Top Data Analytics Jobs

Why We Work at Dun & Bradstreet

Dun & 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!

Data Science sit at the core of what we do at Dun & Bradstreet. We use modeling, statistics, machine learning, and visualizations techniques to develop new analytics solutions by leveraging new innovative data types and data sources.

A Data science role involves discovering underlying trends in data, extracting, modeling and predicting key insights through novel machine learning techniques, and driving their implementation to drive revenue. You will perform analytics to improve and develop Dun &

Bradstreet’s offering as well as delivering value in client specific case in close collaboration with related groups.

Key Responsibilities

• Perform machine learning developments on (very) large datasets with different types of data from Dun & Bradstreet's unique sources as well as several different types of unstructured data, such as online content or textual documents.

• Develop models and new variables through cutting-edge machine learning and NLP techniques.
• Deliver insights in descriptive reports or presentation.
• You will contribute with your expertise on new data sources and internal product development processes to assist other members of the team.
• Stay up-to-date with the latest developments in the field of machine learning and artificial intelligence.

• You are curious, creative and like to learn new things.
• You see solutions, not the problems!
• You have a strategic mindset
• You like working in teams
• You are a social person who likes to share your expertise, experiences and tips.
• You are flexible and thrive on change

• You have an analytical and critical thinking as well as a highly curious and eager-to-learn mindset.

• Good knowledge of Python
• 2-6 years of experience of working within analytics. You have focused on Statistical modeling, Machine learning or Natural Language Processing for at least 1 year.

• You have strong communication skills and good knowledge of speech and writing in English. French, German or Swedish is a plus.

• Knowledge on transformer models or related self-attention/deep learning models is a strong plus.

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.

Global Recruitment Privacy Notice

Greenlight is a fintech company that makes a debit card for kids and companion apps for the family. We proudly serve more than 6 million parents and kids, with in-app tools for sending money, setting savings goals, monitoring balances, managing chores, automating allowance, and investing.

But that’s not all that we do. Here at Greenlight, we are on a mission to support parents and help every kid grow up to be financially healthy and happy. It’s no small task, but it’s the reason we leap out of bed every morning to come to work. Because creating a better, brighter future for kids depends on it.

As an Analytics Engineer, you will play a crucial role in developing and implementing data models and analytics solutions using DBT and Snowflake. Your primary focus will be on leveraging these technologies to design and build scalable data pipelines, perform complex data transformations, and develop analytical models that contribute to our risk management and re-platforming strategies. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the successful delivery of robust and reliable solutions.  You will be responsible for change management of re-platforming efforts of the existing data models to the new platform.

Responsibilities:

• Utilize DBT and Snowflake to design, develop, and maintain scalable and efficient data pipelines for analytics purposes.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models.
• Perform complex data transformations, including data cleaning, aggregation, and enrichment, to ensure the availability of high-quality data for analysis.
• Develop and maintain analytical models and algorithms to support data assessments, portfolio analysis, and predictive modeling.
• Optimize and fine-tune data pipelines and models to improve performance, accuracy, and reliability.
• Conduct data profiling, analysis, and validation to identify data quality issues and implement appropriate solutions.
• Monitor and troubleshoot data pipelines and analytics workflows to ensure smooth and efficient operations.

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Advanced degree preferred.
• Prior experience working as a Data Engineer, Analytics Engineer, or similar role preferably in the fintech or financial services industry.
• Proficiency in implementing data solutions using DBT (Data Build Tool) and Snowflake is essential.
• Strong knowledge of SQL and expertise in data modeling, data warehousing, and ETL processes.
• Experience with Python or other programming languages for data manipulation and scripting.
• Familiarity with risk management concepts and analytics methodologies in the fintech domain.
• Demonstrated ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills and attention to detail, with a focus on delivering high-quality, reliable solutions.
• Experience with version control systems (e.g., Git) and agile development methodologies is a plus.
• Familiarity with other data engineering tools, such as Apache Airflow, is a plus.

Now, it takes a special kind of person to join a never-been-done-before mission like ours. We need people who love working with each other because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help parents raise a generation of financially smart kids, apply to join our team today.

Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.