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TransUnion

credit reporting · fraud detection

Analyst (Data Analytics - IP (Internet Protocol)) (Pune Division)

MumbaiPosted 1 month ago
Data Science And StatisticsJuniorFull Time; Regular
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TransUnion's Job Applicant Privacy Notice Team Overview This is an exciting opportunity to be a part of the Global fraud solutions team focused on developing TransUnions TruValidate IP Intelligence suite which is at the forefront of internet topology and networking. Your work will have a direct impact on the quality of Transunion products, and the level of service we are able to provide to our customers. At TransUnion, we strive to build an environment where our associates are in the drivers seat of their professional development, while having access to help along the way. At TransUnion, we encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview And Core Responsibilities - The Analyst will be responsible for supporting product managers, data managers and senior analysts in executing initiatives that are aimed at growing revenue and advancing technology around the IP (Internet Protocol) topology. - You will be working with other Data Analytics Team members as well as Engineers and Data Scientists to help improve automation algorithms and leveraging big data to arrive at the most up to date, accurate information to our customers. - Conduct ongoing data analyses in support of key customers, suppliers, and sales opportunities. - Work closely with the customer support team to ensure all response and resolution requirements are met. - Ensure accuracy by performing IP data audits. - Identify and deliver transparent and concise process improvements and/or product requirements to help drive the data roadmap. Identify new authoritative data sourc .

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