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BI Analyst Specialist

Austin, TX

Posted: 06/12/2026 Industry: IT Business Systems Job Number: 7286

Job Description

Business Intelligence & Data Strategy Specialist Austin, TX 100% onsite
CornerStone TTS is partnering with an enterprise organization undergoing a major transformation in data analytics, business intelligence, and AI-enabled decision support. We are seeking a highly experienced Business Intelligence Specialist who can serve as both a technical leader and strategic advisor, helping organizations turn complex data into actionable business outcomes.

This is not a traditional reporting role. We're looking for someone who can bridge the gap between business stakeholders and technical teams, translating complex operational challenges into scalable analytics solutions while championing modern AI-driven approaches to data access, reporting, and decision-making.
What You'll Be Doing Strategic Data Leadership

  • Partner with executive leadership, business stakeholders, and technical teams to gather requirements and translate complex business needs into actionable analytics solutions.

  • Serve as a trusted advisor for enterprise reporting, data strategy, and business intelligence initiatives.

  • Lead cross-functional discussions that align business objectives with data-driven outcomes.

  • Drive stakeholder engagement and ensure analytics solutions support strategic decision-making.
Business Intelligence & Analytics

  • Design, develop, and optimize complex SQL queries for large-scale data environments.

  • Analyze and synthesize data from multiple enterprise systems to uncover trends, risks, opportunities, and operational insights.

  • Build and validate dashboards, scorecards, reports, and visualizations using tools such as Power BI, Tableau, or similar BI platforms.

  • Ensure reporting accuracy, consistency, and alignment with organizational goals.
AI-Enabled Data Solutions

  • Leverage modern AI tools and prompt engineering techniques to improve data accessibility and reporting efficiency.

  • Develop repeatable AI-assisted analytics processes, templates, and best practices.

  • Evaluate AI-generated outputs for accuracy, reliability, and business relevance.

  • Help establish responsible AI practices and governance standards within analytics workflows.
Data Governance & Quality

  • Promote data quality, stewardship, governance, and compliance best practices.

  • Partner with data engineering and architecture teams to resolve data challenges and improve information reliability.

  • Establish standards for reporting, validation, and data integrity across the organization.
Leadership & Enablement

  • Mentor analysts, business users, and stakeholders on data literacy and analytics best practices.

  • Deliver training and knowledge-sharing sessions that empower teams to make better use of data and AI technologies.

  • Serve as a key liaison between technical teams and non-technical business partners.
Project & Delivery Leadership

  • Lead initiatives utilizing Agile, Waterfall, or hybrid delivery methodologies.

  • Create project roadmaps, user stories, epics, requirements documentation, and project artifacts.

  • Drive successful delivery of enterprise analytics and business intelligence solutions.
What We're Looking For Required Experience

  • 10+ years of experience in Business Intelligence, Data Analytics, Data Warehousing, Data Strategy, Business Analysis, or related disciplines.

  • Advanced SQL expertise with extensive experience in data extraction, transformation, and analysis.

  • Proven ability to translate business requirements into technical solutions.

  • Strong experience presenting technical findings to executive and non-technical audiences.

  • Experience creating enterprise dashboards and reporting solutions using Power BI, Tableau, or similar tools.

  • Exceptional communication, stakeholder management, and presentation skills.
Highly Desired Experience

  • Enterprise Data Warehouse (EDW) and Business Intelligence architecture experience.

  • Technical project leadership experience across Agile and traditional delivery frameworks.

  • Experience serving as a primary analytics advisor for business stakeholders.

  • Data governance, master data management, and data quality expertise.

  • Experience mentoring teams and promoting data literacy initiatives.

  • Experience leveraging AI technologies, prompt engineering, or AI-assisted analytics platforms.

  • Python, Streamlit, or other tools used to create AI-enabled reporting and analytics solutions.

  • Experience operating within highly regulated industries such as healthcare, government, financial services, insurance, or similar environments.
Ideal Candidate Profile
The strongest candidates will combine:

  • Deep technical expertise in SQL, BI, and analytics.

  • Strong business acumen and stakeholder engagement skills.

  • Experience leading enterprise-level data initiatives.

  • A consultative mindset focused on solving business problems.

  • Curiosity and passion for emerging AI technologies and their practical application in analytics.

  • The ability to simplify complex technical concepts for diverse audiences.

If you're a senior analytics professional who enjoys influencing strategy, enabling business users, leading data initiatives, and shaping the future of AI-driven decision-making, we'd love to connect.

Meet Your Recruiter

John Briggs
Technical Recruiting Manager

With over 12 years in IT talent acquisition, John Briggs is a business leader specializing in workforce strategy, technical hiring, and market-driven talent solutions. As a Technical Recruiting Manager at CornerStone TTS, John has been instrumental in optimizing hiring frameworks, expanding technical talent pipelines, and driving workforce planning initiatives. His expertise spans application development, cloud computing, cybersecurity, and full-cycle IT hiring. John works closely with business leaders and technical teams to align hiring with emerging trends, leverage AI-driven recruitment technology, and refine scalable hiring strategies. Known for his ability to bridge technical expertise with organizational needs, John cultivates trusted relationships that enhance retention and drive strategic placements. His ability to integrate data-driven talent acquisition with consultative workforce solutions makes him a key driver of TTS’s success, ensuring companies secure specialized talent that aligns with long-term business objectives.

 

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