ABOUT TRIBUTE TECHNOLOGY:
At Tribute Technology, we make end-of-life celebrations memorable, meaningful, and effortless through thoughtful and innovative technology solutions. Our mission is to help communities around the world celebrate life and pay tribute to those we love. Our comprehensive platform brings together software and technology to provide a fully integrated experience for all users, whether that is a family, a funeral home, or an online publisher. We are the market leader in the US and Canada, with global expansion plans and a growing international team of more than 300 individuals in the US, Canada, Philippines, Ukraine, and India.

ABOUT YOU:
The Data Analyst (SaaS) will report to the Director of Data Science and work closely with other members of the global Data Team to ensure data integrity and consistency across the platform. Working within the existing Tribute Data Architecture team members to contribute to expanding both the breadth and depth of data and analysis available to the organization.

A primary focus of the role will be providing analysis and both internal and external reporting to operational and executive stakeholders for our business-to-business software as a service division. This requires thought leadership and collaboration with the operations, sales, and finance teams to track data and assist with priorities. Typical activities will include maintenance and reconciliation of customer databases, sales data and assisting with priority targets (new opportunities and cross selling on the platform), tracking key performance indicators for the SaaS division, helping to integrate and harmonize data across systems, etc.

WHAT YOU'LL DO:

• Support leadership in monitoring and reporting on key performance indicators specific to SaaS operations
• Assist in streamlining internal reporting to help inform business decisions and show real-time business performance
• Harmonize and integrate data across various data systems to ensure efficient, timely and accurate reporting
• Extract, analyze, create visualizations and report findings from a wide range of data sources, including SQL databases, product analysis tools, and other sources of large-scale data
• Maintain, build, and manipulate models for scenario planning and ROI analyses
• Assisting with strategic planning as required
• Model and incorporate new data elements and data sources into existing Data Architecture