Senior BI Analyst

The Business Intelligence Analyst works in a fast-paced, high-exposure team whose responsibilities data analysis, demand modeling and research, optimization, project management, and solution design/delivery. The BI team will translate business intelligence strategy into advanced analytical experiments and models that blend data sources for creative insights into business problems and to align performance with the companys strategic goals, detailed action plans, key performance indicators, and progress metrics. The team also develops and implements systems and technology to produce decision support tools that enable leaders and system practitioners to take strategic action. You must be able to develops visualizations grounded in statistical best practices that facilitate effective communication of results and key findings to internal and external customers.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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Required
o 2 years analytical experience or a related area.
o A Bachelors degree with a focus in mathematics, economics, finance, statistics, business, computer science, or technical/engineering, or an additional 2 years of training or experience in lieu of this degree.
o Detailed knowledge and understanding of business intelligence functions, including analytics, data mining, reporting, report conversion, data cleansing, data modeling and relational databases.
o Advanced SQL & Python skills.
o Demonstrated experience working with disparate data sources and data blending.
o Adept at dashboard design, charting, and report automation.
o Experience with applied statistics and probability.
o Ability to work well with multiple, diverse teams.
o Data-driven mindset and a proven history of continuous self-development.
Senior Level
Required
o 4 years of analytical experience or related area.
o A Bachelors degree with a focus in mathematics, economics, finance, statistics, business, computer science, or engineering, or an additional 2 years of training or experience in lieu of this degree.
o Detailed knowledge and understanding of business intelligence functions, including analytics, data mining, reporting, report conversion, data cleansing, data modeling and relational databases.
o Advanced SQL & Python skills.
o Demonstrated experience working with disparate data sources, data blending, and advanced database functions (e.g., database management functions).
o Expert in visualization techniques, dashboard design, and decision support tools; experience using data visualization tools such as Tableau, Power BI, etc.
o Modeling proficiency in cluster analysis and linear regression.
o Experience with descriptive and diagnostic statistics, sampling methodology, residuals analysis / ANOVA, and hypothesis / significance testing.
o Ability to work well with multiple, diverse teams.
o Data-driven mindset and a proven history of continuous self-development.
o Demonstrated project management experience.

Job-Specific Leadership Expectations
Embody our values to own safety, do the right thing, be kind-hearted, deliver performance, and be remarkable.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.