planning, C-suite engagement, and opportunity identification.
• Validate sources for accuracy, credibility, and relevance; maintain high standards of referencing across all deliverables.

Reporting, Dashboards & AI-Enabled Research

• Design, build, and maintain interactive dashboards in Power BI and lightweight HTML (e.g., competitor trackers, account/market views).
• Clean, model, and visualize data from multiple sources (Excel, databases, analyst-platform exports) with clear metric definitions.
• Use AI tools and agents to automate research workflows (e.g., source scanning, summarization) while validating every output for accuracy and bias.
• Build reusable prompts and agent workflows, ensuring responsible AI use and sharing best practices.

Storytelling & Visual Communication

• Convert research findings into answer-first storylines and CXO-level communications that persuade.
• Build polished, consulting-grade decks and visualizations using AHEAD’s brand-compliant templates.
• Present findings to senior stakeholders with confidence, handling questions and pushback effectively.

Stakeholder Partnership

• Act as a day-to-day research partner for consulting, sales, and practice teams, translating business needs into hypothesis-led research.
• Manage multiple concurrent requests, balancing standard reports with high-urgency support while maintaining quality and timelines.
• Anticipate intelligence needs across the pursuit lifecycle and incorporate stakeholder feedback into future work.
• Collaborate with subject-matter experts to align research with account goals.

Team Contribution, Tools & Continuous Improvement

• Contribute to reusable assets like research templates, source libraries, and frameworks that extend research output into AHEAD IP.
• Shape the CoE’s research agenda by identifying priority topics, data gaps, and new content ideas.
• Track delivery metrics (turnaround time, quality, stakeholder satisfaction) and contribute to win/loss learnings.
• Mentor junior analysts, sharing domain knowledge and research methods to raise team capability.

Qualifications & Experience

• Experience: 3-5 years in research, market/competitive intelligence, deal advisory, or strategy/management consulting (excludes BPO industry).
• Education: Bachelor’s degree required; master’s in management from a reputed institution is preferred.
• Domain Expertise: Strong understanding of IT services, enterprise technology (e.g., Cloud, AI, Cybersecurity, Digital Transformation), and at least one vertical domain.
• Problem Solving: Proven ability to break down ambiguous questions into structured problems, test hypotheses, and reach clear conclusions.
• Consulting Skills: Consulting-style approach to scoping, framing, and answering stakeholder questions with storytelling and recommendations.
• Tools Proficiency: Power BI, Excel, Tableau, Alteryx, Qualtrics (plus knowledge of AI agents and generative AI tools).
• Communication: Excellent written and verbal skills for executive-level summaries and presentations.
• Research Proficiency: Hands-on experience with secondary research platforms (e.g., Gartner, Everest Group) and converting research into structured findings.
• Curiosity & Ownership: Intellectual curiosity, comfort with ambiguity, and drive to uncover insights that influence decisions.
• Organizational Rigor: Ability to manage multiple deliverables with competing priorities while maintaining quality.
• Collaboration: Consultative mindset and trusted relationships with cross-functional teams.
• RFP/Proposal Experience: Exposure to RFP support or pursuit enablement within consulting/tech firms.