Title: Lead, Business Intelligence Analyst - People Analytics Location: Remote Opportunity Job Description: Job Code: 37660 Job Location: Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off Job Description: The CHQ People Analytics team is seeking a Business Intelligence Analyst that will be responsible for supporting the design and structure of our companies’ analytics platforms. The individual will be responsible for creating and maintaining dashboards, modeling and integration of disparate data sets, optimizing existing data structures for various use cases and ensuring adherence to data governance standards. The selected candidate will work closely with cross-functional internal teams to understand organizational data needs and use cases. If you are passionate about working with data, solving business challenges and want to work with a collaborative team that values innovation, we encourage you to apply today! Essential Functions: - Develop and maintain dashboards and reports in Power BI, Visier and other BI tools as required. - Partner with internal customers, People Analytics team members, and leadership to identify opportunities for new analytic solutions. - Work with cross-functional teams to plan, develop, and build interactive and visually appealing dashboards and reports. - Participate in Agile development cycles, including sprint planning, backlog management, and iterative solution delivery. - Help project team identify clear priorities among project activities and assist with keeping all stakeholders informed of progress and issues. - Proactively recommend changes to improve efficiency and effectiveness of analytic solutions. - Provide production and user support on an as needed basis. - Create documentation, training materials, and support training sessions for various groups on BI tools and processes. - Perform ad-hoc analysis of data. Qualifications: - Bachelor's with 9 years prior experience in data engineering, Graduate Degree with 7 years prior experience in data engineering. In lieu of a degree, minimum of 13 years of prior related experience in data engineering. - Minimum of 4 years of experience working with data visualization tools such as Power BI or Visier. - Minimum of 2 years of experience working with SQL. - Preferred Additional Skills: - Data engineering experience (BI data modeling, SQL development) - Snowflake experience. - Experience with management of back-end analytics infrastructure (building and maintaining data pipelines, ETL/ELT processes) - Strong problem-solving skills and the ability to work with complex data sets. - Demonstrated ability to quickly learn new tools and technology to deliver business results. - Exceptional verbal and written communication skills and the ability to communicate effectively with various cross functional stakeholders. - Ability to work with large amounts of data to distill information and provide insights. - Experience working with cross-functional teams to influence outcomes in an agile environment

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