Senior Analyst

Summary

Guidepost is seeking an experienced data analyst with a sound understanding of technology and complex matters to work for its Technology Advisory Services practice based out of our Washington DC office.

They will be responsible for consulting services as it relates to monitorships and investigations. A successful candidate will hold a college degree and possess experience or aptitude in all aspects of technology consulting and data analysis, including but not limited to the collection and synthesis of data, spreadsheet and database creation, and SQL and Python programming. Candidates will acquire skills in designing and executing solutions to complex financial problems, as well as analyzing complex data sets from relevant financial, transactional, survey, and other data systems. They may lead projects and be responsible for overall project management and execution.

Core Responsibilities

• Utilizing forensic and data mining tools to search, recover, sort, and organize large amounts of data in all phases of a monitorship or investigation
• Applying accounting, financial, and analytical skills to various client situations and practice disciplines
• Organizing information to facilitate effective data access and analysis, including designing and implementing complex databases
• Maintaining detailed work-paper records of assumptions, methodologies, and information sources employed during the performance of all analytical tasks
• Preparing drafts of written analyses, presentations, reports, and exhibits for third parties on the project scope and/or results of activities
• Performing the day-to-day activities of projects including interaction with client personnel, internal members, and professionals from other firms involved in the engagement

Competencies

• Data manipulation, analysis, and interpretation
• Statistical modelling
• Data visualization
• SQL
• Python
• Understanding of ETL processes, data pipelines, and working with structured/unstructured data
• Familiarity with cloud services like AWS, Azure, or Google Cloud for data storage and analytics

Preferred Education and Experience

• Bachelor’s degree, required
• 3-5 years professional experience with 1 or more of the following:
• SQL
• Python
• Cloud platforms for data storage and analytics
• Code storage and management solutions
• Strong quantitative and analytical skills, with a background in fields such as Computer Science, Mathematics, Statistics, MIS, Economics, Finance, Accounting, or Engineering
• Proven problem-solving and decision-making abilities
• Exceptional written and verbal communication skills
• Detail-oriented with the ability to fully document analysis and findings
• Demonstrated ability to manage multiple tasks and prioritize effectively in a dynamic, fast-paced environment
• Client service-oriented with a focus on continuous process improvement and adaptability

Position Type/Expected Hours of Work

This is a full-time position. Days and hours of work are generally Monday through Friday, 9 a.m. to 6 p.m. This position may require long hours and weekend work.

Travel

Travel out-of-area to other regional offices and overnight travel is expected.

Physical Requirements

While performing the duties of this job, much of the work may be done sitting at a desk, using a computer, typing, handling phone calls, filing, and using office equipment such as like printers and copiers. The employee must occasionally lift or move office products and supplies, up to 20 pounds.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Salary Range

The base annual salary range offered for this position is based on multiple factors, including job-related skills and knowledge, experience, specific location, relevant education and/or training. In addition to the annual salary, we offer a full benefits package.

Guidepost Solutions is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, national origin, age, disability, or genetic information or any other characteristic protected by law.