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
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.