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