Kaye Sitterley

>Clean, restructure, and reformat datasources using ETL tool Matillion to ensure clean, consumable, and reliable data >Create, manage, and maintain documentation of all datasources for ease of use and reliable reporting >Collect datasource build requirements from end-users to ensure data will fit their long-term analytics needs >Validate datasources in Tableau for accuracy and train new users on data best practices

> Managed and maintained our cloud data warehouse, ETL processes, and user permissions > Identify, clean, and validated data using SQL and LookML to allow for single source of truth metrics > Built and managed Looker data model to provide clearly defined dimensions and measures in end-user visualizations > Worked closely with internal stakeholders to identify data needs in a fast-paced work environment > Provided ad-hoc analysis when needed

>Extract, transform and interpret raw data into key insights and actionable information >Define and track KPIs in simple dashboards to track progress and make recommendations to key stakeholders >Support all departments by providing key data to improve internal process and customer understanding >Provide clarity and improve accuracy by documenting data sources to allow for scalability and streamline process >Improve customer understanding using qualitative data collection by authoring and analyzing customer surveys >Provide ad-hoc analysis when needed

>Collaborated with cross-functional team members in developing efficient SQL queries to extract data from Google BigQuery in order to aid research and development from a cloud-based health data warehouse. >Optimized data output for research-based questions and implemented validation and analysis techniques to ensure data accuracy.

>Tutor the NCAA athletes in Economics classes at CU such as Statistics, Econometrics, Microeconomics, and Macroeconomics.

Learned how to store, manage, and analyze data. Worked extensively with R, SQL, and Tableau while learning advanced statistical methods.

Economics Tutor for both the Economics Department at CU and the CU Sports Program Magna Cum Laude in Economics for writing an Empirical Honors Thesis in Women's Health Economics - Students awarded Latin honors at CU must both have a high GPA and write an undergrad thesis.