Overview

Position Summary

The Reporting & Analytics Engineer designs and develops stakeholder-facing analytical applications — including interactive Power BI and HTML/CSS/JavaScript dashboards and data-rich visualizations — applying user experience (UX) design principles such as information architecture, responsive layout, and usability heuristics to maximize clarity across technical and non-technical audiences. This role performs exploratory, diagnostic, and predictive analysis across structured and semi-structured datasets, translates business objectives into measurable KPIs, and communicates findings through data storytelling, narrative-driven briefings, and self-service reporting assets. The ideal candidate is analytically rigorous, design-minded, and committed to surfacing actionable insights that inform strategic decision-making.

**This position is not available to residents of California**.

Responsibilities

Dashboard & Visualization Development

• 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.

Analytical & Statistical Methods

• 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.
• Perform exploratory and diagnostic analysis across structured datasets, applying profiling, cleansing, data validation, and conformance logic to ensure downstream consumability.

Stakeholder Engagement & Data Storytelling

• 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.

Semantic Modeling & Data Governance

• Build and maintain Power BI semantic models including DAX measure authoring, calculated table design, and row-level security configuration.
• Contribute to data catalog stewardship by documenting metric definitions, source mappings, and business glossary entries.

Documentation & Standards

• Create and maintain technical documentation covering report specifications, visualization design standards, analytical methodologies, data source mappings, and end-user reference guides.

Miscellaneous

• Perform miscellaneous duties, as required.

Behavioral Competencies

• Highly organized with strong attention to detail and documentation rigor.
• Collaborative, intellectually curious, and proactive in identifying analytical opportunities.

Qualifications

• 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.

Education and Work Experience

• Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field, preferred. Will consider candidates with a high school diploma and at least seven (7) years of experience in a reporting, analytics, or business intelligence engineering role.
• 3–5 years of experience in a reporting, analytics, or business intelligence engineering role.
• Demonstrated experience designing and developing interactive dashboards and analytical applications using Power BI and HTML/CSS/JavaScript.
• Experience building Power BI semantic models, authoring DAX measures, and configuring row-level security.
• Background in cross-functional collaboration across data engineering, product, and business teams.

 

Physical and Mental Demands

• Up to 5% travel may be required.
• Work normal business hours and extended hours when necessary.
• Remain in a stationary position, often standing or sitting, for prolonged periods.
• Regular use of office equipment in a remote environment such as a computer/laptop and monitor computer screens.
• Dexterity of hands and fingers to operate a computer keyboard, mouse, and other computer components.