Principal Tech Lead, Software Engineer

A top lender in the Nevada market is looking for a Reporting & data Specialist ***Candidates must have at least 3-5+ years of experience and preferably in Credit Union or Banking.**** Medical, dental, and vision plans, where we cover 90% of employee costs and about 75% of the costs for their dependents Health Savings Account contributions Paid time off, including vacation and sick time, 11 annual paid holidays, eight hours of personal leave, and sabbatical leave after seven years of employment Paid time to volunteer and make a contribution to the community Special access to Greater Nevada Field and University of Nevada athletic events Local Discounts for parks, events, and services So, we offer extensive training and development opportunities for each employee. Our continuous coaching culture allows for more direct and regular performance feedback and compensation. Recognition – We invest time, energy, and resources to find creative, impactful, and fun ways to deliver recognition that fits each Greater Nevadan's successes. Effectively demonstrate our passion and purpose as a non-profit organization by “Helping More People Live Greater." The Reporting and Data Specialist has an in-depth understanding of underlying data, data structures and general knowledge of business uses for data. utilizing relational database systems and data warehouses. Ensure that all parties are in agreement with the business needs, information requirements, and key data elements that will be utilized. Design, build, test and distribute customized and ad hoc reports in alignment with our authorized data definitions. Location and Travel Requirements This is a remote position Experience developing, running and managing SQL queries Experience with Power BI, Crystal Reports and other data presentation softwares Demonstrated experience utilizing ETL (extract, transform, load) to design, build, test and distribute customized reports, dashboards and data visualizations to business leaders In-depth understanding of underlying data and data structures Demonstrated knowledge of SQL and data visualization tools such as Power BI Understanding of the DIKW (Data – Information – Knowledge – Wisdom) model and the business uses for each layer