Market Intelligence Analyst

Lenovo•Morrisville, NC

About The Position

The Market Intelligence Analyst works with intelligence professionals and stakeholders to research and analyze business questions, market opportunities, industry trends, competitors, and internal operations. The analyst builds fact bases from third-party sources, original research, business data, and stakeholder input, then translates findings into recommendations for executive and non-executive audiences. The role supports transformation and investment decisions by analyzing processes, operating models, capabilities, and performance; developing business cases, financial models, scenarios, KPIs, and quantified options; and evaluating solutions for strategic fit, feasibility, value, and risk. The analyst also facilitates stakeholder alignment, supports execution planning, tracks benefits and outcomes, and contributes to post-implementation reviews and knowledge sharing.

Requirements

  • Bachelor’s degree in business, finance, economics, engineering, information systems, or operations, or equivalent professional experience.
  • At least 3 years of experience in business analysis, strategy, consulting, finance, operations, transformation, analytics, or process improvement.
  • Experience with process mapping, requirements analysis, external benchmarking, financial modeling, scenario analysis, or benefits realization.
  • Ability to structure complex problems, analyze quantitative and qualitative evidence, and develop clear recommendations.
  • Demonstrated project experience involving research, analytics, and storytelling.
  • Strong facilitation skills for working across diverse stakeholders and problem types.

Nice To Haves

  • Advanced capability in Excel and PowerPoint.
  • Experience using Power BI, Tableau, SQL, or comparable analytics and visualization tools.
  • Familiarity with Lean, Six Sigma, Agile, change management, or continuous-improvement methods.
  • Relevant certification such as CBAP or Lean Six Sigma.
  • Practical digital and AI literacy, including responsible use of AI for research, analysis, modeling, synthesis, and insight generation, with validation of outputs.
  • Curiosity about the IT industry, learning agility, and comfort working with uncertainty.

Responsibilities

  • Structure ambiguous business challenges into decision questions, hypotheses, analytical workplans, and decision criteria.
  • Build internal and external fact bases using business data, stakeholder input, market intelligence, competitor benchmarks, and best-in-class practices.
  • Identify emerging technologies, disruptive trends, investment patterns, and potential market inflection points.
  • Assess customer investment priorities, infrastructure requirements, and purchasing behavior, and translate customer signals into actionable recommendations.
  • Produce competitive assessments and complete competitor or industry benchmarks.
  • Map current-state processes, operating models, capabilities, and pain points to define future-state requirements and design principles.
  • Analyze operational, financial, customer, workforce, process, market, and portfolio data to identify trends, risks, and improvement opportunities.
  • Evaluate solution options against strategic fit, user needs, feasibility, value, and implementation risk, and validate solution integrity during delivery.
  • Develop business cases, scenarios, sensitivities, value bridges, KPIs, baselines, and quantified options to support prioritization and investment decisions.
  • Translate complex analysis into executive storylines, dashboards, decision papers, options, recommendations, and clear internal requests.
  • Translate approved recommendations into priorities, owners, milestones, governance inputs, and analytical requirements for execution teams.
  • Facilitate interviews, workshops, and working sessions to test hypotheses, align stakeholders, clarify requirements, and build ownership.
  • Track KPIs, benefits, risks, adoption, and performance; identify variance, value leakage, or emerging issues and recommend corrective action.
  • Support post-implementation reviews, business-as-usual handoff, and capture reusable methods, models, insights, and lessons learned.
  • Conduct process analysis, gather business requirements, prepare executive-level communications, and support benefits realization.
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