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ISC2

Reporting & Analytics Engineer

ISC2

Reporting & Analytics Engineer designing Power BI dashboards and custom visualizations for ISC2. Engaging in data analysis and stakeholder communication to inform strategic decisions.

Posted 6/29/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Power BI development, including semantic modeling and DAX, while applying UX design principles to create intuitive data visualizations. Proficient in statistical analysis and data storytelling, effectively translating complex data insights into actionable business strategies.

Highest-signal resume keywords
Power BI DevelopmentDAX Measure AuthoringHTML/CSS/JavaScript ProficiencyStatistical AnalysisData Storytelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Power BIDAXHTMLCSSJavaScriptD3.jsChart.jsPlotlyStatistical MethodsData Profiling
Soft Skills
Communication SkillsData Storytelling
Tools & Technologies
Power BIData Visualization LibrariesAI Tools
Industry Keywords
User Experience DesignInformation ArchitectureResponsive LayoutUsability HeuristicsExploratory AnalysisPredictive AnalysisKPI DevelopmentData Catalog Practices

Tech Stack

Tools & technologies
D3.jsJavaScript

About the role

Key responsibilities & impact
  • Design and develop stakeholder-facing analytical applications, including interactive Power BI dashboards and custom HTML/CSS/JavaScript visualizations.
  • Apply user experience (UX) design principles — including information architecture, responsive layout, and usability heuristics — to maximize clarity across technical and non-technical audiences.
  • Select and implement front-end data visualization libraries to render complex dimensional relationships as intuitive, interactive experiences.
  • Build and maintain reporting deliverables across Power BI semantic models, interactive HTML dashboards, and formatted Excel workbooks, translating complex dimensional relationships into stakeholder-ready visualizations.
  • Perform exploratory, diagnostic, and predictive analysis across structured and semi-structured datasets, applying statistical methods including descriptive, inferential, and regression analysis.
  • Proactively mine organizational data assets to discover new insights, identify emerging trends, and surface previously unrealized opportunities that inform strategic decision-making.
  • Translate business objectives into measurable KPIs and build analytical frameworks through stakeholder requirements elicitation.
  • Communicate findings via data storytelling, narrative-driven briefings, and self-service reporting assets.
  • Build and maintain Power BI semantic models including DAX measure authoring, calculated table design, and row-level security configuration.
  • Create and maintain technical documentation covering report specifications, visualization design standards, analytical methodologies, data source mappings, and end-user reference guides.

Requirements

What you’ll need
  • Proficiency in Power BI development including semantic modeling, DAX, and report/dashboard design.
  • Strong skills in HTML, CSS, and JavaScript for building custom data visualizations and dashboards.
  • Knowledge of front-end data visualization libraries (e.g., D3.js, Chart.js, Plotly) and their application to complex analytical scenarios.
  • Understanding of UX design principles, including information architecture, responsive layout, and usability heuristics.
  • Competence in statistical methods including descriptive, inferential, and regression analysis.
  • Experience with data profiling, cleansing, validation, and conformance techniques.
  • Familiarity with data catalog practices, metadata management, and business glossary documentation.
  • Strong data storytelling and communication skills with the ability to present findings to diverse audiences.
  • Proven ability to perform exploratory, diagnostic, and predictive analysis across structured and semi-structured datasets.
  • Track record of translating business objectives into measurable KPIs and communicating findings to both technical and non-technical stakeholders.
  • Experience working with AI tools or a demonstrated willingness to learn.

Benefits

Comp & perks
  • Health insurance
  • Paid time off
  • Remote work options