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Provider Data Analyst

Bridgewater,NJ

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574 Provider Data Analyst jobs in Bridgewater,NJ

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Senior Data Product Engineer, Commercial

Genmab

Plainsboro, NJ 08536

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years in data engineering, analytics engineering, or data platform development.
  • 10+ years of experience IT with some in Biotech/Pharma industry
  • Expert-level proficiency in:
  • **DBT:** advanced macros, Jinja, testing, exposures, dbt Cloud deployment.
  • **Databricks:** Spark (PySpark, SQL), Delta Lake, Unity Catalog.
  • **Snowflake**
  • **AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals.**
  • **Data Visualization:** Power BI or Tableau.
  • Strong programming background in Python and SQL (including query optimization).
  • Proven experience with distributed systems and large-scale datasets (TB scale).
  • Experience implementing CI/CD pipelines, data testing, and infrastructure as code.
  • Solid understanding of data governance, security, and compliance in enterprise environments.
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Director, Data Governance & Security

Princeton University

Princeton, NJ 08542

~ 39 min OnsiteUrgently Hiring

  • Bachelor's degree required
  • 8+ years of relevant practical experience
  • Proficiency with technology and systems
  • Ability to quickly learn new systems and processes
  • Excellent written and oral communication skills
  • Discretion in dealing with highly confidential material
  • Excellent interpersonal skills and a high degree of professionalism and initiative
  • Excellent attention to detail; accuracy, flexibility and demonstrated ability to be proactive and to prioritize tasks
  • Strong problem-solving, data gathering and organizational skills
  • Strong computer skills, including proficiency in the Microsoft Office suite of applications (Word, Excel, PowerPoint and Outlook), CRM databases, ability to learn and manage alumni database information
  • Customer service orientation
  • Demonstrated ability to exercise independent judgment and make decisions based on established policies and procedures, and ability to interact with department staff, University Advancement staff and campus partners
  • Commitment to University Advancement's mission to inform, involve, and inspire Princeton's global community of alumni and friends, and adhering to its guiding principles of High Performance, Innovation, Civility, and Collaboration.
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New, Posted 1 hour ago
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Vice President, ESG Data Solutions&Controls

BNY

New York, NY 10007

$68,000-$160,000/yr
New, Posted just now
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Sr Product Manager II, Data Product Management

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$163,100-$218,700/yr
New, Posted 1 day ago
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ResumeLibrary
Associate Director - External Data Acquisition Lead (EDAL)

Genmab

Plainsboro, NJ 08536

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in a relevant technical area; Master's degree preferred.
  • 10+ years of experience in external or clinical data management, with strong third-party vendor oversight and data acquisition experience.
  • Experience working on Oncology trials/data
  • Experience designing and governing DTS and complex data flows supporting EDC integration and CDISC standards (CDASH, SDTM).
  • Strong knowledge of diverse external data types (e.g., biomarker, central lab, imaging, eCOA/ePRO, genomic) and ability to align acquisition strategies to clinical and analytical objectives.
  • Experience managing projects, vendors, and process improvements in global environments.
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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

New, Posted 20 hours ago
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Associate Manager, Insights & Analytics

Kenvue

Summit, NJ 07901

Hybrid~ 30 minPaid Time Off

  • Bachelor's degree or equivalent in a related field.
  • 3-6 years prior experience in customer sales, category insights/management, analytics, shopper marketing/insights, or related field in a consumer products environment is required.
  • Intermediate to Advanced Excel and PowerPoint skills are required.
  • Ability to assess, interpret and draw accurate conclusions from sales and customer data is required.
  • Ability to craft impactful presentations to explain recommendations and findings of analyses, resources, and studies are required.
  • Excellent communication and collaboration skills.
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New, Posted 10 hours ago
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IT Risk Operations - Sr Analyst

Northwestern Mutual

New York, NY 10025

Flexible Schedule
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Principal Quant Developer (MLOps)

Fidelity Investments

Elizabeth, NJ 07202

~ 43 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
  • Six (6) years of experience as a Senior Quant Developer or similar role
  • Alternatively, a Master's degree (or equivalent foreign education) in the same fields
  • Four (4) years of experience as a Lead Quantitative Development or similar role
  • This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
  • Expert in Python with experience across the development stack (full stack)
  • Exposure to object-oriented programming (OOP) and design patterns
  • Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
  • A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
  • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
  • Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
  • Proven ability to construct and manage robust data pipelines and event-driven workflows
  • Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
  • Experience in containerization with Docker and orchestration with Kubernetes
  • Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
  • Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
  • Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
  • Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
  • Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
  • Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
  • Awareness of responsible AI governance practices
  • Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
  • Demonstrated knowledge of mathematics, statistics, and quantitative finance
  • Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
  • Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
  • Domain knowledge in either equities, fixed income or alternative asset classes
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Property Adjuster Specialist - Field

USAA Careers

New York, NY 10025

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