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Tableau Analytics & Dashboards Specialist

Job in Newport News, Virginia, 23600, USA
Listing for: Swoon
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 70000 - 110000 USD Yearly USD 70000.00 110000.00 YEAR
Job Description & How to Apply Below

THIS IS OPEN AS A 3 MONTH CONTRACT TO HIRE

Essential Functions, Duties, and Responsibilities:
  • Builds and maintains dashboards and automated reports that track branch performance, efficiency, and customer service metrics.
  • Establishes performance baselines prior to each workflow change and measures results against those baselines after implementation.
  • Analyzes performance trends across branches to identify top performers, outliers, and root causes of variation.
  • Prepares executive-level performance summaries and visualizations
  • Conducts statistical analysis to evaluate the effectiveness of pilot programs before they are rolled out network-wide.
  • Partners with IT and data governance teams to resolve data quality issues, gaps, or system limitations.
  • Documents data definitions, sources, and calculation methodologies to ensure consistency and auditability of all reporting.
  • Builds self-service reporting tools and trains staff to interpret and use them independently.
  • Tracks longer-term adoption and sustainment metrics to confirm that process and training changes are holding after rollout.
  • Responds to ad hoc data requests from program leadership to support ongoing decision-making.
Qualifications:
  • Bachelor's degree in Business Analytics, Finance, Statistics, or related quantitative field, or equivalent experience.
  • Two to three years of experience in data analysis, reporting, or business intelligence, preferably within financial services.
  • Strong skills in data visualization and dashboarding tools (e.g., Excel, Power BI, Tableau, or similar) and comfort working with large datasets.
  • Ability to translate complex data into clear, actionable insights for non-technical audiences.
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