Senior Analyst, Data and Operations (R-17715)

Why We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.
We are seeking a Senior Analyst, Data and Operations to organize, manage, and optimize our relationship data assets.
The Senior Analyst, Data and Operations will be responsible for delivering on our data asset vision, strategy, and roadmap, ensuring alignment with business objectives and client needs.
The Senior Analyst, Data and Operations will collaborate with product teams to review our data asset strategies and ensure those strategies meet client requirements and support business growth.

Key Responsibilities:

• Communicate the data vision and strategy to stakeholders of data-driven products.
• Collaborate with cross-functional teams to gather and prioritize data requirements, and ensure datasets meet requirements for client use cases.
• Manage the pipeline for datasets, ensuring smooth data flow and processing, and ensuring timely delivery of features.
• Oversee the design and deployment of data assets.
• Conduct market research and user interviews to identify opportunities for new data assets.
• Ensure data governance and compliance with regulations related to data usage.
• Analyze data to identify trends, patterns, and insights that inform product decisions.
• Oversee data collection, processing, and analysis to ensure data quality and integrity.
• Additional duties as assigned.

Education and Experience

• Bachelor’s Degree - Required or 5+ years of professional experience
• Master’s Degree - Preferred or 2+ years of professional experience

Additional Skills Needed:

• Experience in project management, preferably in data-related projects.
• Proficiency in data analysis and visualization tools.
• Strong understanding of data science and data engineering principles.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and leadership skills.
• Proficient in SQL and familiar with R, Python, or similar analytics languages.
• Knowledge of Cloud computing platforms a plus (GCP, AWS).
• Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
• Where applicable, fluency in English and languages relevant to the working market.

Benefits We Offer· Generous paid time off in your first year, increasing with tenure.· Up to 16 weeks 100% paid parental leave after one year of employment.· Paid sick time to care for yourself or family members. · Education assistance and extensive training resources.· Do Good Program: Paid volunteer days & donation matching.  · Competitive 401k with company matching.· Health & wellness benefits, including discounted Wellhub membership rates.· Medical, dental & vision insurance for you, spouse/partner & dependents.· Learn more about our benefits: http://bit.ly/41Yyc3d.

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