Business Intelligence Engineer

Principal Business Intelligence Engineer Austin, TX Direct Hire We are seeking an experienced analytics professional with track records of providing insights into eCommerce business trends and patterns to inform strategic business decisions.

As a principal analytics advisor to our premier retail grocery clients’ eCommerce / Marketing organization, the successful candidate will be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions.

S/he should have proven experiences in converting business requirements into efficient, scalable, testable, and maintainable SQL queries.

A strong technical acumen and extensive experiences in developing reporting, BI, and data warehouse solutions will be critical differentiating factors.

This individual must develop deep knowledge of a variety of data sources, not limited to customer, transaction, marketing, digital, clickstream, demographics, geolocation, and third-party competitive data.

S/he must possess the ability to identify patterns when analyzing large volumes of data across multiple data dimensions.

Responsibilities: Work closely with a group of cross-functional stakeholders to understand business requirements and design BI solutions to facilitate decision making process in the Whole Foods Market eCommerce organization Query large enterprise data warehouses using SQL, integrating data from multiple sources with appropriate data structures to support longitudinal analysis Define, build, and scale performance metrics / insights to quantify the success of eCommerce initiatives Design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs Generate actionable insights through the development of metrics, dashboards and deep dive analyses Manage weekly and monthly business reporting and create relevant measurement dashboards Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Streamline data sources, establish data lineage, drive data quality, and standardize our BI practices Develop data models and ETL processes to construct efficient data pipelines to enable reporting enhancements / automations Qualifications: Bachelor’s degree in IT, Statistics, Business, Economics, or related quantitative disciplines 4-6 years of professional experience in business analytics, business intelligence, data engineering, or related fields Professional experiences writing efficient SQL with database technologies Working knowledge of business intelligence tools Familiarity with programming / scripting language for building automation Ability to identify trends and patterns in data, with a passion for discovering insights that inform strategy and produce business value Preferred Qualifications: Advanced degree in Analytics, Computer Science, Data Engineering, Mathematics, Statistics, Business, Economics, or other technical fields Experience with eCommerce retail Strong candidates will have a curious mind, a passion for synthesizing information from multiple sources, the ability to interpret data through the lens of shopper behavior, and a habit of translating data into insights that drive action We provide a fair and equal employment opportunity for all Team Members and candidates regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity/expression, age, marital status, disability, or any other legally protected characteristic.

We hire and promote individuals solely based on qualifications for the position to be filled and business needs.

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