Cyber Technical Analyst Advisor (Technical Targeter)

At Avalore, we are a mission-driven, veteran-owned small business that helps government agencies harness the power of data and emerging technologies to solve complex problems. Our team combines deep technical expertise with a passion for public service, delivering innovative, responsible solutions in AI, data governance, cybersecurity, and enterprise transformation. Joining Avalore means working alongside experts who have successfully led high-impact initiatives across the DoD and Intelligence Community, and being part of a company that values integrity, agility, and purpose. Your responsibilities will include: Elicits and analyzes IT requirements to determine customer needs.   Interfaces with IT professionals to produce, store, communicate, and disseminate information as it relates to software applications and computer hardware.   Serves as a liaison between customers and implementation organizations.   Directly contributes to IT program/project efforts (e.g., validating, tracking, eliciting, and documenting requirements).   Reports on technical progress, identifies resolution for problem areas, and writes and reviews technical documentation.  Requirements Requires two (2) years of relevant experience in requirement gathering or of similar scope, type, and complexity within the Federal Government or Intelligence Community,   Bachelor's degree in a technical discipline from an accredited college or university.   Five (5) additional years of relevant experience may be may be substituted for a Bachelor's degree Must possess a U.S government Top Secret security clearance with SCI eligibility and a polygraph (TS/SCI w/ polygraph).  Ability to work independently and manage multiple priorities. Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position. Benefits Eligibility requirements apply. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Employee Assistance Program

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level. We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector and we are beefing up our talent in the space. We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Requirements Bachelor's degree in Computer Science or related field 10+ years of experience in a Business Intelligence space Knowledge of Power BI Business intelligence reporting tool is a must Knowledge of SQL is a must Deep knowledge and understanding of the CPG space in Sales, marketing and Supply chain. Experience and knowledge with Data Warehouse ETL process using SSIS packages is preferred Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approaches. Consulting experience is highly preferred

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level. We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector and we are beefing up our talent in the space. We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Requirements Bachelor's degree in Computer Science or related field 10+ years of experience in a Business Intelligence space Knowledge of Power BI Business intelligence reporting tool is a must Knowledge of SQL is a must Deep knowledge and understanding of the CPG space in Sales, marketing and Supply chain. Experience and knowledge with Data Warehouse ETL process using SSIS packages is preferred Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approaches. Consulting experience is highly preferred

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.

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.