Position Title: Senior Data Content Analyst

Location: Remote

Company Background

APV is an innovative Woman-Owned Small Business (WOSB) providing services to Government customers at the federal and state levels in three key focus areas: High-End IT Consulting, Emerging Technology and Training Solutions, and Human Capital Services. Established in 2007, APV has completed over 70 prime contracts and currently oversees more than 25 task orders, consistently achieving high client satisfaction, CPARS ratings, and customer accolades. Our skilled and motivated workforce fuels our success, as evidenced by our impressive employee retention rate, which exceeds 90%. APV has a broad portfolio of contracts and “Best-in-Class” contract vehicles, including GSA MAS, OASIS Small Business, and 8(A) Pool 1, CIO-SP3 SB & 8(a) across all functional areas, HCaTS, and several other industry-specific BPA and IDIQs.

APV is a mature company dedicated to quality and exceptional delivery, ensuring it meets its clients’ missions. We understand personnel are an essential part of this. We hire the best and take care of our employees. We consistently maintain high employee satisfaction and have a retention rate that exceeds the industry average for our peer small businesses. We achieve this through our corporate practice, which emphasizes employee satisfaction through the three “C’s” – Culture, Compensation, and Career Development.

Role:

APV is seeking a Senior Data Content Analyst to support the National Center for Advancing Translational Sciences (NCATS) in addressing the health information needs of patients, caregivers, and communities impacted by rare diseases. The Senior Data Content Analyst will independently manage, curate, and optimize complex Rare Disease data and content sets, enabling better access, discoverability, and reuse of rare disease information to support patients and the broader health community. This individual will ensure data accuracy, perform ROT (Redundant, Obsolete, Trivial) analysis, design tagging and account structures, and develop actionable insights through dashboards and reports. The role involves collaborating with cross-functional teams, maintaining metadata repositories, and driving best practices in knowledge management.

Duties:

Independently review, organize, and validate data sets from multiple sources, including Salesforce dashboards and Excel data sets, to ensure accuracy, completeness, and consistency, while resolving discrepancies and maintaining high data quality standards.
Develop and maintain advanced reports, dashboards, and visualizations in Salesforce and Excel to deliver data-driven insights that inform strategic content recommendations, guide decision-making, and improve operational efficiency.
Design, document (using MS Word), and recommend data management logic to prioritize content creation and optimization.
Design and implement account linkage structures and tagging categories using Salesforce custom objects such as “Linking Object/table” and “Custom Tag Object with Category field” by applying taxonomies and tagging strategies to support structured knowledge representation and hierarchy, while maintaining and enhancing the tagging repository for accuracy and scalability.
Design, develop, recommend, and maintain knowledge articles in Salesforce to ensure content remains accurate, accessible, and up to date.
Conduct ROT (Redundant, Obsolete, Trivial) analysis to identify and clean unnecessary or outdated data and content, improving overall data efficiency and usability, track findings using Excel, and document summary reports using Word.
Ensure data integrity through rigorous quality assessments, validation checks, and governance enforcement.
Collaborate with cross-functional teams—including government stakeholders, data engineers, and subject matter experts—to translate complex requirements into scalable solutions.
Manage manual business process workflows that convert scientific and technical content into plain language for public-facing systems.
Maintain metadata repositories, documentation libraries, and data catalogs in Salesforce, capturing lineage, provenance, and usage.
Support Agile Scrum processes, including sprint planning, backlog grooming, and retrospectives, by creating work breakdown structures (WBS) and generating Jira tickets to ensure precise task tracking and continuous delivery.
Train and document data curation, tagging, and account linkage best practices.
Additional duties as assigned.

Education:

Bachelor’s degree in information science, data analytics, library science, or a related field.

Experience Requirements:

4+ years of experience in data science, data management, or content curation.
Experience designing and implementing data ontologies and structured knowledge systems.
Proficient in metadata tagging, taxonomy development, and data governance.
Proficient in using Excel for data analysis.
Understanding of fundamental Salesforce Lightning (Summer ’25 release) concepts such as Object, Field, Record, Linking object/table, custom Tag object with Category field (pick list or lookup), Knowledge Article
Understanding data modeling, relationship management, and workflow automation.
Excellent communication, stakeholder engagement, and cross-functional collaboration skills.
Experience working in Agile Scrum environments.

Preferred Qualifications:

Master’s degree in information science, data analytics, library science, or similar.
Prior experience with NIH
Familiarity with MedlinePlus, SNOMED, Mondo Disease Ontology (MONDO), Orphanet, and Online Mendelian Inheritance in Man (OMIM)
Knowledge of public health information systems, particularly NIH Genetics and Rare Diseases knowledge management

About APV

APV is an Equal Employment Opportunity employer. All qualified applicants are considered without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, or marital status. Minorities/Females/Veterans/Disability candidates are encouraged to apply. Qualified military veterans are encouraged to apply.

A P Ventures LLC

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Senior Data Content Analyst