Dun & Bradstreet - Analyst - Data & Analytical Resources

Analyst

Roles and Responsibilities :

- Apply project management skills, statistical expertise, and knowledge of credit data and analytical resources to determine the scope, design, development of data requirements and specifications, statistical analysis or mathematical modeling, summarize results in PowerPoint, including partnership with regional analytical groups, and ensure that deliverables are in accordance with client expectation and business need within time and cost constraints.

- Participate in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting

- Research complex business issues and engage clients to identify their business needs. Develop, implement, and recommend solutions, including model inputs and end products.

- Strong client collaboration skills, including the ability to build and maintain relationships with clients, potentially C-level executives

- Hands on experience with developing statistical and machine learning solutions, and familiarity with big data technologies.

- Implementation of innovative, strategic, transformational, cross-functional analytic initiatives utilizing agile or lean methodologies.

In this role you will have the opportunity to interact directly with clients and will be required to travel up to 50%.

Role Requirements :

- Master's or PhD degree in quantitative disciplines such as Statistics, Economics, Operations Research, and Mathematics with 1+ years of applicable experience.

- Experience and demonstrated success in client-facing roles over a period of at least one year.

- Expertise in writing programs for data extraction, segmentation and statistical analysis on large Hadoop datasets using languages such as R, SAS, SQL, Hive, Python, C/C++, Java and Pig on Linux, PC, and Hadoop computing platforms. R application development experiences a plus. High level of familiarity with Microsoft Office tools.

- Ability to effectively communicate complex ideas to both a technical and non-technical audience

- Willingness to travel to client locations as needed

- Creative and inquisitive in nature, flexibility to learn and apply new methodologies.

- Strong project management skills with the ability to manage multiple assignments effectively, set priorities and develop work plans, assemble project teams, structure and execute quantitative analyses, oversee support staff, and meeting deadlines.

Candidate Skills :

- Expertise in client facing roles

- Expertise in analytics,statistical analysis

- Hands on experience in working on R and Python