Data Analyst

Dynanet Corporation

Data Analyst supporting modernization work focused on outage reporting for Dynanet Corporation. Responsible for data profiling, cleansing, and development of BI datasets and decision-support tools.

Posted 6/12/2026full-timeRemote • Maryland • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudPandasPostgresPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Medical and Dental Insurance
Paid Time Off/Holidays
401(k) Retirement Plans with Matching
Remote Work*
Paid Training
Employee Referral Program
Employee Development Program

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPostgreSQLPythonpandasdata analysisdata validationdata qualitydashboard developmentdata extractiondata reconciliation

Soft Skills

strong communicationanalytical thinkingdocumentationstakeholder engagementproblem-solvingcollaborationattention to detailadaptabilitycritical thinkinguser feedback translation