Market Intelligence Analyst

In this role, the analyst will work with other intelligence professionals and stakeholders to perform the following activities :

• Forming market and segment opportunity estimates
• Completing competitor or industry benchmarks

• Conducting process analysis and gathering business requirements
• Developing business cases and financial models to support transformation initiatives
• Facilitating stakeholder discussions and alignment across functions
• Preparing executive-level communications and recommendations
• Defining and tracking KPIs to measure progress and outcomes
• Supporting benefits realization and ensuring value is captured from transformation efforts.

The individual will use third-party sources as well as their own research to develop perspective supporting a specific business question or hypothesis. The analyst will present findings to executive and non-executive stakeholders and integrate activities into business management systems where appropriate.

Responsibilities

Problem framing & opportunity discovery

• Structure ambiguous business challenges into clear 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.

Market, Industry & Competitive Intelligence to facilitate project scoping

• Identify emerging technologies, disruptive trends, investment patterns, and potential market inflection points.

• Assess customer investment priorities, infrastructure requirements, and purchasing behavior.
• Translate customer signals into actionable business recommendations.
• Help produce competitive assessments.

Analysis and decision support

• Map current-state processes, operating models, capabilities, and pain points to define evidence-based 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 concise executive storylines, dashboards, decision papers, options, recommendations, and clear requests internally.

Stakeholder engagement

• 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 of reusable methods, models, insights, and lessons learned.

Basic Requirements

• Bachelor's degree in business, finance, economics, engineering, information systems, operations, or equivalent professional experience
• 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 modelling, scenario analysis, or benefits realization
• Demonstrated ability to structure complex problems, analyze quantitative and qualitative evidence, and develop clear recommendations.
• Demonstrated projects involving research, analytics, and storytelling.
• Strong facilitation skills to work across a diverse set of stakeholders and problem types.

Preferred Requirements

• Advanced capability in Excel and PowerPoint, with 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 is beneficial.
• Practical digital and AI literacy, including responsible use of AI to accelerate research, analysis, modelling, synthesis, and insight generation while validating outputs.

The ideal candidate is motivated by hypothesis-led problem solving, including performing research, developing models, creating and evaluating scenarios, authoring perspectives and presenting recommendations. Further, the ideal candidate is comfortable working on problems where there is always a level of uncertainty, regardless of information available. The candidate should have innate curiosity about topics within the IT industry, applying learnings to the projects and other activities. Candidates with high learning agility will be comfortable working on business problems with uncertain outcomes. Lastly, the candidate should be able to apply advancements in AI to responsibilities, adding efficiency and capability.