Job Description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Junior Data Analyst w/Python (Hybrid) to join our team in King Of Prussia, Pennsylvania (US-PA), United States (US).

We have an opening for a very junior resource to work on the Data Ops team.  This role is an Associate level where we like to start people out as it is a good area to learn and understand the business.  Below is the job description for the role. 

Job Responsibilities Include:

• As a Data Analyst, you will be the liaison between Operations, Solutions, Product and Development teams, working closely to identify, develop, and implement product and technology-based solutions to increase efficiency, improve data quality, and mitigate the risk that can emanate from data issues.
• You will be a contributing member of a team responsible for daily data pipeline oversight processes to ensure our client’s data is delivered reliably, accurately, and comprehensively.
• You’ll be documenting and implementing business and functional requirements.
• You will be responsible for developing an understanding financial accounting data content and workflows.
• You will be expected to maintain a general understanding of our various businesses, client businesses and financial services generally.
• You will document UAT/acceptance test cases and Perform UAT/acceptance testing.
• We want you to succeed and look for future solutions! Through attending and participating in various IMS and corporate professional development sessions, you will acquire the tools to identify processes across the division and organization. You will have the opportunity to partner with a diverse team and grow your career.

Basic Qualifications:

• 1 – 3 years of experience as a Data Analyst

Preferred Skills: 

• BA/BS in Computer Science, MIS, Mathematics, Finance, Accounting, Business, or applicable experience.
• Hands on experience with Python
• Comfort with querying and analyzing large data sets with SQL and/or other languages and tools.
• Knowledge of financial accounting data domains.
• Financial Services experience, preferably FinTech experience in Asset Management or Wealth Management.
• A working understanding of Agile and Iterative development methodologies.
• Experience with software development management/tracking tools (i.e. JIRA, Confluence, etc.).

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About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at  us.nttdata.com

NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at .  This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

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