
51 - 200 employees
🔒 Cybersecurity
🏢 Enterprise
☁️ SaaS
Cybersecurity • Enterprise • SaaS
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.
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51 - 200 employees
🔒 Cybersecurity
🏢 Enterprise
☁️ SaaS
Cybersecurity • Enterprise • SaaS
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 outage notification 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 across severity, notification type, service affected, service layer, root cause, lifecycle, carrier type, verification, and state/geography fields. • Develop SQL queries, Python/pandas analysis scripts, and repeatable QA checks that 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 crisis-center/state-coordinator 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 depending on the approved platform, including KPI definitions, filters, drilldowns, and test cases. • Analyze grant lifecycle and federal operations data where needed, including eRA/PMS exports, SharePoint trackers, NOFO workflow data, SAM.gov/DNP verification outputs, and manually reconciled spreadsheets. • Support UAT by preparing test data, validating dashboard numbers with stakeholders, triaging data defects, and translating user feedback into backlog-ready analytical requirements. • Document repeatable runbooks for data validation, dashboard refreshes, exception handling, and production reporting operations. • Contribute evidence and documentation for federal security, privacy, and ATO reviews, including audit trails, data handling assumptions, and data quality controls.
• 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 or comparable relational databases; able to write joins, aggregations, window functions, QA queries, and source-to-target validation checks. • Hands-on Python experience for data analysis and automation, including pandas or similar libraries; able to work with CSV, Excel, JSON, email-derived text, and PDF-extracted data. • Experience with AWS data or analytics services such as S3, RDS, Lambda, Athena, Glue, QuickSight, CloudWatch, IAM, or related cloud-native data services. • BI/dashboard development experience using Amazon QuickSight, Power BI, Tableau, or a similar platform, including KPI design 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 the ability to explain analytical findings to 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.
• 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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