Similar Jobs
Automotive • Big Data • Insurance • Software • Transportation
The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.
Top Skills:
Bi ToolsCrm ToolsGoogle WorkspaceSQL
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.
Top Skills:
AWSBi ToolsData Cloud ProductsSnowflakeSQL
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Manage and transform data to build BI tools, dashboards, predictive and prescriptive models; perform ETL, QA/UAT, and statistical analyses; maintain HRA DataMart and CMS/Stars compliance; deliver actionable insights and reports to stakeholders and external clients; train others and support automation and cost-benefit evaluations.
Top Skills:
AlteryxAzureEtl FrameworksExcel (Advanced)Power BISnowflakeSQLSsisTableau
Job Type: Full Time
Description: PingWind is seeking a highly skilled and experienced Data Analyst to join our dynamic team. As a Data Analyst, you play a vital role overseeing and building machine learning models, developing interactive dashboards, and managing the data lifecycle for the MEDCHART system.
Required Clearance: Secret w/ability to obtain TS.
Required Education: Bachelor’ s Degree in relevant field.
Required Experience: Six (6) years of relevant experience.
Responsibilities:
•Oversee the development of machine learning models to extract meaningful insights from MEDCHART system data.
•Collaborate with data scientists and stakeholders to define model requirements and objectives.
•Ensure dashboards are user-friendly and accessible for relevant stakeholders.
•Conduct in-depth data analysis to uncover patterns, trends, and insights that contribute to informed decision-making.
•Communicate findings to stakeholders through clear and concise reports.
•Collaborate with data scientists, IT professionals, and other relevant teams to integrate machine learning models into operational systems.
•Ensure seamless data flow between different components of the MEDCHART system.
•Proven experience as a Data Analyst, with a focus on machine learning and data visualization.
Requirements:
•Strong programming skills (Python, R, etc.) for data analysis and model development.
•Familiarity with data visualization tools such as Tableau, Power BI, or similar.
•Knowledge of machine learning algorithms and statistical modeling techniques.
•Proficiency in machine learning model development and implementation.
•Strong data analysis and interpretation skills.
•Excellent data visualization and dashboard development skills.
•Effective communication and collaboration abilities.
•Detail-oriented with a focus on data quality and accuracy.
Preferred Qualifications: CAP, CCA Data Analyst, or SAS certified Data Scientist
Certifications:
•Security+
•HIPPA
About PingWind
PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL. www.PingWind.com
Our benefits include:
Paid Federal Holidays
Robust Health & Dental Insurance Options
401k with matching
Paid vacation and sick leave
Continuing education assistance
Short Term / Long Term Disability & Life Insurance
Employee Assistance Program through Sun Life Financial EAP Guidance Resources
Veterans are encouraged to apply
PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law.
APPLY FOR THIS JOB
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



