What you will do:

• Work with senior business stakeholders to break down business problems and design analytics solutions.

• Provide technical leadership to drive best practices for data modeling, ETL, and data quality.

• Design and build data pipelines to enable decision making through analytics.

• Develop automated solutions to replace manual data processes.

• Refine and enhance reporting data models.

• Act as a champion for data quality by proactively identifying data quality issues and coordinating with system owners to resolve issues quickly.

• Build relationships with senior business leaders to gather requirements and evangelize data analytics best practices.

• Present information accurately and concisely in charts, tables, maps, and other appropriate graphical formats with a clean and modern design aesthetic.

• Collaborate with and influence technology teams to implement new analytical solutions and models

• Interpret and translate data into accurate, concise, and meaningful business insights 

?You need to have:

• 6 years of hands-on development experience with SQL and an ETL tool. Alteryx is preferred, but any similar tool can be considered. 

• Advanced SQL capabilities are required. Knowledge of database design techniques and experience working with extremely large data volumes is a plus. 

• Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling. 

• Programming experience in Python.

• Knowledge of reporting tools such as QlikSense, Tableau, or Power BI is a nice to have.

• Bachelors degree in a financial or technical field, or equivalent work experience. Master’s degree is a plus.