The Business Analyst Junior supports the IRS Saver’s Match program by conducting data analysis involving the collection and interpretation of quantitative/qualitative data to inform the development of the report to Congress and execution of the implementation activities. This role will also support the data analysis performed by the implementation teams by documenting, analyzing, and interpreting the latter’s findings. Leverage insights gleaned from similar promotional/implementation efforts, the business analyst will analyze data relevant to and from previous IRS promotion/implementation efforts to identify best practices. The business analyst will also analyze the audience and audience-related data to identify audience communication gaps and needs and to aid in the development and selection of promotional/implementation activities.

This position performs all duties and responsibilities in accordance with the Mission, Vision, and Core Values of Cayuse.

• Meet with Government clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans.
• Provide meeting support to meetings involving other stakeholders from TS, IRS IT, Chief Counsel, Privacy, Governmental Liaison and Disclosure (PGLD), Taxpayer Experience Office (TXO), Office of Online Services (OLS) and others.
• Provide support for internal and external communication activities.
• Provide support for the development of a report summarizing anticipated promotion efforts for the Saver’s Match contribution due to Congress.
• Develop recommendations based on completed research and analysis and present these recommendations to government clients.
• Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with technical and non-technical backgrounds
• Takes ownership of tasks and develops high-quality work products with minimal supervision
• Other duties as assigned.
• Bachelor’s in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience.
• Experience with at least one object-oriented programming language (e.g., Python, Java, JavaScript).
• Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL).
• Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required.
• At least 1 year of experience using data mining methods, such as clustering or anomaly detection, understanding data patterns, and selecting appropriate predictive techniques in an academic or professional setting.
• At least 1 year of experience designing and building mathematical models using techniques such as logistic regression, decision trees, or random forests in an academic or professional setting.
• Public Trust Clearance is required.
• Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.

MINIMUM SKILLS:

• Strong collaboration skills and ability to work well in a team environment
• Excellent verbal and written communication skills.
• Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans.
• Strong client and team interaction skills.
• Critical thinker with excellent attention to detail
• Proficient in MS Office, Word, Outlook, PowerPoint, and Excel.

WORKING CONDITIONS

• Professional remote office environment.
• Must be physically and mentally able to perform duties extended periods of time.
• Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position.
• Must be able to establish a productive and professional workspace.
• Must be able to sit for long periods of time looking at computer screen.
• May be asked to work a flexible schedule which may include holidays.
• May be asked to travel for business or professional development purposes.
• May be asked to work hours outside of normal business hours.
  Other Duties: Please note this job description is not designed to cover or contain a comprehensive list 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.

• Meet with Government clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans.
• Provide meeting support to meetings involving other stakeholders from TS, IRS IT, Chief Counsel, Privacy, Governmental Liaison and Disclosure (PGLD), Taxpayer Experience Office (TXO), Office of Online Services (OLS) and others.
• Provide support for internal and external communication activities.
• Provide support for the development of a report summarizing anticipated promotion efforts for the Saver’s Match contribution due to Congress.
• Develop recommendations based on completed research and analysis and present these recommendations to government clients.
• Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with technical and non-technical backgrounds
• Takes ownership of tasks and develops high-quality work products with minimal supervision
• Other duties as assigned.
• Bachelor’s in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience.
• Experience with at least one object-oriented programming language (e.g., Python, Java, JavaScript).
• Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL).
• Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required.
• At least 1 year of experience using data mining methods, such as clustering or anomaly detection, understanding data patterns, and selecting appropriate predictive techniques in an academic or professional setting.
• At least 1 year of experience designing and building mathematical models using techniques such as logistic regression, decision trees, or random forests in an academic or professional setting.
• Public Trust Clearance is required.
• Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment