Data Analyst

The Data Analyst plays a critical role in maintaining the accuracy, health, and strategic use of the church's data. This position acts as the vital link connecting technical platforms—such as RockRMS and the NewSpring App—with tangible ministry results. The primary goal is to equip every campus and ministry with the necessary insights to meet their individual and collective objectives. More than just managing data, the Data Analyst is responsible for delivering the critical insights that empower leaders to shepherd people more effectively and foster everyday relationships with Jesus for our people. Primary Responsibilities: Data System Development & Integration: Develop, integrate and maintain systems of data using RockRMS and other data tools to ensure seamless operations across the church as well as ensuring our systems are “AI-ready” for predictive modeling and AI driven insights Data Stewardship: Create and support useful tools and reports to maintain data with high integrity, ensuring "one source of truth" for the entire church. Ministry Shepherding: Provide data-driven support to ministries and campuses, helping them use metrics to shepherd people more effectively. Ministry Goal Alignment: Analyze complex data sets to discover new ways to support our ministries and improve engagement. Partner with ministry leaders to provide reports that help achieve their specific ministry, campus and ultimately NewSpring’s organizational goals. Additional projects and/or assignments as needed Adhere to and encompass the qualities and characteristics required of NewSpring Church staff members, as defined by the Policies and Procedures Handbook. Preferred Technical Requirements: SQL: Proficient in writing SQL queries for custom reporting and automation. Business Intelligence: Experience translating "Data Speak" into "Ministry Speak" through visualizations and actionable dashboards. AI Systems: Demonstrated knowledge of modern AI data practices, including structuring data for "AI-readiness," utilizing Large Language Models (LLMs) for predictive modeling, and implementing automated data systems to drive church-wide insights. Confidentiality: Must maintain the highest level of confidentiality regarding financial, personal, and staff information. #J-18808-Ljbffr Rock Community