Senior Data Analyst (R-18263)

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London, Greater London, England, GBR
Hybrid
Artificial Intelligence • Big Data • Fintech • Machine Learning • Software • Generative AI • Big Data Analytics
Leading global provider of business decisioning data and analytics, enabling companies to improve business performance.
The Role
Why We Work at Dun & Bradstreet
Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity: to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us! Learn more at dnb.com/careers.

About the role
As a data analyst, within D&Bs World Wide Network (WWN) Data team you will play a vital role in supporting our data-driven decision-making processes.
Your role will manage the relationship with allocated WWN Partners to drive agreed Data Quality outcomes and improvements.
You will leverage advanced skills in various analytical tasks on large datasets. You will drive innovation in data collection and delivery processes, utilize visual analytics tools, and identify errors and omissions in data assets. Additionally, you will synthesize, interpret, and translate complex data to derive business insights. 

Key responsibilities:

  • Leverage advanced analytical skills to collect, organize, and deliver large datasets from multiple channels and sources, ensuring comprehensive data integration.
  • Provide technical 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 drive continuous improvements in data collection and delivery processes, utilizing innovative approaches to enhance efficiencies and effectiveness.
  • Proactively analyze and troubleshoot data-related issues, assess their criticality, escalate for timely resolution, and lead problem-solving efforts.
  • Utilize a variety of query and visualization tools, such as Power BI, to identify and understand platform issues or events.
  • Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance.

Essential key requirements:

  • Own and develop relationship with allocated D&B WWN Data Teams to ensure they meet Data Quality Standards & Data Strategy Outcomes
  • Bachelor’s degree in data science, Information Systems, Computer Science, Mathematics, Statistics, Economics or a related field. Master’s Degree is a plus.
  • 5+ years of experience in data visualization, analysis, investigations, statistics and/or data manipulation.
  • Strong technical aptitude with proficiency in Microsoft office suite.
  • Experience with data visualization tools like Tableau, Power BI or similar.
  • Ability to synthesize, interpret, and translate complex data into meaningful, yet easy to understand business insight.
  • Results-oriented and capable of working independently while managing multiple priorities.
  • 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.

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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Dun & Bradstreet Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dun & Bradstreet and has not been reviewed or approved by Dun & Bradstreet.

  • Leave & Time Off Breadth Vacation time starts strong and increases with tenure, complemented by paid holidays, a floating holiday, volunteer hours, and an “Unsick Day” for preventive care. Together these options create a robust and varied time-off program.
  • Parental & Family Support Primary caregivers can receive up to 16 weeks of paid parental leave after one year of employment, with shorter leave for secondary caregivers and provisions for fostering or guardianship. Adoption assistance is also available.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is offered alongside FSA/HSA options, mental-health support, and discounted fitness programs. HDHP enrollees receive employer HSA funding in addition to employer-paid basic life and short-term disability coverage.

Dun & Bradstreet Insights

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The Company
HQ: Jacksonville, FL
6,317 Employees
Year Founded: 1841

What We Do

Dun & Bradstreet, a leading global provider of business decisioning data and analytics, enables companies around the world to improve their business performance. Dun & Bradstreet’s Data Cloud fuels solutions and delivers insights that empower customers to accelerate revenue, lower cost, mitigate risk, and transform their businesses. Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity. For more information on Dun & Bradstreet, please visit www.dnb.com.

Why Work With Us

We are at a transformational moment in our company journey, and we’re excited about it. Each day, we are taking steps to transform our culture into one that activates our people’s best work, exploring what needs to change to accelerate creativity and innovation, and challenging ourselves to think differently about how we interact.

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