Data Analyst at Dynanet Corporation

, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

25 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Tableau, PostgreSQL, Data Profiling, Data Governance, BI Dashboard Development, Pandas, AWS S3, AWS RDS, Agile Methodology, UAT Support, Data Modeling, Data Cleansing, Metric Definition, Analytical Reporting

Industry

IT Services and IT Consulting

Description

Description Position Details: Job Title: Data Analyst Job Type: Contracting (Short-Term) Location: Remote Dynanet Corporation Overview: Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome the limitations of 1990s technology. From strengthening communication channels to introducing innovative ways to collaborate and share information, Dynanet played a crucial role in shaping the early stages of digital transformation. The company’s efforts helped organizations build the very fabric of connectivity that now powers our modern world. Over the last three decades, Dynanet has grown into a trusted partner for organizations looking to innovate boldly and transform seamlessly. While technology continues to evolve and unlock new opportunities, for nearly 30 years, Dynanet remains committed to delivering cutting-edge solutions that drive lasting change for its customers. Through agility, foresight, and an unwavering dedication to excellence, Dynanet continues to empower organizations to thrive in a rapidly changing digital landscape. Our story is more than just a story of technology – it’s a story of vision, growth, and transformation that has shaped the past and continues to pave the way for the future. About the Role: Dynanet is seeking a Data Analyst to support modernization work focused on the outage reporting. The analyst will convert fragmented operational data, unstructured carrier notifications, system exports, and stakeholder reporting needs into governed datasets, dashboard-ready metrics, quality checks, and decision-support products. The role is intended to augment the project Data Architect and technical team. It is not a passive reporting position; the analyst must be comfortable profiling messy data, writing SQL and Python, validating AI-extracted fields, building BI datasets, documenting metric definitions, and helping federal stakeholders trust the data before production rollout. Requirements Roles and Responsibilities: 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 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. 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. Required Professional Skills: 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 (primary database); able to write joins, aggregations, window functions, QA queries, and source-to-target validation checks against PostgreSQL tables. Hands-on dashboard development experience in Tableau (primary BI platform), including KPI design, calculated fields, filters, drilldowns, and stakeholder validation; familiarity with Amazon QuickSight or Power BI is a plus. 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. Preferred Professional Skills: 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. Experience supporting FedRAMP, FISMA, NIST 800-53, HIPAA-adjacent, Section 508, public trust, or ATO documentation activities. Exposure to AWS Bedrock or LLM evaluation workflows, especially classification/extraction accuracy testing and human-labeled validation datasets. Experience with event-driven data pipelines using SES, SQS, Lambda, Step Functions, EventBridge, API Gateway, or similar services. Ability to produce concise executive reporting, carrier scorecards, trend narratives, and analytical briefs from governed datasets. Dynanet Team Requirements and Expectations: Possess Strong written and verbal communication skills. Highly organized with an ability to prioritize, balance, and effectively advance multiple competing priorities in a high-volume, fast-paced environment. Ability to interact in a professional and collaborative manner with fellow Dynanet Teammates and the clients, and business partners that we work with. Ability and desire to challenge and educate yourself to support and advance IT services delivery in the Federal agencies we serve. Excellent judgment and creative problem-solving skills. Respond to team member and client requests via email, MS teams, or other communication means during core business hours. Active listening skills to understand clients' needs, and collaboration skills to work with other developers and designers. Education/Experience Requirements: Bachelor’s degree in Data Science, Analytics, Computer Science, or related field 4+ years of experience in data analysis, business intelligence, or analytics strategy Demonstrated experience in analytics, BI, or data modeling Experience working with federal agencies and understanding federal IT policies Employee Benefits Overview: 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

Responsibilities

The Data Analyst will convert fragmented operational data and unstructured notifications into governed datasets and dashboard-ready metrics. They will support modernization of outage reporting by profiling messy data and validating AI-extracted fields for federal stakeholders.