Consulting Analyst Resume Example & Writing Guide

Use this Consulting Analyst resume example and guide to improve your career and write a powerful resume that will separate you from the competition.

Consulting analysts help companies solve complex problems by identifying issues, researching possible solutions, and recommending courses of action. They work with clients to identify business challenges and opportunities, analyze data to identify trends and predict outcomes, and develop recommendations based on their findings.

Consulting analysts play an integral role in shaping the future of organizations by helping them identify opportunities, solve problems, and achieve their goals. They’re often called upon to make things happen—which means they need to be confident, persuasive, and able to work well under pressure.

When you’re ready to make your next move in the world of consulting, you’ll need a compelling resume to help you stand out from the pack. Here are some tips and an example resume to help you write yours.

Jennifer Thomas
Houston, TX | (123) 456-7891 | [email protected]

Driven business analyst with experience in management consulting and financial analysis. Excels at problem solving, data analysis, and process improvement. Proven track record of working with senior executives to deliver actionable insights and recommendations.

The University of Texas at Austin Jun '10
B.S. in Business Administration
Company A, Consulting Analyst Jan '17 – Current
  • Developed and implemented a new pricing model for the company’s flagship product, resulting in an increase of $1M in annual revenue.
  • Conducted extensive market research to identify competitors’ strengths and weaknesses, leading to the development of a comprehensive growth strategy that increased sales by 20% within 6 months.
  • Led a team of 5 analysts to develop strategies for increasing customer retention rates by 10%. The project resulted in over $100K in savings per month through reduced churn rate and improved efficiency.
  • Created a dashboard displaying key metrics such as monthly recurring revenue (MRR) and average deal size (ADS), which allowed management to track progress on initiatives at any time during the day or week.
  • Analyzed data from multiple sources including Google Analytics, Salesforce CRM, QuickBooks Online, etc., using Excel VLOOKUP functions and pivot tables to create reports used daily by top-level executives across all departments.
Company B, Consulting Analyst Jan '12 – Dec '16
  • Provided daily support to over 100 users, including troubleshooting hardware and software issues, resolving security problems and responding to general questions
  • Conducted regular system monitoring and reporting on the status of critical systems for optimal performance
  • Created detailed documentation for all projects completed in accordance with company standards
  • Developed a new project management methodology that improved efficiency by 25%
  • Reduced operating costs by negotiating better pricing from vendors for supplies and services
Company C, Consultant Jan '09 – Dec '11
  • Led and managed multiple projects concurrently while adhering to strict deadlines.
  • Communicated with clients regularly to provide updates on project status, address concerns, and ensure customer satisfaction.
  • Conducted research and analysis to support projects and make recommendations to clients.
  • Certified in Data Science
  • Certified Analytics Professional
  • Certified Business Intelligence Professional

Industry Knowledge: Project Planning, Resource Management, Project Management, Financial Analysis
Technical Skills: Microsoft Office Suite, Project, Salesforce, Tableau, QuickBooks, Zendesk, Google Analytics, Google AdWords
Soft Skills: Communication, Leadership, Motivation, Teamwork, Problem Solving, Critical Thinking, Creativity

How to Write a Consulting Analyst Resume

Here’s how to write a resume of your own.

Write Compelling Bullet Points

The best way to make your resume stand out is to use specific examples and numbers. So rather than saying you “provided consulting services for clients,” you could say you “provided consulting services for clients in the retail industry, resulting in a 15% increase in sales for client’s top-selling product line.”

The second bullet point is much stronger because it provides specific details about what you did, who you did it for, and the results of your work.

Identify and Include Relevant Keywords

When you apply for a job as a consulting analyst, your resume is likely to go through an applicant tracking system (ATS). This program will search for certain keywords related to the job, like “budgeting” or “strategic planning.” If your resume doesn’t have enough of the right terms, the ATS might automatically reject your application.

To increase your chances of getting an interview, use this list of keywords as a starting point to help you identify the most relevant skills and experience to include on your resume:

  • SQL
  • Tableau
  • Consulting
  • Microsoft SQL Server
  • Analytics
  • Data Analysis
  • Business Analysis
  • Python (Programming Language)
  • SQL Server Reporting Services (SSRS)
  • Business Intelligence (BI)
  • Data Visualization
  • Business Strategy
  • Microsoft Power BI
  • R (Programming Language)
  • Requirements Analysis
  • Extract, Transform, Load (ETL)
  • Data Analytics
  • Consulting Projects
  • Agile Methodologies
  • Scrum
  • Stakeholder Management
  • Oracle Database
  • PL/SQL
  • Java
  • Microsoft Access
  • Microsoft Project
  • Business Intelligence Tools
  • SQL Server Integration Services (SSIS)
  • Strategic Planning
  • Requirements Gathering

Showcase Your Technical Skills

As a consulting analyst, you will need to be proficient in the use of various software programs and systems in order to effectively do your job. This might include experience with data analysis software, project management software, and presentation software. Additionally, it is also beneficial to be familiar with a variety of programming languages, as this will allow you to better understand the data you are working with.


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