Senior Business Analyst

Job Description

Pay Range: $33.60/hr - $38.60/hr

• Bachelor's degree in Business, Finance, Accounting, Statistics or related field or an equivalent combination of education, training and experience.
• The candidate must possess the demonstrated ability to perform moderately complex quantitative analysis with the ability to gather, document, analyze and draw conclusions on data and information.
• The candidate will possess five to seven years of experience in the field of analysis.
• Responsible for developing strategies that support business need for efficient and effective use of best practices.
• Identify requirements, approach, solutions, costs, risks and options to address business need.
• Lead implementation activities of an initiative, application or feature set.
• Responsible for project documentation including definition, requirements, conversion, testing, implementation and training.
• Able to priorities initiatives by assessing business value for effort and develop options.
• Collaborates with vendor to understand product direction, release strategy, and timeframe.
• Maintain a broad knowledge of current and emerging state-of-the-art computer/network systems technologies, architectures and products.

• Perform detailed analysis on large amounts of contractor personnel data to ensure accuracy and identify discrepancies.
• Facilitate the cleanup of said discrepancies.
• Support the migration of different business areas into the Field & Contractor Oversight program.
• This includes identification and assessment of business needs, development and assignment of provisioning job templates, and verification all changes made timely and accurately.
• Addition, review and assess cybersecurity and phishing program data to identify trends and support the Sr Advisor in report outs with vendors and Senior Leadership

• Strong Advanced Microsoft Excel skills.
• Focus on Customer Service and user experience, Communication skills across multiple mediums (email, Teams, phone, in person meetings, etc.).
• Experience working with and performing analysis on large data sets with multiple data attributes.
• Demonstrated experience with managing multiple assignments and strong time management skills.