Data Client Support Analyst

New
J
JobgetherFinancial data
Remote; based in Pune, India, 6:30 p.m. to 3:30 a.m. India Standard Time (IST); required US business-day scheduleFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
At least 3 years of professional experience in the financial investment or advisory industry.
Required Skills
SQLSalesforceMicrosoft Office

Requirements

  • At least 3 years of professional experience in the financial investment or advisory industry.
  • Solid understanding of capital markets, portfolio accounting, and customer relationship management.
  • Excellent written and verbal communication skills for working with clients and cross-functional teams.
  • Strong attention to detail and a methodical approach to investigating data issues.
  • Ability to manage competing priorities and deliver accurate outcomes.
  • Self-motivated and proactive approach, with ownership of responsibilities and follow-through to resolution.
  • Collaborative mindset and commitment to client satisfaction and service quality.
  • Experience documenting processes, identifying workflow inefficiencies, and recommending practical improvements.
  • Flexibility to work the required US business-day schedule, from 6:30 p.m. to 3:30 a.m. India Standard Time (IST).
  • Familiarity with Microsoft Office applications, Salesforce, Atlassian tools, SQL, Bloomberg, Thomson Reuters, or other financial services systems is preferred.

Responsibilities

  • Respond to client inquiries about portfolio data feeds and data product functionality, resolving them within established service-level agreements.
  • Manage internal Data team requests requiring client communication or action to investigate data verification issues.
  • Investigate client-reported bugs, data discrepancies, and processing problems.
  • Escalate technical issues to Product and Engineering teams when necessary.
  • Coordinate data-related escalations with Account Managers, Solutions Architects, and go-to-market stakeholders.
  • Communicate with clients, data providers, and internal teams to gather information, clarify issues, and provide updates.
  • Contribute to cross-functional projects that improve workflows and data management processes and support new product features and services.
  • Document team processes, recurring issues, and troubleshooting procedures.
  • Identify workflow improvements that increase operational efficiency and enhance client support.
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