PERLab Business Analyst — Insight & Impact in Product

Net Impact

Chicago (IL)

On-site

USD 106,000 - 108,000

Full time

14 days+

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Benefits offered by this job

Retirement savings contributions
Medical insurance for employees and/​f
Learning and development opportunities
Flexible work programs
Home office stipend
Wellness program
Annual wellness program

Job summary

Kearney seeks a Business Analyst to support the Product Excellence and Renewal Lab (PERLab) in Chicago. You will conduct market, customer, and competitive research, build models, and craft concise analyses for client teams.

You will collaborate with SMEs, participate in interviews, present findings, and use AI thoughtfully while learning from feedback. 0–2 years of experience; a relevant degree is required.

Qualifications

  • Strong analytical reasoning and problem-solving skills.
  • Ability to translate complex information into actionable insights.
  • Clear communication and storytelling for diverse audiences.

Responsibilities

  • Conduct market, customer, competitor, product, service, technology, supplier, and business model research.
  • Support analyses of products, services, operations, costs, value chains and competitive positioning.
  • Build market-sizing models, business cases, analytical exhibits and structured fact bases.
  • Collaborate with subject-matter experts to understand analyses and implications.
  • Participate in interviews, problem-solving sessions and client meetings.
  • Develop concise presentations and communicate findings clearly to varied audiences.

Skills

Analytical reasoning
Research ability
Communication skills
Curiosity
Ownership mindset

Education

Bachelor's degree in engineering, business, economics, analytics, computer science

Job description

Kearney seeks a Business Analyst to support the Product Excellence and Renewal Lab (PERLab) in Chicago. You will conduct market, customer, and competitive research, build models, and craft concise analyses for client teams.

You will collaborate with SMEs, participate in interviews, present findings, and use AI thoughtfully while learning from feedback. 0–2 years of experience; a relevant degree is required.

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