Drive user growth and engagement by collaborating with cross-functional teams, building AI-driven analytics workflows, and developing frameworks for experimentation and product analytics to influence strategic decision-making.

About CompaCompa is a venture-backed AI startup revolutionizing the future of compensation. In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams. Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI. Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more. Locations: Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible. The Role: The Compensation Data Analyst plays a critical role in maintaining trust in Compa’s compensation insights by monitoring data yields, identifying systemic data issues, resolving customer-specific data problems, and supporting ongoing data releases and quality management. Key Responsibilities - Monitor the health and recency of compensation data across customer accounts. - Investigate and resolve data inconsistencies to ensure reliable insights in the platform. - Partner with Product, Engineering, and Integrations teams to support stable data pipelines. - Respond to customer- and internally-reported data questions with clear, timely communication. - Execute routine data updates and validate accuracy as part of ongoing data releases. - Perform recurring data quality checks to proactively maintain data integrity. - You’ll work at the intersection of compensation expertise, data operations, and product quality. - The role offers clear ownership and visibility, with meaningful impact on customer trust and product reliability. Minimum Qualifications: - Experience working with structured datasets and performing data validation or quality checks. - At least 3 years of experience working with compensation data and deep knowledge of compensation benchmarking - Familiarity with HR technology systems and comfort working with technology systems. - Strong analytical and problem-solving skills with attention to detail. - Ability to communicate clearly about data findings and issues with both technical and non-technical stakeholders. - Comfort working in a fast-paced, collaborative environment with evolving priorities. Preferred Qualifications: - Exposure to data integrations or APIs. - Data analysis and proficiency in advanced data analysis (SQL, Python, etc.) - Prior experience in a customer-impacting or support-adjacent role, where clear communication and timely resolution were important.

Role Description Under moderate supervision, designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, and analysis to enable informed business decisions. - Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. - With moderate direction, create solutions from initial concept to production. - Communicates results to a broad range of audiences. - Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management. - Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making. - Mentors less senior staff. - Works in cross-functional projects and programs. - Routinely presents to management. - Performs other duties as assigned. Qualifications - Master’s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance plus 3 years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics. - As an equivalent alternative, a Bachelor’s degree in information systems, computer science, or a quantitative discipline plus 5 years of work experience in the same fields. Requirements - Proficiency in analytics software and applications. - Good interpersonal skills. - Good written and oral communication skills. - Gain insight into key business problems and deliverables by applying analysis techniques to examine structured and unstructured data from multiple disparate sources. - Effectively communicate analytical results to a broad range of audiences, written and verbally, as well as through informal working sessions and formal presentations. - Proficient in quantitative and qualitative business problem-solving. - Develop interactive data visualizations & dashboards using Power BI, Tableau, and Spotfire. - Advanced querying in Teradata, Oracle, Azure environments. - Proficient in logistics, customer, and transactional data analytics to enable informed business decisions. - Related experience may offset degree requirements, and related education/degree may offset experience requirements. - This position is eligible for telecommuting and may be located anywhere within the United States excluding Alaska, Hawaii and U.S. territories. Company Description Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. - Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. - Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com. - Applicants have rights under Federal Employment Laws: - Know Your Rights - Pay Transparency - Family and Medical Leave Act (FMLA) - Employee Polygraph Protection Act - E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only).

• Independently ascertain how to query the necessary data from large data sets and generate ad hoc analysis with clear insights • Leverage historical claims data and provide reporting that allows for assessment and risk management • Assist in preparing deliverables for operation teams that support a member’s transition experience to SmithRx • Ensure high quality, “client ready” deliverables through an audit/evaluation process and personal accountability • Execute deep-dive analyses and investigations into large datasets and provide clear insights on findings • Clearly communicate with internal stakeholders and external partners through email, slack, phone, video call, etc. • Provide ad hoc analysis to illustrate other potential impact from implementing SmithRx as a pharmacy benefit solution