Sr Business Intelligence Data Analyst I
Yum! Brands
Who is Taco Bell? Taco Bell was born and raised in California and has been around since . We went from selling everyone’s favorite Crunchy Tacos on the West Coast to a global brand with ,+ restaurants, franchise organizations, that serve + million fans each week around the globe. We’re not only the largest Mexican‑inspired quick service brand (QSR) in the world, we’re also part of the biggest restaurant group in the world: . Much of our fan love and authentic connection with our communities are rooted in being rebels with a cause. From ensuring we use high quality, sustainable ingredients to elevating restaurant technology in ways that hasn’t been done before… we will continue to be inclusive, bold, challenge the status quo and push industry boundaries. We’re a company that celebrates and advocates for different, has bold self‑expression, strives for a better future, and brings the fun while we’re at it. We fuel our culture with real people who bring unique experiences. We inspire and enable our teams and the world to Live Más. At Taco Bell, we’re Cultural Rebels. Want to join in on the passion‑fueled fun? Learn more about the career below. About the Job: Taco Bell is looking for a Sr. Business Intelligence Analyst role to add to our highly collaborative and innovative Data Analytics Team. As a highly skilled and experienced Sr. Business Intelligence Analyst role within the dynamic Taco Bell Data Analytics Team, primary responsibility will be to design and develop dashboards, visualizations, metrics and reports to various business and field users across all of Taco Bell to help them derive insights for optimal business decisions. The ideal candidate will have a strong background in data analysis, business intelligence, and reporting. This role will involve working closely with various departments to provide insights and support data‑driven decision‑making processes. The Day‑to‑Day: Data Analysis and Reporting: Analyze complex and high‑volume data sets to identify trends, patterns, and insights. Develop and maintain semantic models, dashboards and reports to support business operations and strategic initiatives using Microsoft Fabric end‑to‑end analytics platform and snowflake. Collaboration: Work closely with cross‑functional teams, including marketing, finance, and operations, stakeholders, and vendors to understand their data needs and provide actionable insights and to deliver insight‑driven data products leveraging various data sources. Data Management: Ensure data accuracy and integrity by implementing and maintaining data quality standards. Manage and optimize data storage and retrieval processes. Create and maintain enhanced SQL queries for report data validation and performance optimization. Decision Making: Demonstrate good decision‑making and high‑level understanding of end‑to‑end data ingestion and processing of data sets used in reporting and visualizations. Autonomy: Work independently with minimum guidance on complex assignments and leverage end‑user relationships to drive outcomes. Participate in engagements that drive more visibility within the technology leadership team. Delivery: Work closely with reliability team to define change management process for Power BI migrations and assist reliability team during production deployments for report and visualization migrations. Is This You? Bachelor’s degree in computer engineering, Statistics, Math, or related field. A master’s degree and Power BI certification are a plus.
- years of Industry experience in a business intelligence data analyst and report developer role.
- years of solid hands‑on experience designing, developing, and maintaining data visualizations using BI analytical tools, specifically PowerBI, Microsoft Fabric and Snowflake.
- years of proven solid experience in designing and developing physical and logical data models to support the creation of complex data visualizations.
- years of experience writing complex SQL queries across high‑volume data sets. Highly proficient in SQL optimization techniques and PostgreSQL database systems.
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