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Implementation Analyst-Data Intelligence

Pan-India

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Full Time-Remote

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4-7 years

Primary Responsibility:

  • Lead customer implementations from kickoff to go-live, meeting timelines and deliverables

  • Configure data mapping, file transfers and API connections using our proprietary tools, and run validation testing

  • Act as the key point of contact for customers, uncovering their business needs and designing the right solutions

  • Partner with Product, Engineering, Customer Success and fintech vendors to resolve technical and integration issues

  • Investigate data discrepancies, mapping errors and connectivity issues, and maintain clear documentation

Job Specification:

  • Bachelor’s degree in Computer Science, Engineering or a related discipline

  • 4+ years of experience in technical implementations, data operations or systems integration (fintech, SaaS or financial services preferred)

  • Strong command of SQL, data warehousing, data models, schema design, stored procedures and query optimization

  • Working experience in JavaScript and/or PHP

  • Domain knowledge of regulated, high-volume transaction systems (banking or credit union experience preferred)

Required Skills & Tools:

  • Strong problem-solving and analytical skills with attention to detail

  • Excellent communication skills, including explaining technical issues to non-technical users

  • Ability to troubleshoot across the full tech stack

  • Experience presenting or consuming APIs, and familiarity with CRM or ERP platforms

  • Ability to manage multiple projects at once, with a strong sense of ownership

Preferred Skills:

  • Familiarity with ETL/ELT, SFTP and secure file transfers

  • Ability to read application logs and troubleshoot across databases, APIs and file-transfer workflows

  • Experience with data validation, reconciliation and quality checks on high-volume datasets

  • Familiarity with Git and basic scripting or automation

  • Awareness of secure handling of sensitive financial data, role-based access and data privacy

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