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Tier-1 employer, mid-level generalist role (1–5 yrs), common SQL/Python skillset increases applicant competition.
Core skills (SQL, Python, data integration) are highly transferable across industries.
Explicit 1–5 years plus mandatory advanced SQL and Python raises filter strictness.
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Manage and execute data integration tasks using tools like advanced SQL, Excel, Access, and XML to ensure accurate file-based data flows from external systems.
Partner with internal Service, Implementation, and Product teams to resolve data and product issues efficiently, including running scheduled jobs and validating product releases.
Identify and implement operational efficiencies by streamlining and automating processes, reducing manual intervention.
Bachelor's degree in Information Systems or equivalent training and experience.
1-5 years of experience in data integration and technical service roles.
Advanced knowledge of SQL and Python mandatory.
Experience with Siebel and Confluence is a plus; understanding of HR, benefits systems, and payroll processing is advantageous.
Strong technical operator comfortable working with complex data integration and troubleshooting across multiple systems and teams.
Experience working in environments requiring coordination among product support, implementation, and service functions.
Ability to manage multiple projects simultaneously with a focus on results and process improvement.