Business Intelligence Analyst III

Overview

In this position, you own end-to-end analytics delivery for key business domains. This is a business-facing analyst role, with light data engineering and data science support responsibilities. You will design durable Power BI semantic models, define metric logic, deliver executive-ready dashboards, and measure business impact. You will set the bar for documentation and change discipline, curate the knowledgebase and business glossary, and lead/facilitate the data governance program and BI Center of Excellence (CoE) to improve consistency, quality, and adoption across the enterprise.

You will collaborate with vendors and technology partners to ensure data readiness and support the validation and use of simple data science models.

• Own analytics solutions from discovery to adoption: translate goals into metric definitions and acceptance criteria; design reusable Power BI semantic models (star schema, relationships, data types, aggregations, RLS as needed).
• Build executive-ready dashboards and narratives; conduct deeper analyses (segmentations, cohorts/variance, time-series) and communicate drivers, risks, and recommended actions.
• Establish and maintain metric definitions (calculation rules, lineage, owners) to reduce ambiguity and improve self-service.
• Apply accessibility and usability best practices (plain language, interpretable visuals, keyboard/screen reader friendly layouts).

• Set the standard for documentation: author/approve Scope of Work, technical specs, Change Implementation Plans, Change Management Requests, test plans/UAT scripts, and release notes.
• Ensure artifacts are versioned and auditable.
• Run the BI delivery workflow (intake, sizing, design, peer review, UAT, release, post-release support) and change management controls.
• Define and monitor data-quality checks and reconciliation routines; investigate anomalies and lead remediation with partners.
• Maintain a deprecation/sunset plan for stale assets.
• Ensure data catalog, knowledgebase, and glossary stay in sync with releases.

• Lead and facilitate the data governance program: steward data/metric standards, naming conventions, access and retention practices; chair or co‑lead working sessions; resolve definition conflicts across domains.
• Curate the knowledgebase (patterns, playbooks, troubleshooting runbooks) and steward the business glossary (approve terms, maintain lineage, assign owners, track change history).
• Drive adoption of standards through artifacts, templates, and office hours.

• Run and participate in the BI CoE: set and evangelize standards, lead show‑and‑tells, publish reference models, mentor analysts, and measure CoE adoption/impact.
• Partner with data engineers, system administrators, security/compliance, and business stakeholders to align requirements, validate feasibility, and plan releases.
• Performance‑tune complex SQL/DAX; review peer changes; coach on best practices.

• Maintain accurate tasks, estimates, and status in the project tracker; meet SLAs for incident response and ad‑hoc requests.
• Uphold privacy, security, and least‑privilege access controls; ensure documentation hygiene for auditability.

• 5+ years in BI/analytics delivering stakeholder‑facing solutions, with demonstrated ownership and mentorship.
• Experience influencing standards, governance, and CoE‑style communities.

• Bachelor’s degree in Analytics, Information Systems, Statistics, Computer Science, or related field required;
  Master’s degree preferred.
• Certification such as PL‑300/DP‑500 or similar is a plus.

Courtesy and tact are essential elements of the job. Work involves personal contact with customers and others inside and outside the organization, generally regarding fairly routine matters for the purposes of giving and obtaining information or instructions, updating or referring. Communications generally require shorter and not in-depth discussions.

• Advanced SQL and dimensional data modeling.
• Strong DAX/Power BI (model optimization, calculation…