1066 Data Modeling Analytics Director jobs in New Jersey

Director, Real World Data & Epidemiology (RWD & EPI) Analytics

Genmab

Plainsboro, NJ 08536

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Graduate (PhD or Masters) degree in Epidemiology, Biostatistics, Public Health, or related field.
10+ years' experience in real-world evidence generation and epidemiology analytics.
Demonstrated expertise in observational study design, statistical methods (survival analysis/modeling, regression analysis, IPTW, MAIC, causal inference, etc), and RWD evaluation.
Hands-on proficiency in statistical programming (SAS, R, Python) on real-world claims/EHR data and AI/ML frameworks.
Exceptional communication, presentation, and stakeholder-management skills.
Oncology experience preferred
Strong commercial and clinical strategic mindset.
Demonstrated research accomplishments as evidenced by a history of peer-reviewed publications.
Ability to work well in a team and cross-functional environment, as well as work independently with limited supervision.
Ability to work successfully under pressure in a fast-paced environment and with tight timelines
Ability to be proactive, enthusiastic and goal orientated
Strong communication skills - both oral and written
Work arrangement: This role offers flexibility to work away from the office for 20%–40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager.

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Director, Trade Analytics & Data Strategy

Kenvue

Summit, NJ 07901

HybridPaid Time Off

A minimum of 10 years of insights experience, with a proven record of providing actionable insights that influence leadership decisions
At least 4-5 years of experience in a leadership role, demonstrating the ability to manage teams and drive strategic initiatives effectively
Proficiency in data governance, data modeling and data quality management practices
Familiarity with data analytics tools and platforms, including SQL, Python, R, Tableau, Power BI, or similar technologies
Experience in the business adoption of data science tools and advanced analytics methodologies
Strong analytical and problem-solving skills, with the ability to communicate complex insights clearly and effectively to diverse audiences
Proven experience in leading cross-functional teams and collaborating with stakeholders at all organizational levels
A strategic mindset with a passion for leveraging data to drive business outcomes and enhance customer experiences

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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.
Architect and implement end-to-end ELT workflows with DBT (core and Cloud), ensuring modular, testable, and reusable transformations.
Build high-performance data pipelines in Snowflake and Databricks (PySpark, Delta Lake, Unity Catalog) for batch and streaming workloads.
Orchestration using Apache Airflow and Amazon tools.
Engineer scalable data ingestion pipelines into AWS (DBT, SQL, PythonS3, Kinesis, Glue, Lambda, Step Functions) with strong monitoring and fault tolerance.
Ensure observability, cost efficiency & scalability in all pipeline and compute designs.
Design normalized and star-schema models for analytical workloads, following dbt's best practices and software engineering principles.
Implement data quality testing frameworks (dbt tests, Great Expectations, or custom validations) with automated CI/CD integration.
Manage data versioning, lineage, and governance through tools such as Unity Catalog and AWS Lake Formation.
Ensure data lineage, cataloging, and metadata management are maintained.
Apply HIPPA privacy rules, and pharma‑specific compliance standards.
Support audits, documentation, and validation activities.
Develop semantic data layers that support self-service analytics across BI tools (Tableau, Power BI etc.).
Partner with analysts and data scientists to optimize queries and deliver production-ready datasets.
Manage ingestion and harmonization of EU commercial datasets such as:
HCP/HCO master data (IQVIA and Veeva)
Sales and distribution data (Integrichain, Symphony Non-Retail and Country specific market data)
Omnichannel engagement (email, rep-triggered, web, events)
CRM activity data (Veeva, LifeScience Cloud)
Market research and syndicated data (IQVIA, etc.)
Support data pipelines used for incentive compensation, field force effectiveness, and brand performance analytics.
Automate deployment pipelines with CI/CD (GitHub Actions, GitLab CI, or AWS CodePipeline) for dbt and Databricks.
Implement infrastructure-as-code (IaaC) for reproducibility (Terraform, CloudFormation).
Ensure system reliability through observability and monitoring (Datadog, CloudWatch, Prometheus, or similar).
Benchmark and optimize SQL, Spark, and BI query performance at scale.
Partner with Data Scientists, Commercial Analysts, and Business Partners to translate business needs into technical solutions.
Work closely with IT, Compliance, and Data Privacy teams to ensure GDPR‑aligned data handling.
Provide technical guidance on data availability, feasibility, and best practices.
For US based candidates, the proposed salary band for this position is as follows: $131,600.00---$197,400.00
The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives.
401(k) Plan: 100% match on the first 6% of contributions
Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance
Voluntary Plans: Critical illness, accident, and hospital indemnity insurance
Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave
Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support
Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses
For US based candidates, the proposed salary band for this position is as follows:\n\n$131,600.00---$197,400.00
The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain\npositions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives.

SmartExplore AI is experimental.

New, Posted 8 hours ago

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Director, Marketing Technology and AI

KPMG

Short Hills, NJ 07078

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Director of Inventory Planning and Optimization

EDMUND OPTICS

Barrington, NJ 08007

$150,000-$165,000/yr

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Associate Director, Advanced Analytics

KMK Consulting

Morris Plains, NJ 07950

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Senior Director, Commercial Operations, Insights & Analytics

Helsinn Therapeutics (U.S.)

Iselin, NJ 08830

New, Posted 8 hours ago

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Director, Marketing Technology and AI

KPMG

Montvale, NJ 07645

New, Posted 9 hours ago

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Senior Compensation and Benefits Analyst

Astound

Princeton, NJ 08540

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

4–6 years of progressive experience in Total Rewards, compensation, and/or benefits analytics
Demonstrated experience building salary structures, conducting market benchmarking, and analyzing benefits plan data in an employer-side HR environment
Experience supporting a merit cycle, pay equity review, or compensation structure redesign from an analytical standpoint
Experience with HRIS platforms (Workday, SAP, UKG, or equivalent)
Advanced Excel proficiency
Knowledge with HRIS platforms and ability to extract, manipulate, and reconcile compensation and benefits data
Familiarity with compensation survey tools and platforms (Croner, Mercer, Radford/Aon, WTW, SHRM) and the ability to conduct job matching and extract benchmarking data independently
Working knowledge of compensation fundamentals: salary structure design, grade and range methodology, merit matrix construction, pay equity analysis, and incentive plan mechanics
Working knowledge of health and welfare benefits: self-insured vs. fully insured plan structures, stop-loss, claims analysis, ACA compliance, ERISA filings, and open enrollment administration
Ability to translate complex data into clear, actionable insights for non-technical audiences including HR leadership, Finance, and business managers
Strong project management and organizational skills; able to manage multiple analytical workstreams simultaneously across both compensation and benefits cycles
High attention to data accuracy and a personal commitment to work product quality
Experience with self-insured health plan data analysis and benefits cost modeling
Prior experience in telecommunications, cable, or similarly complex multi-state, multi-location organization
Bachelor's degree in Human Resources, Finance, Business Administration, Economics, or a related quantitative field