Senior Principal Product Manager, GTM - Insurance (R-19226)
Dun & Bradstreet · Florham Park, NJ · 3 wk ago
On-siteMarketingFull-time
U.S. Equal Employment Opportunity information
(Completion is voluntary and will not subject you to adverse treatment)
Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About the role
The role involves working with data analytics tools to support business intelligence initiatives. It requires strong analytical skills and proficiency in SQL and Python.
Responsibilities
- Develop and maintain SQL databases and ETL processes
- Write and execute Python scripts for data analysis and machine learning
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
- Perform data validation and quality checks to ensure data integrity
- Present findings and insights to stakeholders through reports and presentations
Requirements
- Bachelor's degree in Computer Science, Statistics, or a related field
- At least 2 years of professional experience in data analysis or related field
- Proficiency in SQL and Python programming languages
- Experience with data visualization tools such as Tableau or Power BI
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
Qualifications
- Knowledge of data modeling and database design principles
- Experience with data warehousing and ETL processes
- Understanding of statistical methods and data analysis techniques
- Experience with cloud-based data storage solutions like AWS or Google Cloud
Skills
- Data analysis and interpretation
- SQL and Python programming
- Data visualization and reporting
- Collaboration and teamwork
- Problem-solving and critical thinking
Benefits
Flexible work schedule, remote work options, professional development opportunities, and a competitive salary package.
Pay
Competitive salary based on experience and qualifications.
Schedule
Full-time position with standard office hours.