About the Role

We are seeking a Senior Business Intelligence Specialist to lead the development of high-impact

analytical solutions and cohesive data experiences that drive insight to action at scale.

Operating at the intersection of business, analytics, and engineering, this role leads the translation of

complex data challenges into scalable, intuitive solutions. The Sr BI Specialist serves as a senior full stack

BI developer and subject matter expert within a business domain, partnering closely with the BI

Manager, Central BI Team, and Data Engineering to set technical direction, mentor junior team

members, and ensure solutions are designed and deployed in accordance with best practices and

enterprise standards.

Key Responsibilities

Analytics Strategy & Delivery

• Partner with BI Managers to shape and drive the analytics vision, strategy, and roadmap;

independently lead workstreams and influence prioritization in alignment with organizational

objectives.

• Translate ambiguous business questions and problems into structured, scalable analytics

solutions.

• Rapidly prototype analytics solutions to gather early stakeholder feedback and iterate

efficiently, reducing time-to-insight; serve as a model for agile delivery practices across the

team.

Solution Design & Development

• Partner with Data Engineering to architect and implement end-to-end BI solutions — from

data ingestion and modeling to visualization — setting technical standards and design

patterns that scale across the team and enterprise.

• Build performant, maintainable dashboards and reports using modern BI tooling (e.g.,

DOMO, Tableau, Looker).

• Own and optimize domain data models that underpin reliable, consistent reporting; conduct

peer reviews to ensure quality and maintainability across the team’s solutions.

Standardization & Scalability

• Proactively drive standardization of analytics solutions; lead initiatives with the Central BI

Team to scale them into enterprise-wide capabilities.

• Lead the development of reusable components, templates, and frameworks for the shared

analytics library, guide adoption across the BI team.

• Champion consistent KPI definitions and reporting standards within the business domain.

Data Governance & Quality

• Align on domain-specific data models and KPI definitions in close collaboration with the

Central BI Team and business stakeholders.

• Work with the Central BI Team and Data Engineering to proactively identify, troubleshoot,

and resolve data quality issues; lead root cause analyses and own remediation plans to

prevent recurrence.

• Ensure data lineage, documentation, and governance practices are created and maintained

for all owned solutions.

Stakeholder Engagement

• Act as a trusted analytics partner to business stakeholders, translating data insights into

clear, actionable narratives.

• Lead demos, training sessions, and enablement workshops; develop scalable self-service

programs to drive broad adoption of BI tools and solutions.

• Gather and synthesize stakeholder feedback to continuously improve analytics products;

translate feedback into prioritized enhancements on the team roadmap.

Qualifications

Education & Experience

• Bachelor's degree in Computer Science, Information Systems, Statistics, Business Analytics, or

a related field (or equivalent practical experience).

• 8+ years of hands-on experience in Business Intelligence, Data Analytics, or a closely related

role, with demonstrated growth in scope and complexity.

• Demonstrated track record of delivering enterprise-scale analytics solutions that directly

influenced strategic business decisions and measurable outcomes.

Technical Skills

• Expert-level proficiency across one or more major BI platforms — DOMO, Tableau, Looker,

etc.

• Expert level SQL skills — complex queries, window functions, CTEs, query optimization.

• Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery, Databricks).

• Expertise in data modeling concepts: star/snowflake schemas, dimensional modeling,

semantic layers, and performance tuning at scale.

• Experience with Python or R for data wrangling and exploratory analysis.

Analytical & Business Acumen

• Strong ability to decompose complex business problems into clear analytics requirements.

• Experience defining and documenting KPIs and business metrics in collaboration with

stakeholders.

• Proven ability to present data-driven insights to both technical and non-technical audiences.

Collaboration & Soft Skills

• Strong communication skills — written, verbal, and visual storytelling.

• Comfortable navigating ambiguity and working iteratively with stakeholders.

• Strong cross-functional collaboration skills; experience working with a COE is a plus.

• Self-starter with a continuous improvement mindset and attention to detail.