One of our clients a news, data, and analytics company is looking to add a Data Analyst to the Commercial Analytics team. They are responsible for driving analytics throughout the organization to improve our products, engage better with our customers, create greater efficiencies, and drive new businesses by providing data insights. Our data captures the who, what, when, where and why of how our company goes to market. Senior business leaders rely on our work every day to make strategic decisions. 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
You'll 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
Bachelor’s degree in a financial or technical field, or equivalent work experience. Master’s degree is a plus.