Role Description We are looking for senior sports data operations analysts to join our live operations team. In this role, you will: - Monitor real-time soccer and multi-sport data feeds. - Execute operational tasks during live sports events. - Ensure the accuracy and integrity of data flowing through our systems. - Make real-time decisions based on live data. - Work directly with live sports data during active events. This is a senior, precision-focused operations role — not a technical support or IT position. The work requires: - Deep familiarity with sports (especially soccer). - A sharp eye for data anomalies. - The ability to stay composed during high-pressure live event windows. Qualifications - 10–15 years of experience in sports data, data operations, or a related operational field. - Strong working knowledge of soccer — competition formats, teams, events, and data structures. - Comfortable handling large volumes of data and working with operational dashboards under time pressure. - Supervisor or team lead experience — you have managed or mentored others in an ops environment. - Clear written English for internal reporting and cross-team communication. - Self-directed and reliable in a 100% remote setup. Requirements - Available to work evening and late-night shifts according to the live sports calendar. - Genuine sports enthusiast — soccer knowledge is a strong advantage; familiarity with other major sports (basketball, tennis) is a plus. - Prior experience with sports data providers or real-time event data platforms. - Background in fintech, sports media, or similarly precision-driven data operations. Benefits - Opportunity to work at the intersection of sports, data, and AI. - Direct impact on live, real-world products and user experiences. - High ownership role with exposure to cutting-edge, real-time systems. - Ideal for candidates who thrive in fast-paced, mission-critical environments.

Role Description The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor program and operational performance. Promotes self-service analytics for customer adoption, understanding, and use of data. Supports design of programmatic analyses and reporting capabilities in addition to business requirement definition for new analyses and performs ad-hoc analysis as directed. This position supports data quality and data stewardship functions to maintain data accuracy and identify new metrics. As a subject matter expert, the Healthcare Data Analyst Senior uses analytic skills to offer data-driven conclusions and recommendations to business partners. As an integrated health system, Sentara delivers analytics across a wide variety of domains, including: - Medical expense and trends - Quality including HEDIS reporting, interventions, and STAR ratings - Clinical gaps and adherence - Network Management contracting and pay-for-performance/value-based measures - State and Federal regulatory reporting - Employer groups reporting and client ad-hoc reporting related to clinical and financial services - Population health reporting & analysis - Risk, member/patient stratification, member/patient segmentation, quality, provider scoring, and cost savings - Predictive analytics - Ambulatory, acute & post-acute quality, clinical performance, and operations reporting & analysis - Quality & performance benchmarking - Research data & analytic support Works directly with internal customers and external provider partners. The Healthcare Data Analyst Senior on-boards new team members and provides guidance and mentorship to junior analysts. Qualifications - Bachelor Degree (Preferred) - 3 years of experience in data analysis required - 1 year of experience in Financial analysis/Population management/Statistics preferred - Knowledge of SQL and Tableau - Excellent Oral and Written Communication Skills - Problem Solving - Consultative Engagement Skills Requirements - No specific certification or licensure requirements Benefits - Medical, Dental, Vision plans - Adoption, Fertility and Surrogacy Reimbursement up to $10,000 - Paid Time Off and Sick Leave - Paid Parental & Family Caregiver Leave - Emergency Backup Care - Long-Term, Short-Term Disability, and Critical Illness plans - Life Insurance - 401k/403B with Employer Match - Tuition Assistance – $5,250/year and discounted educational opportunities through Guild Education - Student Debt Pay Down – $10,000 - Reimbursement for certifications and free access to complete CEUs and professional development - Pet Insurance - Legal Resources Plan - Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.

Role Description SalesForce Data Analyst for the B2B Sales Ops team. - Assist with compensation discrepancies due to territory changes, employee changes/turnover, or human errors. - Provide support in adjusting B2B rep quotas when documented and approved. - Assist with reporting, data validation, and issue resolution. Typical Day: - Data analysis - Data validation - Process documentation - Account assignment in compensation tool and SFDC Qualifications - Analytically minded - Critical-thinker - Attention-to-Detail - Cross-Functional Collaboration - Communication Requirements - Proficient in Outlook, specifically Microsoft Excel - Salesforce.com (SFDC) (SF User Experience Required, no Dev skills needed) Benefits - Base salary: $92,250 - $110,000 plus incentives based on individual and company performance - Medical, dental, and vision insurance - Comprehensive employee assistance program - 401(k) retirement plan - Paid time off and holidays - Paid learning days Company Description We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. Our gamechangers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures.

Role Description The Internal Audit Data Analyst supports the Internal Audit function by leveraging advanced data analytics to identify risks, detect anomalies, and provide actionable insights that enhance audit effectiveness and business outcomes. This role partners closely with the Internal Audit Team to design, execute, and maintain data‑driven analyses across financial, operational, compliance, and technology processes, particularly within mortgage servicing operations, while also contributing directly to audit planning and execution. The ideal candidate combines strong analytical and technical skills with a solid understanding of internal audit methodology. The role needs to be comfortable working with large, complex datasets, clearly communicating results to both technical and non‑technical audiences, and performing internal audit testing. Depending on workload and risk priorities, the role may also lead audit engagements, including planning, testing, and reporting activities. Key Responsibilities - Data Analytics & Continuous Auditing - Design, develop, and execute data analytics to support audit planning, scoping, testing, and risk assessments. - Code repeatable and automated analytics to identify trends, outliers, control gaps, and emerging risks. - Support continuous auditing and monitoring activities in high-risk areas. - Develop analytics that reduce manual audit testing and improve efficiency. - Maintain documentation for analytics, including data sources, assumptions, logic, and limitations. - Assist auditors in interpreting data results and translating them into audit observations. - Audit Execution & Engagement Leadership - Perform and lead internal audit engagements end-to-end, including planning, risk assessment, fieldwork, testing, issue validation, and reporting across Selene’s mortgage servicing operations. - Develop audit programs, Risk & Control Matrices (RCMs), and testing approaches aligned with Internal Audit standards. - Execute tests of design and operating effectiveness and document workpapers in accordance with Internal Audit quality standards. - Draft clear, well-supported audit observations, root causes, risk statements, and recommendations. - Validate management remediation and perform follow-up testing as required. - Lead 2–4 audit engagements annually, depending on audit plan needs and workload. May direct staff auditors or co-sourced resources during audit engagements. - Data Management & Analysis - Extract, transform, and analyze data from multiple sources (e.g., mortgage servicing platforms, ERP systems, operational systems, spreadsheets, databases). - Validate data completeness and accuracy prior to analysis. - Maintain reusable analytics scripts, dashboards, and models. - Partner with IT and data teams to improve data accessibility and reliability. - Reporting & Communication - Prepare clear, concise, executive-ready summaries of audit results and analytical insights for audit teams and management. - Develop visualizations, dashboards, and reports to communicate trends and risks effectively. - Present analytical and audit findings to Internal Audit leadership and audit teams. - Clearly translate technical and data-driven results into business-relevant observations. - Collaboration & Continuous Improvement - Partner with Internal Audit, Compliance, Risk Management, IT, and business stakeholders to understand processes, risks, and data flows. - Identify opportunities to enhance audit coverage, efficiency, and effectiveness through automation and analytics. - Contribute to the development of a reusable audit analytics library. - Stay current on internal audit practices, data analytics techniques, tools, and emerging risks within mortgage servicing space. Qualifications - A bachelor’s degree in Accounting, Finance, Information Systems, Data Analytics, Computer Science, or a related field is required, unless equivalent experience is demonstrated. - 5+ years of progressively responsible experience in data analytics, including hands‑on experience extracting, validating, and analyzing data from business systems. - 5+ years of experience supporting or performing internal audit, risk management, compliance, or control‑focused reviews within a regulated environment. - 2+ years of mortgage servicing experience. Requirements - Advanced proficiency in data analysis tools and techniques, including Excel, Power BI, SSMS, Python, Tableau, Alteryx, or comparable tools. - Experience working with audit management and governance tools such as AuditBoard, TeamMate, Workiva, Galvanize, or similar platforms. - Professional certifications (e.g., CIA, CISA, CPA, Data Analytics certifications) are a plus. Benefits - Paid Time Off (PTO) - Medical, Dental & Vision - Employee Assistance Program - Flexible Spending Account - Health Savings Account - Paid Holidays - Company paid Life Insurance - Matching 401(k) Plan