Senior Data Analyst (R-15978)

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 6,500+ 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.

Key Responsibilities

• Develop logical business rules instructing how to process, validate, transform and derive data using D&B protocols and standards
• Responsible for real-time aggregation of large amounts of data from various sources that includes streaming and batch data into a data lake.
• Manage the implementation of the rules into production environments, adhering to required data management and governance practices
• Perform data analysis using a variety of database query and visualization tools to identify and understand issues or events
• Provide technical expertise in extracting, integrating, and analyzing critical data
• Enable decision-making by retrieving and aggregating data from multiple sources to present it in a digestible and actionable format
• Write test case scenarios, prepare test data and perform User Acceptance testing
• Create documentation, reports and dashboards to support the effective management and operation of the platform

Key Requirements:

• Min 6 yrs of total experience in Data Engineering and experience working as a member of one or more agile teams and SCRUM methodology
• Robust data knowledge preferably around business data sets with proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses
• Strong Data Modelling & Mapping knowledge along with experience in XML & JSON document formats
• Experience of ETL & Data Processing using Cloud Based Technologies (GCP Preferred)
• Knowledge of DevOps experience with CI/CD pipelines, Configuration Management tools, Scripting
• Strong communication skills with the ability to collaborate and build cross team relations
• Proven ability to drive results and to implement complex, technical, multi-organizational programs
• Passionate and curious about data with the ability to query and analyze datasets in order to drive fact- based decisions
• Able to work independently with minimal supervision.
• Willing to learn new skills and implement new technologies.
• A Degree in Data Science, Information Systems, Computer Science, Business, Economics, Mathematics or similar

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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