Data Fulfillment Analyst - Intermediate
The ideal candidate will drive execution across the project life cycle including extraction, processing, and on time delivery of data back to the customer ensuring 100% accuracy leveraging your foundational knowledge of SQL and Linux deliver accurate data solutions.
What you’ll do
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Analyze requirements and determine the best course of action.
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Extract and refine data using a variety of proprietary tools.
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Append scores and attributes as requested.
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Perform quality control and deliver data to our customers.
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Create concise documentation for each project.
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Work with multiple groups within the organization to ensure project success.
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Recommend and implement improvements on new and existing projects.
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Design, develop, test, and deploy Python and RPA automations.
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Develop and execute scripts to extract and refine data
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Identify and prioritize automation opportunities.
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Translate customer business objectives and technical requirements into clear, executable project plans.
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Maintain exceptional organization skills and rigorous attention to detail to manage multiple, concurrent customer engagements and data integrity checks.
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Work collaboratively with the Sales, Product, and Development teams to scope projects and support product enhancement initiatives.
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Following job execution, facilitate post-delivery interpretation meetings to explain the resulting data elements and findings, ensuring both internal and external customers fully understand the output for their strategic execution.
What experience you need
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Bachelor's degree in computer information systems, computer science, math, statistics or accounting.
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English B2+/C1
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2+ Years of proven experience working with relational databases.
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2 years Identifying, designing, and deploying robust Python and RPA automation solutions, including data extraction and refinement scripts, to continuously improve new and existing projects
Internal Employees
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No disciplinary actions within the last 3 months, before and during the recruitment process and not being part of a PIP.
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Minimum 1 year in the current position.
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Currently enrolled as a 2nd-year University student in Computer Information Systems, Computer Science, Math, Statistics, or Accounting.
What could set you apart
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Knowledge or experience in SQL, Linux, Perl, XML, Python or SAS.
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Experience working with large datasets.
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Experience working with data dictionaries and layouts.
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Experience working with multiple file types and formats including fixed block and variable block.
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Experience working with file encoding including ASCII, UTF, EBCDIC, and UNICODE.
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Related certifications.