Data Analyst – Dun & Bradstreet (Short Hills, New Jersey, USA)
90000.00 $
Published date: 2025/04/08
- Location: Short Hills, New Jersey, United States
Location: Short Hills, New Jersey, USA
Company: Dun & Bradstreet
Salary: $75,000 – $90,000/year + annual bonus
Job Type: Full-Time, Hybrid
Working Hours: Monday to Friday, 9:00 AM – 5:30 PM
Job Description:
Dun & Bradstreet is hiring a Data Analyst to join its U.S. analytics team. You’ll help uncover insights from millions of business data points to support decision-making for global clients.
Key Responsibilities:
– Clean, analyze, and model structured and unstructured business data
– Build dashboards using tools like Tableau or Power BI
– Collaborate with internal teams to optimize data pipelines and reports
– Support product development with data-driven insights
– Present analysis to both technical and non-technical stakeholders
Requirements:
– Bachelor’s degree in Data Science, Statistics, Economics, or related field
– 2+ years of experience in data analysis or business intelligence
– Proficiency in SQL, Python or R
– Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus
– Excellent communication and presentation skills
Benefits:
– Health, dental, vision, and life insurance
– 401(k) with company match
– Paid time off, holidays, and parental leave
– Remote flexibility and hybrid work model
– Professional development budget
Company: Dun & Bradstreet
Salary: $75,000 – $90,000/year + annual bonus
Job Type: Full-Time, Hybrid
Working Hours: Monday to Friday, 9:00 AM – 5:30 PM
Job Description:
Dun & Bradstreet is hiring a Data Analyst to join its U.S. analytics team. You’ll help uncover insights from millions of business data points to support decision-making for global clients.
Key Responsibilities:
– Clean, analyze, and model structured and unstructured business data
– Build dashboards using tools like Tableau or Power BI
– Collaborate with internal teams to optimize data pipelines and reports
– Support product development with data-driven insights
– Present analysis to both technical and non-technical stakeholders
Requirements:
– Bachelor’s degree in Data Science, Statistics, Economics, or related field
– 2+ years of experience in data analysis or business intelligence
– Proficiency in SQL, Python or R
– Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus
– Excellent communication and presentation skills
Benefits:
– Health, dental, vision, and life insurance
– 401(k) with company match
– Paid time off, holidays, and parental leave
– Remote flexibility and hybrid work model
– Professional development budget
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