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Data Client Support Analyst Jobs

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Credit Risk Senior Analyst
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Philippines , Taguig City
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Citi
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Credit Risk Senior Analyst, Assistant Vice President
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Philippines , Taguig City
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Citi
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Credit Risk Senior Analyst
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Philippines , City of Taguig, Metro Manila
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Citi
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Credit Risk Senior Analyst
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Philippines , City of Taguig
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Citi
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Credit Risk Senior Analyst
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Philippines , City of Taguig
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Citi
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Credit Risk Senior Analyst
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Philippines , Taguig
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Citi
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Finance Manager
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ProNexus
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Credit Risk Senior Analyst
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Philippines , City of Taguig, Metro Manila
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Citi
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Senior Digital Marketing Analyst
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Germany , Berlin; Düsseldorf
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WongDoody
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Analyst 2, Finance Operations (US - Rebates)
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Philippines , Biñan
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Sandisk
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Senior Quality Analyst
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India , Pune
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Citi
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Big Data Engineering Developer
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India , Pune; Chennai
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Citi
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Applications Development Senior Programmer Analyst
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India , Pune; Chennai
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Citi
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Applications Development Senior Programmer Analyst
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India , Pune; Chennai
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Liquidity Operations Testing Analyst
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Philippines , Taguig
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Citi
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Balance Sheet Management Analyst I
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Philippines , Taguig
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Citi
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Risk Policy Intmd Analyst
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India , Chennai
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Citi
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Fullstack Angular Engineer
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India , Chennai
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Citi
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Java Angular Fullstack Developer
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India , Chennai
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Citi
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Java Backend Engineer
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India , Pune
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Citi
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Explore Data Client Support Analyst jobs and discover a dynamic career at the intersection of data, technology, and client service. This critical role acts as the primary liaison between an organization's data products or platforms and its end-users, ensuring clients derive maximum value from complex data services. Professionals in this field are problem-solvers and communicators, dedicated to maintaining data integrity, resolving client issues, and enhancing the overall user experience. A Data Client Support Analyst typically manages a wide range of responsibilities centered on client success. Their core duty involves triaging and resolving client inquiries and issues related to data feeds, product functionality, and reporting discrepancies, often adhering to strict service level agreements (SLAs). This requires deep investigation into potential data processing bugs or anomalies, collaborating closely with internal engineering and product teams to diagnose root causes and implement solutions. Furthermore, these analysts proactively monitor data quality, perform verification and validation checks, and manage client-facing communications to confirm data accuracy. They also play a key partnership role, aligning with account management, sales, and solutions teams to ensure a unified approach to client data needs and to support onboarding and ongoing education. The skill set for these jobs is a unique blend of technical aptitude and exceptional interpersonal abilities. A strong analytical mindset is paramount, often supported by foundational skills in SQL for querying databases and an understanding of data structures and flows. Familiarity with CRM platforms like Salesforce and support ticketing systems is common. Crucially, professionals must possess outstanding communication skills to translate complex technical data concepts into clear, actionable insights for non-technical clients. A background in or understanding of the industry served by the data—such as finance, healthcare, or marketing—is highly valuable, providing essential context for the data's use. Common requirements include a bachelor's degree in a relevant field like information systems, finance, or business, coupled with prior experience in client support, data analysis, or a related operational role. Success in these positions demands meticulous attention to detail, a process-oriented approach to documentation, a proactive client-centric mentality, and the ability to thrive in a collaborative, cross-functional environment. For those seeking a career that combines technical challenges with direct client impact, Data Client Support Analyst jobs offer a rewarding pathway. This profession is ideal for individuals passionate about data-driven decision-making and committed to being the trusted expert who ensures client success and fosters long-term partnerships through superior support and data stewardship.

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