> Markdown version of [/jobs/ext/3758534-data-analyst](https://www.wearedevelopers.com/jobs/ext/3758534-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Staffmark - **Location:** Plano, TX, United States - **Experience:** Experienced - **Salary:** $80,766.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Big Data, Information Systems, Data Validation, Pivot Tables, Power BI, DataOps, SAP (Applications), Tableau (Software) - **Published:** October 15, 2026 - **Apply:** https://www.dice.com/job-detail/f8f275a1-831d-4267-983e-9c9a8d262cd0 ## About the Role Bachelor's degree in Business, Finance, Economics, Information Systems or a related field. 2-3 years of experience in reporting, data operations, business analysis or a comparable role with recurring deliverables. Advanced Microsoft Excel: pivot tables, lookup and reference functions, conditional logic, and comfort working with large datasets. Demonstrated accuracy and attention to detail in a deadline-driven, repeating work cycle. Clear, professional written communication suitable for stakeholder-facing email. Ability to work independently on a fixed schedule with limited day-to-day supervision. Preferred Skills: Experience with ERP or business intelligence tools (SAP, Power BI, Tableau or equivalent). Exposure to sales, pricing or trade finance data in a consumer electronics or consumer goods environment. Experience documenting or automating recurring reporting processes. ## Description Daily data upload - Upload source data into the reporting environment on a fixed daily schedule and confirm completeness before reports are generated. Data validation - Reconcile uploaded data against source systems, identify missing, duplicate or out-of-range values, and correct or escalate before publication. Report generation - Produce daily, weekly and monthly reports from established templates, ensuring figures, periods and formats are consistent with prior cycles. Distribution - Distribute completed reports by email to defined stakeholder lists on schedule, with clear subject lines and a short summary of any notable changes. Error handling - Investigate reported errors and data questions, trace them to the source system or upload step, coordinate with the data owner, and track each issue through to resolution. Stakeholder support - Respond to stakeholder questions on report contents, metric definitions, cut-off timing and methodology; escalate items requiring analytical judgment to the reporting manager. Documentation - Maintain written procedures for each recurring report, including data sources, steps, recipients and schedule, so the cycle can be run without interruption during absences. Process improvement - Identify repetitive manual steps in the cycle and propose simplification or automation opportunities to the reporting manager.