1507 Data Analyst Data Scientist Power Bi jobs in Bedminster,NJ

Senior Data Product Engineer, Commercial

Genmab

Plainsboro, NJ 08536

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.

Colas Rail

Morristown, NJ 07960

Relativity

Newark, NJ 07175

Kenvue

Summit, NJ 07901

Bachelor's degree in Information Systems and Technology, Computer Engineering, or related field
8 years of experience in job offered or in an IT Lead DataOps Data Engineer-related occupation
Microsoft Power BI
Microsoft Azure Data Fundamentals
Microsoft Azure Fundamentals
Snowflake SnowPro Core Certification

Saviance

East Hanover, NJ 07936

Genmab

Plainsboro, NJ 08536

MS or PhD in a quantitative discipline (e.g., Data Science, Statistics, Engineering, Economics).
12+ years of experience in advanced analytics or data science.
Demonstrated leadership of in-market advanced analytics teams, driving data-driven decision-making across Commercial and/or Medical Affairs.
Proven track record of translating analytics into measurable business impact.
Strong expertise in data science, marketing analytics, and/or real-world evidence generation.
Fluency with real-world datasets (e.g., claims, EHR, lab data).
Experience with customer and patient journey analytics.
Proficiency in Python, R, and/or SQL; experience with cloud-based data environments.
Experience with commercial data sources (e.g., Rx, claims, payer, formulary, HCP data).
Strong business acumen and ability to influence senior stakeholders.
Excellent communication and storytelling skills, with the ability to translate complex analyses into actionable insights.
Experience working cross-functionally and managing external partners or consultants.
Experience with AI productivity tools.
Ability to operate in a fast-paced, agile environment and lead through ambiguity.