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IT Programmer Analyst, Practitioner (Dashboard Specialist)
IT Programmer Analyst, Practitioner (Dashboard Specialist)VDart Inc • Frisco, TX, United States
IT Programmer Analyst, Practitioner (Dashboard Specialist)

IT Programmer Analyst, Practitioner (Dashboard Specialist)

VDart Inc • Frisco, TX, United States
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Job Title : IT Programmer Analyst, Practitioner (Dashboard Specialist)

Job Location : JRA Building, PGA Campus

Job Type : Long-term contract

Position Overview

The IT Programmer Analyst, Practitioner will design, develop, integrate, and enhance applications and dashboards supporting mission-critical operational workflows. This role collaborates closely with Business Systems Analysts, software engineers, and data scientists to ensure systems and dashboards are intuitive, reliable, and aligned with business needs.

A major responsibility includes supporting the Fossil Graphics Modernization Project , where the candidate will build modern, high-impact visualization screens for fossil power plants-used by Operations, Engineering, and Executive leadership. The ideal candidate has strong dashboarding skills, an eye for detail, spatial reasoning, and a willingness to learn new technologies.

Key Responsibilities

  • Analyze, design, develop, test, debug, and maintain new or existing systems and dashboards.
  • Build high-value operational dashboards for fossil power plants.
  • Work with project leads, Business Systems Analysts, and SMEs to convert requirements into functional visualizations.
  • Organize and structure complex data in a way that supports operator decision-making.
  • Use dashboarding and design principles to minimize cognitive load and maximize readability.
  • Collaborate with software engineering and data science teams to source and integrate backend data.
  • Ensure performance, reliability, and usability across all dashboards.

Required Skills

Technical Skills

  • Dashboarding tools : Grafana , Power BI , Tableau (any of these).
  • UX / UI or design tools : Adobe Illustrator , UI / UX principles, web-design fundamentals.
  • Ability to run SQL queries (required).
  • Basic Python scripting (nice to have).
  • Experience with application development, debugging, and system integration.
  • Understanding of modern SDLC practices.
  • Preferred Backgrounds

  • Computer Science, Engineering, Data Analytics, or Business (preferred, not required).
  • Experience working with technical teams (engineers, data scientists).
  • Soft Skills

  • Strong spatial reasoning and attention to detail.
  • Ability to create dashboards that reduce cognitive load.
  • Excellent communication and collaboration.
  • Willingness to learn and adopt new tools.
  • Mandatory Candidate Questions

    (Recruiters MUST ask these questions. Add the candidate's answers directly to the resume.)

    1) Design & UX Reducing Cognitive Load

    Question :

    "When you have a very dense dashboard or operator screen with lots of numbers and charts, how do you reduce cognitive load without hiding important information?"

    Strong Answers Should Mention :

  • Grouping related information
  • Visual hierarchy (titles, grids, clear sections)
  • Progressive disclosure
  • Reducing visual noise
  • Consistent units, scales, formats
  • Red Flags : hiding / deleting info with no access, no mention of grouping or consistency.

    2) Comparing Multiple Assets Fairly

    Question :

    "Imagine you're comparing performance across many similar assets or sites. How do you design visuals so the comparison is fair and easy to read?"

    Strong Answers Should Include :

  • Standardized scales / axes
  • Normalization (per MW, % of target, per unit)
  • Small multiples
  • Consistent colors and encodings
  • Red Flags : different scales, dual axes, unfair comparisons.

    3) Filters & Misleading Interpretations

    Question :

    "Users often apply filters on dashboards (by date range, site, equipment, etc.). What do you do to prevent misleading interpretations when filters are applied?"

    Strong Answers Should Include :

  • Highly visible active filters
  • Warnings when filter reduces or skews data
  • Guardrails (minimum data thresholds)
  • Prevent or validate invalid filter combinations
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