Analyst II (R-17831)
Jacksonville - Florida - United States
Dun & Bradstreet
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.
The Analyst II will play a vital role in supporting our Global Fraud Operations data-driven decision-making processes.
The Analyst II responsibilities will include collecting, cleaning, and analyzing data from various sources and will help progress our operations with the implementation of our Graph Capability.
The Analyst II will perform exploratory data analysis to identify patterns and trends, create basic visualizations to present findings, and prepare reports to communicate insights to team members and stakeholders.
The Analyst II will collaborate with different departments to understand their data needs and assist in maintaining and optimizing databases for efficient data storage and retrieval.
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found here. We participate in E-Verify - The current poster can be found here.
Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.
The Analyst II will play a vital role in supporting our Global Fraud Operations data-driven decision-making processes.
The Analyst II responsibilities will include collecting, cleaning, and analyzing data from various sources and will help progress our operations with the implementation of our Graph Capability.
The Analyst II will perform exploratory data analysis to identify patterns and trends, create basic visualizations to present findings, and prepare reports to communicate insights to team members and stakeholders.
The Analyst II will collaborate with different departments to understand their data needs and assist in maintaining and optimizing databases for efficient data storage and retrieval.
Key Responsibilities:
- Utilize an analytical mindset to collect, organize, and deliver large datasets from multiple channels and sources.
- Provide technical/subject matter expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting.
- Review and test data to ensure it meets high standards of quality, accuracy, and reliability.
- Identify and implement continuous improvements in data collection and delivery processes.
- Develop visual analytics on various Business intelligence platforms, such as Power BI and Graph, by designing and creating dashboards.
- Proactively analyze and troubleshoot data-related issues, assess their criticality, escalate for timely resolution, and lead problem-solving efforts.
- Develop a variety of database query and visualization tools to identify and understand platform issues or events.
- Collaborate with internal stakeholders on data compilation, analysis, and quality assurance.
- Provide analysis and drive modern solutions and efficiencies in our processes.
- Additional duties as assigned.
Skills and/or Certifications:
- Bachelor’s degree in data science, Information Systems, Computer Science, Mathematics or a related field.
- 2+ years of experience in data analysis, visualization, statistics, and/or data manipulation.
- Anti-Fraud/Compliance related professional certifications (Certified Fraud Examiner, Certified Anti-Money Laundering Specialist) preferred but not required.
- Strong technical aptitude with proficiency in Microsoft office suite as well familiarity with SQL or other programming or scripting languages (e.g. Python).
- Experience with data transformation processes and exposure to both standard and complex data types.
- Passionate and curious about data, with the ability to query and analyze datasets to drive fact-based decisions.
- Results-oriented and capable of working independently while managing multiple priorities.
- Ability to interpret and translate data into meaningful business insight.
- Ability to operate with a sense of urgency and meet critical deadlines.
- Excellent organization, decision-making, and analytical skills.
- Excellent verbal, written and interpersonal communication skills.
- 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.
Education:
- Bachelors - required
- Masters - preferred
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found here. We participate in E-Verify - The current poster can be found here.
Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Analyst Jobs
Tags: Business Intelligence Computer Science Data analysis EDA Mathematics Power BI Privacy Python R SQL Statistics
Perks/benefits: Career development Flex vacation Health care Insurance Medical leave Parental leave Startup environment Team events Wellness
Region:
North America
Country:
United States
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