Sr. Business Intelligence Analyst

About the Role

Key Responsibilities

• Leverage AI Powered tools (e.g., Microsoft Copilot) to accelerate data exploration, automate repetitive analysis tasks, and enhance storytelling with data.
• Design and implement automation workflows to streamline data collection, transformation, and reporting processes.
• Analyze structured and unstructured data from multiple sources (e.g., SAP, Planview, SQL databases) to identify trends, patterns, and insights.
• Use Structured Query Language (SQL) to gather and assess data from reporting databases, transactional databases, operational data stores, and external systems to assist leadership in decision making.
• Establish and champion data integrity protocols. Partner with IT and business units to monitor, improve, and enforce data quality standards.
• Lead efforts to forecast trends and model portfolio performance using advanced statistical techniques and business scenario analysis.

Requirements

• Typically requires 7+ years of relevant experience in data analysis, business intelligence, or portfolio analytics, ideally in an enterprise IT environment.
• Advanced Power BI expertise, including data modeling, DAX, and development of impactful data visualizations.
• Hands-on experience with Microsoft Fabric for unified data management and analytics.
• Proficient in Power Automate to streamline and automate workflows.
• Strong command of SQL for complex querying, data extraction, and transformation.
• Experience with Databricks and Snowflake for scalable data processing and advanced analytics.
• Awareness and practical application of Microsoft Copilot or similar generative AI tools.
• Bachelor's degree in computer science, Information Systems, Business Analytics, or related field (or equivalent experience).

Nice to Have

• Familiarity with Planview or similar portfolio/project management platforms.
• Working knowledge of Python for data manipulation, statistical analysis, and integration into BI workflows.
• Strong understanding of data architecture principles, including data governance, integration, and metadata management.

Qualifications

• Bachelor's degree in computer science, Information Systems, Business Analytics, or related field (or equivalent experience).

Benefits & Perks

• Competitive compensation package as part of our Total Rewards.
• Pay range from $105,000 to $175,000, aligned with performance, experience, and skills.
• Additional compensation such as annual bonuses or long-term incentives may be offered.
• Benefits details available via company link.