Data Analyst Location: Arlington, Washington, United States Department:Government/Civilian General Information Requisition # 702 Locations USA-VA-Arlington Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Job Description: Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: consulting with technical and non-technical stakeholders, exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python, developing and deploying data visualization dashboards, and communicating data analysis results, dashboards and reports to end-users Responsibilities include but are not limited to: - Experience with cleaning, management and processing large volumes of data. - Experience building dashboards and reports using data visualization tools including Power BI, and Tableau. - Strong analytical and problem-solving skills with the ability to identify and address complex data issues. - Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability. - Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Minimum Qualifications: - Strong analytical and problem-solving skills with the ability to identify and address complex data issues. - 2+ years of Data Analysis or Data Management experience. - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences - Clearance Required - Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. - Understanding of databases and familiarity with database design. Preferred Qualifications: - Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields - Ideally located in the DC Metro area to attend regularly scheduled meetings - Statistical/Predictive Analysis - Domain Expertise (fraud) or management Clearance Requirements: - Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: - Must be able to remain in a stationary position 50% - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

Title: Data Analyst Location: Arlington United States Job Description: Data Analyst General Information - Requisition #: 677 - Locations: USA-VA-Arlington - Posting Date: 03/04/2026 - Security Clearance Required: IRS - MBI - Remote Type: Hybrid - Time Type: Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: - Consulting with technical and non-technical stakeholders - Exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python - Developing and deploying data visualization dashboards - Communicating data analysis results, dashboards and reports to end-users Responsibilities include but are not limited to: - Experience with cleaning, management and processing large volumes of data - Experience building dashboards and reports using data visualization tools including Power BI, and Tableau - Strong analytical and problem-solving skills with the ability to identify and address complex data issues - Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability - Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels Minimum Qualifications - Strong analytical and problem-solving skills with the ability to identify and address complex data issues - 2+ years of Data Analysis or Data Management experience - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences Clearance Required - Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data - Understanding of databases and familiarity with database design Preferred Qualifications - Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields - Ideally located in the DC Metro area to attend regularly scheduled meetings - Statistical/Predictive Analysis Domain Expertise (fraud) or management Clearance Requirements - Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements - Must be able to remain in a stationary position 50% - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations - Must be able to exchange accurate information in these situations About Elder Research, Inc - People Centered. Data Driven Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

• Preparing documentation for filing and/or associated correspondence. • Obtaining all proper supporting information and documentation to ensure proper, efficient administration of the file (including, but not limited to income and other tax filings, asset realizations). • Creating all documents required for signature • Accurately transferring pertinent information from written and scanned records into Ascend (our internal software). • Maintaining client confidence and protecting operations by keeping confidential information. • Electronic filing of statutory documents • Preparing documents for DocuSign • Other tasks may be assigned as necessary

Role Description The Graduate Teaching Assistant will support the course coordination and administration of the UBC Extended Learning Health Data Analytics Micro-certificate Program, a part-time, 100% online program designed for health professionals to learn foundations in data analytics in a health context. The program consists of 3 courses, each 5 weeks in duration. Each course is offered three times throughout the calendar year. We anticipate each course cohort to be up to 25 students. - Work with the Course instructor to ensure course content is up to date on Canvas (e.g. updating announcement dates, assignment due dates, Zoom office hours) - Respond to student’s questions in weekly discussions on Canvas - Mark submitted assignments according to provided rubrics with Gradebook and assign student final grades - Attend weekly office hours as needed (1 hour/week) - Fix and/or document any mistakes or issues identified with course content for future iterations Qualifications - Enrolled in a graduate program related to data science, or health sciences/medicine disciplines - Advanced knowledge of data science, statistics and machine learning - Education or work experience in health sciences, health data analytics - Excellent written and verbal communication skills - Ability to work independently and collaboratively - Familiarity with Canvas Requirements - Hours per week: 5-10 hours per week - Course start date: September 8, 2026 - Course end date: October 12, 2026 - Supervisor: Dr. Anita Palepu, Head, Department of Medicine and Co-lead for Data Science and Health Research Excellence Cluster Benefits - Compensation Range: $38.65 - $38.65 CAD Hourly - Job End Date: November 12, 2026 - Applications will be accepted until 11:59 PM on the Posting End Date: July 26, 2026