Business Analyst

Assist Accounting Manager with analyses of ongoing financial activity for the Bond Program. Prepare and/or review vendor files or other supporting documentation for vendor payments. Conduct regular review and analysis of detailed transactions residing in the Bond program accounting software (Deltek Costpoint). Assist Accounting Manager in identifying errors and develop innovative approaches to minimize risk of repeat discrepancies. Develop new reports to help provide transparency into Bond Program expenditures. Review Bond Program invoices and process approved payables per accounting procedures. Enter invoice payment requests into program accounting software. Communicate with applicable construction and professional services vendors as needed. Identify discrepancies or inconsistencies and resolve expeditiously. Reconcile financial accounts. Assist in processing of general contractor’s payment analysis. Analyze monthly accounting reports in order to maintain expenditure controls. Work directly with outside team members on cost and invoice commitments and expenditure matters. Prepare and process journal entries. Work effectively with other department personnel in order to resolve any invoice payment issues and obtain signatures of authorization on invoice matters. Evaluate and ensure bond compliance in regard to payment requests. Ability to work independently and in a team environment. Ability to work in a fast-paced environment  Good communication and presentation skills. Requirements 3 years of accounting work experience. Bachelor's degree. Additional qualifying experience in excess to the minimum stated above may be substituted for the required education on a year for year basis. Ability to work with business enterprise software. Ability to perform historical trend analysis. Ability to create and analyze reports.

Cyber Technical Analyst Advisor (Technical Targeter) Chantilly, VA Active TS/SCI w/ FS Poly REQUIRED This project is supporting a mission critical group dealing with data vital to Homeland Security Requirements Demonstrated experience supporting IC cyber activities Demonstrated experience in targeting Demonstrated experience targeting tools Demonstrated experience evaluating large amounts of data Demonstrate experience with coordinating and collaborating with other IC agencies Demonstrated experience with strong analytic writing and briefing skills Demonstrated experience with having Chinese language Benefits • Vacation – 5 weeks of accrued paid vacation per year (i.e., 8.33 hours accrued per pay period worked) • Holidays - Paid holidays published annually by the Office of Personnel Management, excluding Inauguration Day • 100% paid for Health Benefits* (United Healthcare, Guardian Dental, VSP Vision, MetLife, Life and Disability Insurance and annual $1500 employer HSA contribution on qualified plans) *health benefits kick in the 1st of the month following your start date • 6% 401k Contribution (3% paid out during each pay period, the additional 3% will be paid out as a lump sum in Q1 each year) • Training Reimbursement – Approved training and education expenses will be reimbursed • Travel Expenses – Approved travel expenses will be reimbursed *Note – From time to time, the company may change employee benefits.

Best Consideration Date: Friday, August 1, 2025 PURPOSE OF POSITION: The Senior Data Insight Analyst plays a critical role in developing the insights and predictive analytics needed to support data-informed decision making across the University System of Maryland (USM). The responsibility of this position is full ownership of data projects, from problem definition to modeling, visualization, and documentation. The Senior Data Insight Analyst works closely with cross-functional teams to manage and analyze data; develop predictive models and algorithms; and translate data insights into strategic recommendations for USM leadership and stakeholders across the System. RESPONSIBILITIES: Predictive Modeling & Advanced Analytics: Develops and deploys predictive models (e.g., for enrollment projections, retention, workforce development) using Python/R and SQL. Conducts independent data analyses and builds visual reports to support institutional decision-making at the system level. Data Management & Engineering: Extracts, cleans, and manages data from data warehouse and ancillary databases. Designs and maintains scalable, well-documented data pipelines and analytical solutions. Validates data accuracy and ensures consistency across reporting systems. Collaboration & Strategic Support: Collaborates with departments and institutions to support strategic planning, student success, and outcome assessments. Assists, reviews, and contributes to Maryland Higher Education Commission (MHEC) reporting and data management. Documentation & Governance: Documents analytical processes, model logic, and data workflows for reproducibility and transparency. Upholds data governance, privacy, and equity-focused modeling practices. ANNUAL SALARY: $95,000-$120,000 Requirements MINIMUM QUALIFICATIONS: Required Education Level/Certifications: Bachelor’s degree in Data Science, Statistics, Computer Science, Social Sciences, or related field. Required Experience: 3 years of experience in data analytics, institutional research, or a related role. At least 1 of those 3 years must include hands-on work in predictive analytics Required Knowledge/Skills/Abilities: Proficiency in SQL and Python or R for data modeling and analysis. Skill in building predictive models and translating insights into strategic recommendations. Strong written and verbal communication skills, with the ability to convey technical content to non-technical audiences. Ability to communicate clearly and respectfully across different roles, technical backgrounds, and organizational levels. Ability to work independently and collaboratively in a deadline-driven, fast-changing environment. Ability to integrate predictive outputs into decision tools such as Power BI dashboards. High attention to detail and a strong commitment to data accuracy and integrity. Demonstrated ability to manage sensitive information with professionalism and discretion. Curiosity and a desire to explore beyond the immediate task to uncover deeper insights. Willingness to learn and adapt to new tools, technologies, and approaches. PREFERRED QUALIFICATIONS: Preferred Education Level/Certifications: Master’s degree in Data Science, Statistics, Computer Science, Social Sciences, or related field. Preferred Experience: Experience in higher education analytics. Preferred Knowledge/Skills/Abilities: Understanding of data ethics, bias mitigation, and data privacy best practices. Skill in the use of AI tools and techniques (e.g., machine learning, natural language processing, or generative AI) to enhance data analysis, uncover insights, and support decision-making. Skill in the use of Power BI, including data modeling, DAX, and visual storytelling. Knowledge of federal and state reporting requirements and familiarity with the higher education landscape, including enrollment trends, student outcomes, and policy frameworks. Benefits Paid Leave: 22 days of annual leave, 15 days of sick & safe leave, 15 holidays, 3 personal leave days, 12 weeks paid parental leave Health Benefits: Comprehensive medical, dental, and vision coverage with flexible spending accounts. Retirement Plans: Mandatory and supplemental options with major providers like Fidelity and TIAA. Life Insurance: Optional term life and AD&D benefits through MetLife. Tuition Benefits: Tuition remission for employees and their families. Training & Development: Free professional development conferences and unlimited LinkedIn Learning access. Credit Union Access: Membership eligibility for SECU, Maryland’s largest credit union. Employee Assistance Program (EAP): Free counseling, legal, financial, and work-life support services. Click to learn more.

Best Consideration Date: Friday, August 1, 2025 PURPOSE OF POSITION: The Senior Data Insight Analyst plays a critical role in developing the insights and predictive analytics needed to support data-informed decision making across the University System of Maryland (USM). The responsibility of this position is full ownership of data projects, from problem definition to modeling, visualization, and documentation. The Senior Data Insight Analyst works closely with cross-functional teams to manage and analyze data; develop predictive models and algorithms; and translate data insights into strategic recommendations for USM leadership and stakeholders across the System. RESPONSIBILITIES: Predictive Modeling & Advanced Analytics: Develops and deploys predictive models (e.g., for enrollment projections, retention, workforce development) using Python/R and SQL. Conducts independent data analyses and builds visual reports to support institutional decision-making at the system level. Data Management & Engineering: Extracts, cleans, and manages data from data warehouse and ancillary databases. Designs and maintains scalable, well-documented data pipelines and analytical solutions. Validates data accuracy and ensures consistency across reporting systems. Collaboration & Strategic Support: Collaborates with departments and institutions to support strategic planning, student success, and outcome assessments. Assists, reviews, and contributes to Maryland Higher Education Commission (MHEC) reporting and data management. Documentation & Governance: Documents analytical processes, model logic, and data workflows for reproducibility and transparency. Upholds data governance, privacy, and equity-focused modeling practices. ANNUAL SALARY: $95,000-$120,000 Requirements MINIMUM QUALIFICATIONS: Required Education Level/Certifications: Bachelor’s degree in Data Science, Statistics, Computer Science, Social Sciences, or related field. Required Experience: 3 years of experience in data analytics, institutional research, or a related role. At least 1 of those 3 years must include hands-on work in predictive analytics Required Knowledge/Skills/Abilities: Proficiency in SQL and Python or R for data modeling and analysis. Skill in building predictive models and translating insights into strategic recommendations. Strong written and verbal communication skills, with the ability to convey technical content to non-technical audiences. Ability to communicate clearly and respectfully across different roles, technical backgrounds, and organizational levels. Ability to work independently and collaboratively in a deadline-driven, fast-changing environment. Ability to integrate predictive outputs into decision tools such as Power BI dashboards. High attention to detail and a strong commitment to data accuracy and integrity. Demonstrated ability to manage sensitive information with professionalism and discretion. Curiosity and a desire to explore beyond the immediate task to uncover deeper insights. Willingness to learn and adapt to new tools, technologies, and approaches. PREFERRED QUALIFICATIONS: Preferred Education Level/Certifications: Master’s degree in Data Science, Statistics, Computer Science, Social Sciences, or related field. Preferred Experience: Experience in higher education analytics. Preferred Knowledge/Skills/Abilities: Understanding of data ethics, bias mitigation, and data privacy best practices. Skill in the use of AI tools and techniques (e.g., machine learning, natural language processing, or generative AI) to enhance data analysis, uncover insights, and support decision-making. Skill in the use of Power BI, including data modeling, DAX, and visual storytelling. Knowledge of federal and state reporting requirements and familiarity with the higher education landscape, including enrollment trends, student outcomes, and policy frameworks. Benefits Paid Leave: 22 days of annual leave, 15 days of sick & safe leave, 15 holidays, 3 personal leave days, 12 weeks paid parental leave Health Benefits: Comprehensive medical, dental, and vision coverage with flexible spending accounts. Retirement Plans: Mandatory and supplemental options with major providers like Fidelity and TIAA. Life Insurance: Optional term life and AD&D benefits through MetLife. Tuition Benefits: Tuition remission for employees and their families. Training & Development: Free professional development conferences and unlimited LinkedIn Learning access. Credit Union Access: Membership eligibility for SECU, Maryland’s largest credit union. Employee Assistance Program (EAP): Free counseling, legal, financial, and work-life support services. Click to learn more.

The Data Analyst has exceptional analytical capabilities, thrives in a fast-paced environment, and loves problem-solving.  They are responsible for delivering reporting and analysis to drive business decisions to influence our client strategy, sales effectiveness, and audience segmentation. Essential Tasks Performs analysis of workflows, data, system details, and other technical or business issues associated with marketing and student recruitment Design, implement, and manage the business intelligence infrastructure Shape and lead analysis practice by delivering the metrics that drive weekly, monthly, and quarterly performance for each client Provide technical and team leadership and coaching for our database management team Solve complex problems and develop solutions to tasks or projects which may be unique, using judgment and initiative Other duties as assigned Preferred Skills and Experience 2+ years of relevant professional experience required Bachelor’s Degree in relevant field Excellent understanding of Microsoft products (Word and PowerPoint) Excellent written and verbal communication skills – including presentation skills Ability to maintain effective working relationships fellow team members, employees, and management Must be organized and detail oriented Proven ability to maintain a high standard of confidentiality and autonomy This person will show strong attention to detail skills as well as ability to work collaboratively and independently. Proven self-motivation to take initiative and master new tasks quickly Comfortable with discussing algorithms and data structures as well as brainstorming about topics such as business opportunities Fluent in web-related technologies including, but not limited to: SQL, MongoDB, Tableau, Google Analytics The pay range for this position is $60,000-65,000/year; however, base pay offered may vary depending on job-related knowledge, geographic location, skills, and experience. This position is eligible for an annual bonus in addition to a full range of benefits. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Benefits Medical Insurance, Life Insurance, Dental Insurance, Vision Insurance, PTO, Paid Parental Leave, Paid Holidays, Short Term Disability, Long Term Disability, 401K, Educational Assistance    Jenzabar does not discriminate in employment opportunities or practices on the basis of race, color, sex, gender, gender identity, pregnancy, childbirth and related medical conditions, genetics, genetic markers and carrier status, creed, religion, national origin, ancestry, age, disability, medical condition, marital status, sexual orientation, military service, veteran status, or any other status protected by state and federal laws.   Please Note: Jenzabar does not sponsor applicants for work visas.

The Data Analyst has exceptional analytical capabilities, thrives in a fast-paced environment, and loves problem-solving.  They are responsible for delivering reporting and analysis to drive business decisions to influence our client strategy, sales effectiveness, and audience segmentation. Essential Tasks Performs analysis of workflows, data, system details, and other technical or business issues associated with marketing and student recruitment Design, implement, and manage the business intelligence infrastructure Shape and lead analysis practice by delivering the metrics that drive weekly, monthly, and quarterly performance for each client Provide technical and team leadership and coaching for our database management team Solve complex problems and develop solutions to tasks or projects which may be unique, using judgment and initiative Other duties as assigned Preferred Skills and Experience 2+ years of relevant professional experience required Bachelor’s Degree in relevant field Excellent understanding of Microsoft products (Word and PowerPoint) Excellent written and verbal communication skills – including presentation skills Ability to maintain effective working relationships fellow team members, employees, and management Must be organized and detail oriented Proven ability to maintain a high standard of confidentiality and autonomy This person will show strong attention to detail skills as well as ability to work collaboratively and independently. Proven self-motivation to take initiative and master new tasks quickly Comfortable with discussing algorithms and data structures as well as brainstorming about topics such as business opportunities Fluent in web-related technologies including, but not limited to: SQL, MongoDB, Tableau, Google Analytics The pay range for this position is $60,000-65,000/year; however, base pay offered may vary depending on job-related knowledge, geographic location, skills, and experience. This position is eligible for an annual bonus in addition to a full range of benefits. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Benefits Medical Insurance, Life Insurance, Dental Insurance, Vision Insurance, PTO, Paid Parental Leave, Paid Holidays, Short Term Disability, Long Term Disability, 401K, Educational Assistance    Jenzabar does not discriminate in employment opportunities or practices on the basis of race, color, sex, gender, gender identity, pregnancy, childbirth and related medical conditions, genetics, genetic markers and carrier status, creed, religion, national origin, ancestry, age, disability, medical condition, marital status, sexual orientation, military service, veteran status, or any other status protected by state and federal laws.   Please Note: Jenzabar does not sponsor applicants for work visas.