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Data File Analyst Jobs

229 Job Offers

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Software Developer
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United States , Alpharetta
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70000.00 USD / Year
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Competent Systems
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Insurance Business Analyst
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United States , Reston
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Not provided
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Intellibus
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Pricing Analyst
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United States , Peoria, Illinois; Greenville, South Carolina
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67151.83 - 85881.27 USD / Year
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Advanced Technology Products
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AI Project Management Analyst III
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United States , Chantilly
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Not provided
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Arcfield
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Financial Aid Analyst
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United States , Irvine
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25.95 - 35.04 USD / Hour
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American Career College
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Senior Finance Analyst
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Philippines , Biñan
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Not provided
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Sandisk
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Total Rewards Analyst & Stock Administrator
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United States
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92000.00 - 146000.00 USD / Year
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Data Engineer
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Coherent Solutions
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Regulatory Reporting Analyst
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Philippines , Taguig
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Citi
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Valuation Control Senior Analyst
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Hungary , Budapest
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Citi
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CRIU Analyst
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Mexico , Ciudad de Mexico
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Citi
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Tax Intermediate Analyst
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Ireland , Dublin
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Citi
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Applications Development Senior Programmer Analyst
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India , Pune
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Citi
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Tax Analyst
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India , Mumbai
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Citi
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Global Risk Review Analyst
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Ireland , Dublin
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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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Citi
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Power BI Consultant
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Portugal , Lisboa
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Fyld
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Senior Benefits and Compensation Analyst
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United States , Spokane, WA
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91500.00 - 125000.00 USD / Year
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Robert Half
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Python Developer
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India , Pune; Chennai
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Citi
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Explore a career as a Data File Analyst, a critical role at the intersection of data management, business operations, and technology. Data File Analyst jobs are ideal for detail-oriented professionals who excel at ensuring the seamless flow and integrity of structured data between systems and organizations. These specialists are the backbone of reliable data pipelines, transforming raw information into accurate, usable formats that drive business decisions, compliance, and client services. In this profession, individuals typically manage the end-to-end lifecycle of data files. A core responsibility involves receiving, reviewing, and validating incoming data files from various sources, such as clients or internal departments, to ensure they meet predefined specifications for format, completeness, and accuracy. Analysts then map these source files to target system requirements, defining and applying transformation rules to convert data into a compatible structure. This process is fundamental for system integrations, client onboarding, and routine data exchanges. Furthermore, Data File Analysts are tasked with monitoring automated file processing jobs, performing quality assurance checks, and troubleshooting any failures or discrepancies that arise. They play a key role in both project-based implementations and ongoing operational support, maintaining detailed documentation of processes and rules. The typical skill set for these jobs combines technical aptitude with strong analytical and communication abilities. Proficiency with structured data formats like CSV, XML, TXT, and fixed-width files is essential. Analysts must be adept at using tools such as Excel for data manipulation and analysis, and they often work with database querying (SQL) and ETL (Extract, Transform, Load) concepts. A meticulous eye for detail is paramount for spotting data anomalies and ensuring flawless outputs. Soft skills are equally important; analysts must translate business needs into technical specifications and collaborate effectively with both technical teams and non-technical stakeholders. Common requirements for Data File Analyst positions include a bachelor's degree in information systems, computer science, finance, or a related field, though equivalent practical experience is often valued. Familiarity with the specific industry's data—such as finance, insurance, healthcare, or logistics—is a significant advantage, as is experience with data governance and quality assurance protocols. For those who enjoy solving puzzles, optimizing processes, and working with data to support core business functions, Data File Analyst jobs offer a stable and rewarding career path with opportunities to specialize and advance into data engineering, business analysis, or data governance roles.

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