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Data Client Support Analyst

🕒 7 days ago
Client SupportPortfolio Data FeedsFinancial Data ProductsCapital Markets
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📜 Description

  • Respond to client inquiries about portfolio data feeds and product functionality, resolving issues within service-level agreements.
  • Coordinate client communication and action on data verification requests from internal Data teams.
  • Investigate bugs, data discrepancies, and processing problems; escalate technical issues to Product and Engineering as needed.
  • Work with Account Managers, Solutions Architects, and other stakeholders to coordinate escalations and support positive client outcomes.
  • Contribute to workflow and data-management improvements, new product initiatives, and troubleshooting documentation.
  • Identify opportunities to improve operational efficiency and the client support experience.

🛠️ 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.
  • Strong written and verbal communication skills and ability to work effectively with clients and cross-functional teams.
  • Attention to detail and a methodical approach to investigating data issues, managing priorities, and delivering accurate outcomes.
  • Proactive ownership, collaboration, and commitment to client satisfaction and service quality.
  • Experience documenting processes, identifying workflow inefficiencies, and recommending improvements.
  • Ability to work the required US business-day schedule: 6:30 p.m. to 3:30 a.m. IST.
  • Familiarity with Microsoft Office, Salesforce, Atlassian tools, SQL, Bloomberg, Thomson Reuters, or other financial services systems is preferred.

✨ Benefits

  • Opportunity to work with financial data products that support investment professionals and portfolio management workflows.
  • Collaboration with client-facing, data, product, and engineering teams in a cross-functional environment.
  • Exposure to financial technology, portfolio data management, and data quality initiatives.
  • Opportunities to contribute to process improvements, product development initiatives, and operational enhancements.
  • A culture that values ownership, collaboration, client success, innovation, and continuous learning.
  • Healthcare coverage
  • Paid leave
  • Other specific benefits are not detailed in the available job description
  • Jobgether - Data Client Support Analyst
Full job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Data Client Support Analyst based in Pune, India.

Join a client-focused data management team helping investment professionals maintain accurate, reliable, and actionable portfolio information. In this role, you will serve as a key point of contact for clients, data providers, and internal teams, resolving data-related inquiries and supporting the effective use of financial data products. You will investigate data discrepancies, troubleshoot processing issues, and coordinate with technical teams to address complex problems. Working closely with client-facing and product stakeholders, you will help deliver timely resolutions and maintain a high standard of service. You will also contribute to process improvements, documentation, and initiatives that enhance data quality and operational efficiency. This opportunity is ideal for a detail-oriented professional with financial services knowledge, strong communication skills, and a commitment to client success.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

Accountabilities

  • Respond to client inquiries concerning portfolio data feeds and data product functionality, ensuring timely and accurate resolutions within established service-level agreements (SLAs).

  • Manage requests from internal Data teams that require client communication or action to investigate and resolve data verification issues.

  • Investigate client-reported bugs, data discrepancies, and processing problems, escalating technical issues to Product and Engineering teams when necessary.

  • Collaborate with Account Managers, Solutions Architects, and go-to-market stakeholders to coordinate data-related escalations and achieve positive client outcomes.

  • Communicate clearly with clients, data providers, and internal teams to gather information, clarify issues, and keep relevant stakeholders informed.

  • Contribute to cross-functional projects that improve internal workflows, strengthen data management processes, and support the introduction of new product features and services.

  • Maintain accurate documentation of team processes, recurring issues, and troubleshooting procedures.

  • Identify opportunities to improve workflows, increase operational efficiency, and enhance the overall client support experience.

  • 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, with the interpersonal ability to work effectively with clients and cross-functional teams.

    • Strong attention to detail and the ability to investigate data issues methodically, manage competing priorities, and deliver accurate outcomes.

    • A self-motivated and proactive approach, with a willingness to take ownership of responsibilities and follow issues through to resolution.

    • A collaborative mindset and a strong 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.

    • Must have legal authorization to work in India from the first day of employment. Visa sponsorship is not available for this position.

    • Benefits:

      • Opportunity to work with financial data products that support investment professionals and portfolio management workflows.

      • Collaboration with client-facing, data, product, and engineering teams in a cross-functional environment.

      • Exposure to financial technology, portfolio data management, and data quality initiatives.

      • Opportunities to contribute to process improvements, product development initiatives, and operational enhancements.

      • A culture that values ownership, collaboration, client success, innovation, and continuous learning.

      • Salary, healthcare coverage, paid leave, and other specific benefits are not detailed in the available job description.

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