
51 - 200 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Dynanet Corporation is a company providing technology solutions including application services, cloud enablement, cybersecurity, DevSecOps, legacy system modernization, and robotic process automation. It employs a 4D methodology for rapid development that aligns IT investments to mission outcomes to improve business performance. Dynanet focuses on IT modernization and human-centered design to address core business needs and meet organizational objectives. The company serves diverse clients, including federal agencies, by customizing systems to meet specific mandates and modernizing aging systems to perform in modern environments. Dynanet emphasizes a strong process methodology and the power of people and connections in delivering successful IT solutions.
🕒 June 25
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51 - 200 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Dynanet Corporation is a company providing technology solutions including application services, cloud enablement, cybersecurity, DevSecOps, legacy system modernization, and robotic process automation. It employs a 4D methodology for rapid development that aligns IT investments to mission outcomes to improve business performance. Dynanet focuses on IT modernization and human-centered design to address core business needs and meet organizational objectives. The company serves diverse clients, including federal agencies, by customizing systems to meet specific mandates and modernizing aging systems to perform in modern environments. Dynanet emphasizes a strong process methodology and the power of people and connections in delivering successful IT solutions.
• Profile, cleanse, and reconcile data from email/PDF samples, carrier templates, RDS PostgreSQL tables, S3 landing zones, and exported operational datasets • Support AI extraction evaluation loops by comparing model output to human-labeled gold data • Develop SQL queries, Python/pandas analysis scripts, and repeatable QA checks • Measure extraction accuracy, completeness, timeliness, duplicates, alert eligibility, and carrier-level data quality • Build dashboard-ready datasets and reporting marts for executive dashboards, national heat maps, carrier scorecards, trend summaries, compliance reports, and operational views • Partner with the Data Architect on canonical data models, metric dictionaries, lineage notes, source-to-target mappings, row-level security rules, and dashboard acceptance criteria • Create and maintain QuickSight, Power BI, Tableau, or equivalent BI artifacts, including KPI definitions, filters, drilldowns, and test cases • Support UAT by preparing test data, validating dashboard numbers, triaging data defects, and translating user feedback into analytical requirements • Document runbooks for data validation, dashboard refreshes, exception handling, and production reporting operations • Contribute evidence and documentation for federal security, privacy, and ATO reviews • Produce concise executive reporting, carrier scorecards, trend narratives, and analytical briefs from governed datasets
• 4+ years of data analyst, BI analyst, or analytics engineering experience supporting operational reporting, data quality, or decision-support systems • Strong SQL skills with PostgreSQL, including joins, aggregations, window functions, QA queries, and source-to-target validation checks • Hands-on dashboard development experience in Tableau, including KPI design, calculated fields, filters, drilldowns, and stakeholder validation • Ability to work with messy, semi-structured, and unstructured data while maintaining disciplined documentation, assumptions, and reproducible checks • Understanding of data governance basics: metric definitions, data dictionaries, lineage, access controls, quality thresholds, retention, and privacy-sensitive data handling • Strong communication skills with federal program staff, technical teams, PMs, and executive stakeholders • Experience working in Agile delivery environments with Jira, sprint planning, backlog refinement, demos, and UAT support • Bachelor’s degree in Data Science, Analytics, Computer Science, or related field • Demonstrated experience in analytics, BI, or data modeling • Experience working with federal agencies and understanding federal IT policies • Preferred: hands-on Python experience, including pandas or similar libraries • Preferred: experience with AWS data or analytics services such as S3, RDS, Lambda, Athena, Glue, QuickSight, CloudWatch, IAM, or related cloud-native data services • Preferred: experience supporting FedRAMP, FISMA, NIST 800-53, HIPAA-adjacent, Section 508, public trust, or ATO documentation activities • Preferred: exposure to AWS Bedrock or LLM evaluation workflows • Preferred: experience with event-driven data pipelines using SES, SQS, Lambda, Step Functions, EventBridge, API Gateway, or similar services • Strong written and verbal communication skills • Highly organized with the ability to prioritize and advance multiple competing priorities • Ability to interact professionally and collaboratively with teammates, clients, and business partners • Excellent judgment and creative problem-solving skills • Ability to respond to team member and client requests via email, MS Teams, or other communication means during core business hours • Active listening and collaboration skills
• Industry Competitive Compensation • Medical and Dental Insurance • Paid Time Off/Holidays • 401(k) Retirement Plans with Matching • Remote Work* • Paid Training • Employee Referral Program • Employee Development Program
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