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Overview
Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidates for the role of Analyst II to support the Data Science team. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill the deliverables on a timely basis.
Key Skills
Strong Analytical and ProblemSolving Skills Statistical Modelling Data Analysis Macro Economic Modeling Machine Learning etc.
Primary Responsibilities Include but Are Not Limited To
Perform Adhoc statistical analyses and reports striving for high customer satisfaction going out of our way to be helpful and pleasant and making it as easy as possible on the customer.
Experience with API data ingestion and data management. Familiarity with API integration to assist our customer with questions about properly integrating and using our data in collaboration with the lead data scientist and technical experts. Be able to provide advice on optimal data architecture and data flows.
Work on a collaborative teambuilding strong working relationships and a positive work environment with our team of data scientists technical teams and sales teams to develop solutions for the business needs of our clients.
Leverage big data and modern analytic techniques to develop creative solutions planning ahead managing time well and thinking of better ways to do things.
Achieving a standard of excellence with our work processes and outcomes honoring client policies and all regulatory requirements.
Requirements
2 to 4 years of applicable experience with a degree in Math Statistics Computer Science or related field
Detail oriented and experience with creating business professional reports and presentations.
Understanding of exploratory data analysis summary statistics hypothesis testing and sampling.
Analytical skills with the ability conduct research utilizing Python /PySpark or other language to manipulate data and conduct statistical analysis.
Strong SQL skills
Ability to effectively communicate complex ideas to both a technical and nontechnical audience.
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