Role Description You will bridge the gap between data engineering and visual storytelling, transforming complex data into actionable insights that support critical business decisions for Indeed and SBS. In this role, you will design scalable data models, build management information processes, and develop dashboards and reporting solutions using SQL, Python, Tableau, proprietary tools, and other modern BI technologies. - Business Intelligence & Reporting: Design executive-ready dashboards and reporting solutions that surface insights, trends, and recommended actions for business leaders. - Data Architecture & Metrics: Identify the right data sources and develop scalable metrics and models that simplify complex business processes and measure the impact of SBS initiatives. - Prototyping & Automation: Partner with Operational Excellence teams to build decision-support tools and transition successful pilots into automated, scalable solutions. Qualifications - Requires a Bachelor’s degree, and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience. - Experience partnering with senior leaders and cross-functional teams to translate business questions into scalable data solutions and visual reporting strategies. - Proven experience managing the full BI lifecycle, including building ELT/ETL processes, developing data models in cloud data warehouses such as Snowflake or AWS, and creating dashboards in Tableau, Looker, Sigma, or similar tools. - Experience using Python or similar scripting languages for automation, statistical analysis, data cleaning, or API integrations. - Knowledge of dimensional modeling methodologies such as Kimball or Data Vault, with experience designing scalable data models for large, event-driven datasets. - Understanding of data visualization best practices, including information hierarchy and visual design principles that improve usability and decision making. - Experience optimizing performance in large-scale data environments, including improving query efficiency, dashboard load times, and warehouse utilization. Requirements - Design, develop, and maintain scalable ELT/ETL pipelines that aggregate marketplace, performance, and operational data into clean, analysis-ready data models. - Develop and monitor operational and ecosystem health metrics to support real-time decision making. - Create interactive dashboards and data visualizations that translate complex datasets into intuitive insights for executive leadership and business teams. - Optimize SQL queries, data models, and warehouse performance in environments such as Snowflake and AWS to improve dashboard responsiveness and scalability. - Partner with Research, Planning, Measurement, and Data Science teams to integrate predictive and machine learning outputs into BI tools and reporting workflows. - Implement data quality, governance, and validation processes to maintain reliable and trusted reporting across the organization. - Collaborate cross-functionally with Sales, Support, Product, Marketing, and Operations teams to define reporting requirements and embed measurement capabilities into new initiatives and product launches. Benefits - Quarterly bonuses. - Restricted Stock Units (RSUs). - Paid Time Off policy. - Many region-specific benefits. Company Description As the world’s number 1 job site, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

• The Business Intelligence Analyst supports Calista’s Accounting and Finance teams by analyzing and interpreting complex data • Deliver actionable insights through reporting tools such as Costpoint BI, MS Power BI, and OnBase • Collaborate with departmental teams to understand data requirements • Design, develop, and maintain dashboards, reports, and data visualizations

• Work in partnership with the Director of Analytics to build new dashboards and reports while optimizing existing reports • Manage regular data refreshes of client dashboards and reports • Work with internal and external leaders to identify opportunities for improvement of key business metrics and overall program performance • Collaborate cross-functionally with program managers, Information Services (IS) team members, and client data providers to collect, clean, and analyze data • Establish KPIs to benchmark existing program performance and measure the effectiveness of new business decisions • Structure large data sets, create data visualizations, and extrapolate information that can be converted into actionable client recommendations • Strategically think through data flow, form a plan of action to troubleshoot any issues, and iterate on the plan as needed • Create client facing reports and presentations suggesting new strategies that will improve overall program performance

• Desarrollar y mantener dashboards e informes en herramientas de BI. • Analizar datos para identificar tendencias, patrones y oportunidades. • Colaborar con áreas de negocio para traducir necesidades en reportes.