dun bradstreet

Sales Operations Analyst - 6 month FTC (R-18513)

Manager, People Business Partner

Data Scientist, AI Engineer (R-18525)

Customer Success Director - Financial Services (R-18514)

Data Administrator - Junior (R-18400)

Accountant - m/f/d (R-18284)

LLM & Agentic AI Data Scientist (R-18519)

External Communications Associate (R-18515)

Employee Communications Associate (R-18516)

The Commercial Operations Team at Dun & Bradstreet is seeking a Sales Operations Analyst for a 6-month fixed-term contract in London. This role involves gathering and analyzing product usage data to drive customer retention and contractual reconciliation. The analyst will support UK & Ireland Sales Leaders in optimizing financial performance, working with customer-facing professionals and using various reporting tools. The position requires a strategic mindset, a passion for customer success, and a proactive approach to improving processes and delivering business insights.

Senior DBA (R-18008)

<h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">Why We Work at Dun & Bradstreet</h1>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.Our Commercial Operations Team is based in our London Paddington office and supports Dun & Bradstreet’s UK & Ireland's business. They are now looking for an Analyst to join them on a 6 month, fixed term contract. This is a great opportunity to be part of a dynamic environment where your insights and analysis will help shape strategic decisions.In this role, you will report to the UK & Ireland Commercial Operations Project Lead and be responsible for gathering and analyzing key product usage data to help drive performance across Customer Retention and Contractual Reconciliation objectives. Working closely with a team of customer-facing commercial professionals, you’ll use a variety of reporting tools and analytical approaches to support UK & Ireland Sales Leaders in optimizing the financial performance of existing customer relationships.We’re looking for someone with a strategic mindset and a passion for customer success someone who’s not afraid to challenge the status quo and bring fresh ideas to improve processes, enhance efficiency, and deliver deeper business insights. This is an exciting opportunity to join Dun & Bradstreet at a pivotal moment of transformation and growth, and whilst this position is for a 6 month fixed term contract, there may be opportunity for extension based on business needs.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Key Responsibilities:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Support day-to-day Commercial Operations activities related to customer usage analytics</li><li class="leading-relaxed">Produce monthly usage reports and statements, conduct trend analysis, and manage revenue-impacting reconciliations</li><li class="leading-relaxed">Raise and manage technical tickets to resolve data or system-related issues, ensuring timely resolution</li><li class="leading-relaxed">Collaborate with technical teams to troubleshoot problems and implement improvements, providing clear direction and context for business needs</li><li class="leading-relaxed">Continuously improve usage calculations for customers, internal processes, and technical systems</li><li class="leading-relaxed">Participate in meetings with the Go-To-Market team to ensure new products are designed with appropriate usage tracking and reporting capabilities</li><li class="leading-relaxed">Liaise with Product, Sales, and Customer Success teams to align usage insights with strategic goals</li><li class="leading-relaxed">Analyse large datasets from multiple sources to uncover trends, challenges, and opportunities</li><li class="leading-relaxed">Provide ad hoc analysis and support for specific projects and initiatives</li><li class="leading-relaxed">Champion a culture of agility, collaboration, and continuous improvement</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About you:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">High proficiency in Excel (including macros and VBA), PowerPoint, and Word; familiarity with SFDC, Business Objects, MS Power BI, and other analytics tools is a plus</li><li class="leading-relaxed">Enthusiastic for new tools, dashboards, and data visualisation techniques and is always looking for smarter ways to work and share insights</li><li class="leading-relaxed">A results-focused, self-motivated, dynamic character who thrives in both collaborative team environments and independent work settings</li><li class="leading-relaxed">Passionate about data and technology, with a natural curiosity for uncovering insights and solving problems through analytical thinking</li><li class="leading-relaxed">Enjoy working in Excel, exploring advanced functions, building macros, and automating workflows using VBA to streamline reporting and analysis</li><li class="leading-relaxed">Demonstrates a ‘can-do’ attitude, able to co-ordinate multiple inputs to provide clear, concise and insightful management information</li><li class="leading-relaxed">Strong oral and written communication skills, with the ability to translate complex data into actionable insights for stakeholders</li><li class="leading-relaxed">Excellent planning and analytical skills, together with a proactive approach to identifying opportunities for improvement</li><li class="leading-relaxed">Comfortable managing workloads to strict reporting deadlines, while remaining agile and responsive to changing business needs</li><li class="leading-relaxed">Keen to learn and understand complex systems, processes, and the mechanics of a business, with a genuine interest in how data drives decision-making</li><li class="leading-relaxed">Able to work from our London Paddington office 3 days a week</li></ul>Whilst some roles do have certain requirements which are essential, we try to focus on hiring based on potential rather than CV as much as possible. If you are unsure you fully meet the requirements, we would still love to hear from you!We anticipate this role will be interviewing in October/November, with a start date at the beginning of December. This is a 6 month, full time, fixed term contract on a hybrid working basis with at least 3 days a week at our London Paddington office.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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Zelis is seeking a Senior Data Scientist to collaborate with analytics and data engineering teams, focusing on collecting, analyzing, and deriving insights from company, client, and public data. The role involves strong experience in data mining, predictive modeling, building and implementing models, supervised/unsupervised learning, NLP, feature reduction, cluster analysis, and simulations. This position is crucial for modernizing the healthcare financial experience in the U.S. by streamlining processes and improving transparency, efficiency, and communication among all parties.

Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

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<h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">About Us Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. # Why We Do What We Do In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system. Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture.  # Position Overview Job Description Zelis is looking for a Senior Data Scientist who will collaborate with our analytics and data engineering teams to collect, analyze, and derive insights from company, client, and publicly available data. The ideal candidate must have strong experience in data mining/data analysis/predictive modeling, using a variety of data tools, building, and implementing models, supervised and unsupervised learning, NLP, feature reduction, cluster analysis and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. # Essential Duties and Functions * Understand the business objective and directly participate in the delivery of data science solutions to solve business problems. * Extract and analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models. * Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights. * Build, test, validate models through various relevant methodologies, error metrics and calibration techniques. * Validate the post-production model performance and calculate the ROI * Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc. * Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach. * Monitor the projects of Junior Data Scientists, and mentor and provide them guidance when needed. * Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems. * Communicate data science models’ complex results and the insights to the non-technical audiences. * Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes. # Experience, Qualifications, Knowledge, and Skills * Advanced degree in data science, statistics, computer science, or equivalent with a background in statistics. * Experience with healthcare and/or insurance data is a plus. * Proficiency in SQL, Python/R, NLP and LLM * 3-5 years of relevant work experience including 5 years of experience in developing algorithms using data science technologies to evaluate data scenarios and future outcomes. * Competent in machine learning principles and techniques. * Experience with cloud-based data and AI solutions. * Familiarity with collaboration environments (e.g. Jupyter notebooks, gitlab, github etc) # Commitment to Diversity, Equity, Inclusion, and Belonging At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day. # Equal Employment Opportunity Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. # Accessibility Support We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability and require reasonable accommodation with any part of the application and/or interview process, please email talentacquisition@zelis.com.</h1>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

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