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Data Systems Analyst
Shamrock Trading CorporationOverland Park, United Statesfull_timeVerifiedPosted 12 Aug 2025
About the role
Company Overview Shamrock Trading Corporation is the parent company of a family of brands in transportation services, finance, and technology. Headquartered in Overland Park, KS, Shamrock is frequently recognized among the “Best Places to Work” in Kansas City and Chicago and was most recently recognized as one of America’s top 100 “Most Loved Workplaces” by Newsweek. We also have offices in Atlanta, Chicago, Dallas, Ft. Lauderdale, Houston, Laredo, Nashville, and Phoenix. Overland Park is a great place to live, work and play, being conveniently located within driving distance of everything Kansas City has to offer. Housed within the heart of Overland Park, our offices include 4 gorgeous towers on the East and West sides of Metcalf Ave. With a heavy community presence and a winning culture, Shamrock is a great place to work in Overland Park! With an average annual revenue growth of 25% over several decades, Shamrock’s success is attributed to three key factors: hiring the best people, cultivating long-term relationships with our customers, and continually evolving in the marketplace. Responsibilities Shamrock Trading Corporation is looking for a Data Systems Analyst to join the Data Services team. The primary objective of this role is to support and extend Shamrock technology solutions related Data source integrations and pipeline projects. This role will be collaborate extensively with both our Shamrock business unit leadership as well as the Shamrock Technology team. The role will create/contribute to business case development, requirements articulation, project/program planning, produce test plans and ultimately help deliver technology solutions that support the growth of Shamrock.
- Monitor project progress by tracking activity, coordinating problem resolution, publish progress reports, and recommending actions.
- Define project requirements by identifying project timelines, phases and elements, determining scope, and establishing project expenses.
- Differentiate user requests from the underlying true needs and distinguish solution ideas from requirements.
- Work with business owners to convert high-level business and user requirements into functional requirements and prioritize requirements.
- Manage changes to baseline requirements through effective application of change control processes and tools and manage system enhancement requests.
- Implement appropriate mitigation strategies that may involve compromises with respect to scope and schedule.
- Prepares technical reports by collecting, analyzing, and summarizing information and trends.
- Create workaround procedures when standard procedures have failed and ensure issues are resolved in a timely fashion.
- Develop Jira stories sub-tasks and define acceptance criteria.
- Create and use entity relationship diagrams and process flow diagrams.
- Work closely with data architecture, lead data engineer, and principal data engineer to develop and document project technical requirements and architectural processes.
- Write project requirements documents.
- Work closely with enterprise project management teams, Data Services, and Data/ML engineers on a daily basis.
- Bachelor’s degree or equivalent experience.
- Excellent verbal and written technical communication skills.
- Technical writing experience is a plus.
- Demonstrated ability and willingness to learn new skills.
- Strong analytical, innovative and problem-solving skills.
- Exposure to (experience with preferred) SQL and Python.
- Exposure to SDLC and Agile engineering best practices.
- Minimum 2 years experience with Data Engineering - related to ETL, Relational Data, Non-Relational Data, SFTPs, Databases, Data Lakes, Reporting (PBI or equivalent), and data integration projects.
- Ability to understand business requirements and translate them into technical steps and requirements.
- Strong understanding o
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