<div>The YouVersion Staff Data Engineer will lead the development of scalable data infrastructure and processes to support the Bible App’s global growth. This role focuses on defining best practices, setting technical standards, delivering excellent solutions and mentoring engineers to foster a culture of excellence. Collaborating with cross-functional teams, the Staff Data Engineer will design innovative solutions that align with the organization’s mission while driving strategic technical and architectural decisions. The Staff Data Engineer utilizes their skills to deliver technical outcomes that align with the direction of their team to further Life.Church’s mission and to reach people for Christ.</div><div><br></div><div>YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.&nbsp;</div><div><br></div><div>We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That’s why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day.&nbsp;</div><div><br><strong>What You'll Do</strong></div><ul><li>Drive data awareness by delivering accurate, actionable insights to support analytics and decision-making.</li><li>Design and implement complex, reliable, and scalable data pipelines.</li><li>Support, maintain, and optimize existing ETL processes and data interfaces.</li><li>Collaborate with data and product teams to prioritize and deliver impactful data solutions.</li><li>Create clear documentation and diagrams to enhance understanding across teams and leadership.</li><li>Provide expert-level guidance on data modeling and warehouse design.</li><li>Partner with internal teams to establish and maintain excellence in data governance, privacy, and security.</li><li>Promote continuous learning, adoption of new technologies, and best practices in data engineering.</li><li>Advocate for rigorous testing and monitoring to ensure the delivery of trusted, high-quality data.</li><li>Champion data quality initiatives within the data team and across the organization.</li><li>Collaborate closely with the Data Architect to uphold organizational standards andmaintain best practices.</li><li>Enhance data knowledge by supporting and improving user event processing.</li><li>Mentor and develop junior and mid-level data engineers and contracting partners.</li><li>Actively lead within the agile/scrum development process.</li><li>Independently manage high-priority work while aligning with team goals.</li></ul><div><br><strong>Skills Needed to Succeed</strong></div><ul><li>Ability to self-motivate, make independent decisions, and solve problems with innovation.</li><li>Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change.</li><li>Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.</li><li>Effective at process and organizational management to coordinate, structure, and provide vision to projects.</li><li>Strong leadership skills and understanding of developing and guiding others.</li><li>Expert-level SQL knowledge, capable of writing complex queries and performance tuning.</li><li>Deep knowledge in Database Management Systems, including Postgres, BigQuery, or MySQL.</li><li>Proficient in API and streaming data integration.</li><li>Deep knowledge of data warehousing models and design principles.</li><li>Familiar with user event data collection tools like Firebase, GA4, or similar platforms.</li><li>Bachelor's Degree in Computer Science or Data preferred.</li><li>7+ years of related work experience.</li><li>Highly proficient in programming languages such as Python, Go, Java, or other general-purpose scripting languages.</li><li>Experienced with data orchestration tools like Airflow, FiveTran, DBT, Pub/Sub, or similar streaming technologies.</li><li>Experienced with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.</li></ul>

Staff Data Engineer

<div>The Senior Data Scientist is responsible for developing advanced analytical and machine-learning solutions to optimize user engagement and retention in our mobile applications. The Senior Data Scientist will work closely with product managers, engineers, and other stakeholders to drive data-driven decision-making and deliver insights that enhance the user experience. The Senior Data Scientists provides data solutions that equip teams and ministries to further Life.Church’s mission and to reach people for Christ.&nbsp;</div><div><br></div><div>YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.&nbsp;</div><div><br></div><div>We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That’s why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day.&nbsp;</div><div><br><strong>What You’ll Do</strong></div><ul><li>Analyze large-scale datasets in BigQuery to extract actionable insights on user behavior, engagement, and app performance.</li><li>Develop metrics and KPIs to track user acquisition, retention, and in-app behaviors across multiple apps.</li><li>Conduct funnel analysis, cohort analysis, and segmentation studies to understand user journeys and identify growth opportunities.</li><li>Design, build, and deploy predictive models to enhance app personalization, recommend content, and improve ad targeting.</li><li>Develop models for churn prediction, lifetime value estimation, and user segmentation to inform product and marketing strategies.</li><li>Leverage BigQuery ML and other cloud-based machine learning tools to streamline the modeling process within the Google ecosystem.</li><li>Design and analyze A/B tests to evaluate the impact of new features, UX changes, and marketing strategies on user engagement and retention.</li><li>Implement statistical methods to assess test results, including sample size calculation, significance testing, and post-test analysis.</li><li>Document and share best practices for experimentation with cross-functional teams.</li><li>Work closely with data engineers to build, optimize, and maintain ETL pipelines in BigQuery, ensuring data availability and accuracy.</li><li>Define and implement data quality checks and standardization procedures for mobile app data.</li><li>Advocate for data infrastructure improvements and guide the design of efficient data pipelines.</li><li>Develop interactive dashboards and visualizations in tools such as Tableau, or Looker to present insights to product, marketing, and engineering teams.</li><li>Translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.</li><li>Present findings regularly to senior leadership, providing strategic guidance based on data-driven insights.</li><li>Mentor junior data scientists and analysts, providing guidance on best practices in data science, mobile app analytics, and BigQuery usage.</li><li>Lead cross-functional data projects, ensuring alignment on goals, methodology, and timelines.</li><li>Stay updated with industry trends and new technologies, sharing relevant knowledge with the team and encouraging innovation.</li></ul><div><br><strong>Skills Needed to Succeed</strong></div><ul><li>Ability to self-motivate, make independent decisions, and solve problems with innovation.</li><li>Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change.</li><li>Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.</li><li>Effective at process and organizational management to coordinate, structure, and provide vision to projects.</li><li>Strong leadership skills and understanding of developing and guiding others.</li><li>A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis.</li><li>Proficiency in Python or R for data analysis, modeling, and machine learning.</li><li>Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker to create dashboards and reports.</li><li>Strong understanding of mobile app analytics, including metrics for user engagement, retention, and funnel analysis preferred.</li><li>Experience with app tracking frameworks and attribution tools(e.g., Firebase, Adjust, AppsFlyer) preferred.</li><li>Knowledge of statistical techniques for experiment design and analysis preferred(e.g., causal inference, propensity score matching).</li><li>Familiarity with app store optimization(ASO) and mobile marketing analytics preferred.</li><li>Master’s degree or Ph. D. in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.</li><li>5+ years of experience in data science or analytics, with at least 2 years in the mobile app industry.</li><li>Advanced proficiency in Google BigQuery, including SQL query optimization, data processing, and BigQuery ML for machine learning.</li><li>Experience with machine learning algorithms for classification, regression, clustering, and time series analysis.</li></ul>

Senior Data Scientist

<div>Gloo was founded as a mission-driven organization with the goal to release the passion in every person to Champion the growth of another so they can be all they were born to be.</div><div><br>Today, organizations of all sizes in the faith space use Gloo’s products to become more informed, better connected, and fully equipped to overcome their greatest challenges and achieve powerful outcomes, helping people progress through their personal growth journeys.<br><br></div><div>By building a common platform, we are creating a shared infrastructure that removes friction, promotes collaboration, and equips leaders with the right tools to galvanize personal growth and change lives. We are a fast-moving and passionate team that is looking for more talented professionals who are driven to make a positive impact.<br><br></div><h3><strong>The Team:</strong></h3><div>Gloo360 is the premier managed services provider (MSP) division of Gloo dedicated to delivering comprehensive technology and operational support to non-profit organizations and mission-driven enterprises. By managing critical systems such as IT infrastructure, cybersecurity, cloud solutions, and enterprise platforms like Workday, Salesforce, and HubSpot, Gloo360 empowers its partners to focus on their core missions. Through innovative solutions, strategic integrations, and exceptional customer support, Gloo360 ensures operational excellence while driving efficiency, scalability, and transformative impact for the organizations it serves.</div><div><br></div><h3><strong>The Opportunity:</strong></h3><div>The Data Analytics Specialist will provide a managed service to help customers gain deeper insights into their business operations and guide them toward data-driven decision-making. Reporting to the Business Intelligence &amp; Analytics Lead, this role involves analyzing data, developing dashboards, and delivering actionable insights that align with customer goals. The Data Analytics Specialist will support customers by translating complex datasets into clear, meaningful reports and visualizations, ensuring data quality and promoting best practices in data-driven strategies. This position is remote based at our headquarters in Boulder, Colorado.</div><div><br></div><h3><strong>What You’ll Be Doing:</strong></h3><ul><li>Data Analysis &amp; Reporting<ul><li>Analyze customer datasets to uncover trends, insights, and opportunities for improvement.</li><li>Develop dashboards and custom reports to monitor performance metrics, enabling data-driven decision-making.</li><li>Work closely with customers to define KPIs and metrics that align with their business goals.</li></ul></li><li>Data Visualization<ul><li>Create clear and compelling visualizations to communicate data insights effectively to diverse audiences.</li><li>Ensure visualizations are tailored to the specific needs and expertise of each customer.</li><li>Continuously improve reporting tools and techniques to enhance clarity and usability.</li></ul></li><li>Collaboration with Business Intelligence<ul><li>Partner with the Business Intelligence &amp; Analytics Lead to ensure alignment with organizational and customer objectives.</li><li>Collaborate with internal teams to support data-driven projects, ensuring consistent standards and methodologies.</li><li>Work with customers to identify and address gaps in their data strategies.</li></ul></li><li>Data Governance &amp; Quality Assurance<ul><li>Ensure the integrity, security, and accuracy of customer data through consistent quality checks and adherence to best practices.</li><li>Promote data governance principles, helping customers implement policies that maintain data quality.</li><li>Assist in troubleshooting data issues and delivering timely resolutions.</li></ul></li><li>Customer Engagement &amp; Support<ul><li>Provide insights and recommendations that help customers make informed decisions.</li><li>Act as a trusted advisor to customers, ensuring they fully understand and utilize their data assets.</li><li>Offer training and resources to customers, helping them build their internal data capabilities.</li></ul></li></ul><div><br></div><h3><strong>What We're Looking For:</strong></h3><ul><li>Bachelor’s degree in Data Science, Analytics, Statistics, or a related field.</li><li>3+ years of experience in data analysis, reporting, or visualization roles.</li><li>Proficiency with data visualization tools (e.g., Tableau, Power BI, Domo) and analysis languages (e.g., SQL, Python, R).</li><li>Strong understanding of data governance and quality assurance best practices.</li><li>Ability to use AI to increase efficiency and output.</li><li>Experience working directly with customers or stakeholders to define and meet their data needs.</li><li>Excellent communication skills, with the ability to convey complex data insights to non-technical audiences.</li><li>Familiarity with CRM systems, ERP platforms, and other business intelligence tools is a plus.</li></ul><div><br></div><div><strong>Compensation:</strong> $95,000 - $145,000</div><div><br></div><h3><strong>Our Team Members Enjoy:</strong></h3><ul><li>Compensation and bonus commensurate with experience.</li><li>Plenty of time off to keep you balanced.</li><li>Medical benefits with multiple plan offerings, HSA contribution, and Dental and Vision plans.</li><li>A dynamic, talented team, dedicated to changing the world and building an incredible business.</li><li>Onsite and virtual social events to keep us connected in our hybrid work environment</li><li>Beautiful office space in downtown Boulder on Pearl Street, steps from coffee shops and blocks from hiking trails.</li></ul>

Data Analytics Specialist

<div>The Head of Data is primarily responsible for leading our data strategy and infrastructure, driving innovation in data analytics, and ensuring the reliability and scalability of our data systems. This role will lead data engineers and analysts, collaborating closely with cross-functional teams to deliver actionable insights. The Head of Data is responsible for casting vision, providing direction, and leading ministry efforts within their team to outcomes that further Life.Church’s mission and reach people for Christ.</div><div><br></div><div>At Life.Church, we exist to lead people to become fully devoted followers of Christ. It’s been our mission since 1996 and has guided us every day. Leading people isn’t just an expectation; it’s a necessity.&nbsp; It’s a cornerstone of our culture. That's why we’re always seeking leaders—leaders like you—to bring your skills to life. We are one church meeting in multiple locations, and we want to help you become the person God made you to be.</div><div><br></div><div>The Digital Product Team leverages technology to reach people worldwide, connecting them to our ministry and each other through our website, apps, and all Life.Church locations. Our apps serve our attenders by connecting them with our church and helping facilitate their growth as a fully devoted follower of Christ. It doesn't get much better than that!</div><div><br><strong>What You'll Do</strong></div><ul><li>Develop and execute a comprehensive data strategy aligned with <a href="http://life.church/">Life.Church</a>’s objectives.</li><li>Lead the development and implementation of data governance policies and procedures.</li><li>Collaborate with leadership to identify opportunities for leveraging data analytics and engineering to drive organizational innovation.</li><li>Recruit, mentor, and manage a high-performing team of data analysts, engineers, and scientists.</li><li>Provide guidance and leadership to foster a culture of innovation, collaboration, and continuous improvement.</li><li>Set clear goals and objectives for the team and ensure alignment with organizational priorities.</li><li>Oversee the development and implementation of advanced analytics techniques to extract actionable insights from large and complex datasets.</li><li>Drive the development of predictive models, machine learning algorithms, and data visualization tools to support business decision-making.</li><li>Ensure the accuracy, reliability, and integrity of data analytics processes and outputs.</li><li>Lead the design, development, and optimization of data infrastructure and architecture to support scalable data processing and storage.</li><li>Implement best practices for data acquisition, integration, transformation, and delivery.</li><li>Stay abreast of emerging technologies and trends in data engineering to drive continuous improvement and innovation.</li><li>Collaborate closely with functional teams and ministries to understand outcomes and develop data-driven solutions.</li><li>Serve as a subject matter expert on data analytics and engineering topics, providing guidance and support to cross-functional teams and ministries as needed.</li></ul><div><br><strong>Skills Needed to Succeed</strong></div><ul><li>Ability to self-motivate, make independent decisions, and solve problems with innovation.</li><li>Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change.</li><li>Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.</li><li>Effective at process and organizational management to coordinate, structure, and provide vision to projects.</li><li>Strong leadership skills and understanding of developing and guiding others.</li><li>Bachelor's degree in computer science, data science, engineering, or a related field.</li><li>Advanced degree preferred.</li><li>Proven experience in a leadership role overseeing data analytics and data engineering functions.</li><li>Strong technical expertise in data analytics tools and techniques, including statistical analysis, machine learning, and data visualization.</li></ul>

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