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DbtHexLookerSnowflakeSQLTableau
Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
Lead finance data governance, quality validation, reconciliation, SOX control execution, audit support, and finance-system integration initiatives. Define data standards, lineage, controls, and validation criteria across ERP, subledger, reporting, and interface environments. Partner with Accounting, Finance, Technology, and business teams on requirements, testing, cutover, defect resolution, change management, and post-production validation to ensure accurate, complete, traceable, and reliable financial data.
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APIsConcurCoupaErp SystemsNetSuiteOracleSAPSQL
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.
Top Skills:
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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.
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
