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Business Systems Analyst III
Job in
Charlotte, Mecklenburg County, North Carolina, 28201, USA
Listed on 2026-10-20
Listing for:
Spectraforce Technologies, Inc.
Full Time
position Listed on 2026-10-20
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst
Job Description & How to Apply Below
Location: Remote (preferably PST Time)
Duration: 12 Months with possibility to extend up to 30 months
Summary:
- Business Analyst with 6-7 years of experience in SQL, data modeling, pipeline development, and operational analytics, who can own and improve the data systems supporting all Enterprise Support pillars rather than only maintain them.
- Day to day this covers building and maintaining data pipelines, Hive tables, SQL queries, and dashboards. Beyond that, the role is expected to bring its own judgment: proposing better data models, applying AI and LLM tooling to accelerate data work and extract signal from unstructured support data, improving documentation and governance standards, and identifying reporting gaps.
- Priorities and direction are set with the Client manager, but the contractor owns how the work gets done and is expected to identify and recommend improvements.
- Must follow Client data handling and privacy standards, including appropriate data classification, least privilege access to sensitive datasets, and no storage of confidential or personally identifiable data outside approved internal systems. Must apply sound judgment about the appropriate use of AI and LLM tooling on internal data. Experience working within enterprise data governance and access control processes is required.
Skills:
Skills:
Experience:
5-7 years (Level III)
- Level four preferably
Required:
- Bachelor's degree in a quantitative, analytics, computer science, or information systems field, or equivalent practical experience. No specific certifications required.
Are there any types of candidate profiles or skills that may not be the right fit for this team?
- Candidates whose experience is limited to using dashboards or BI tools without writing their own SQL. Pure business or process analysts with no hands-on data engineering work. Candidates who have only worked in small, spreadsheet-driven datasets and have not operated production pipelines. Candidates who require constant direction, since this role works largely independently from written requirements.
- No demonstrable advanced SQL on the resume. No experience owning or maintaining production data pipelines. Inability to explain past pipeline or data modeling work in technical detail. Poor written communication, since status, documentation, and blockers are communicated in writing. Unable to work core hours overlapping PST.
- This is a single-person function, so the contractor owns the data systems end to end and is the first responder when a pipeline fails or a number looks wrong.
- Client's internal data tooling has a learning curve, and source systems are numerous and inconsistent, so data quality work is ongoing.
- Requirements arrive from the Client manager and must be executed with limited hand-holding, and the role must balance recurring reporting deadlines against ad…
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