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

• Analyze requirements and determine the best course of action.

• Extract and refine data using a variety of proprietary tools.

• Append scores and attributes as requested.

• Perform quality control and deliver data to our customers.

• Create concise documentation for each project.

• Work with multiple groups within the organization to ensure project success.

• Recommend and implement improvements on new and existing projects.

• Design, develop, test, and deploy Python and RPA automations.

• Develop and execute scripts to extract and refine data

• Identify and prioritize automation opportunities.

• Translate customer business objectives and technical requirements into clear, executable project plans.

• Maintain exceptional organization skills and rigorous attention to detail to manage multiple, concurrent customer engagements and data integrity checks.

• Work collaboratively with the Sales, Product, and Development teams to scope projects and support product enhancement initiatives.

• 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 

• Bachelor's degree in computer information systems, computer science, math, statistics or accounting.

• English B2+/C1

• 2+ Years of proven experience working with relational databases. 

• 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

• No disciplinary actions within the last 3 months, before and during the recruitment process  and not being part of a PIP.

• Minimum 1 year in the current position.

What could set you apart

• Knowledge or experience in SQL, Linux, Perl, XML, Python or SAS.

• Experience working with large datasets.

• Experience working with data dictionaries and layouts.

• Experience working with multiple file types and formats including fixed block and variable block.

• Experience working with file encoding including ASCII, UTF, EBCDIC, and UNICODE.

• Related certifications.

Primary Location:

Function:

Schedule: