• Analyze data to identify improvement opportunities and support client goals • Translate analytical findings into clear, actionable insights for clients and program leadership • Monitor KPIs to quickly identify operational pain points • Identify and query complex data populations used for testing • Develop subject matter expertise in data tables, schemas, and system functionalities

Job Description The Role GM’s People Analytics CoE is looking for a Sr. HR Reporting Analyst to join its Global Workforce Reporting team. In this role, you will be responsible for providing reporting support across HR and business teams by developing solutions leveraging Workday reporting functionality including reports and calculated fields, dashboards, Discovery Boards, and Worksheets. You will have comprehensive Workday reporting knowledge, understand Workday data structures, processes and advanced reporting tools which will enable you to guide the overall design from ideation to development, delivery and enablement. You will utilize Workday and other HR data sources to manage and fulfill reporting requests from different stakeholders including but not limited to Managers, HR Partners, HR COEs, Finance, and Legal teams. What is in it for you? You will have a chance to design solutions that influence our talent strategy and be part of a great team that puts innovation and curiosity at the center of everything we do. Responsibilities Collaborate with HR Centers of Excellence (COEs) to gather report requirements and provide best practice guidance on reporting solutions. - Develop, deliver, and enable complex reports and dashboards using Workday to support HR and business needs, e.g., advanced, composite, and matrix reports using Workday Reporting functionality including calculated fields, Report Writer, and scheduling. - Manage ongoing and ad-hoc reporting requests including global legal, compliance, audit, and regulatory reports. - Proactively identify opportunities for automated self-service solutions that support talent decisions. - Work with People Analytics teams and key stakeholders to gather data and reporting requirements and manage development and delivery of reporting products. - Develop and maintain documentation for reports, dashboards, custom applications, and other data products and processes in the HR reporting domain. - Participate in testing and validation of reports, dashboards, and custom fields/calculations ensuring they function correctly within Workday and the downstream data warehouse environment. - Work closely with HRTO and HR IT teams on resolving process, technology, configuration, or integration issues. - Coordinate assigned deliverable schedules to ensure timeliness are met. - Actively participate in the Workday community looking for enhancements and contributing expertise and ideas. Required Skills and Experience - 5+ years of hands-on experience with Workday reporting, including building and delivering complex calculated fields, advanced, matrix, and composite reports, dashboards, scorecards, Worksheets, and Discovery Boards - Expert-level proficiency in Workday Report Writer, including Composite Reporting, Worksheets, and Discovery Boards - Excellent stakeholder management consulting experience, with the ability to educate stakeholders on what’s possible versus what’s not within Workday and other reporting tools - Strong business requirement gathering skills, including the ability to recommend appropriate reporting outlets and tools based on stakeholder needs - Ability to translate business requirements into insightful, actionable reporting solutions - Strong understanding of HR data and employee lifecycle processes (e.g., talent acquisition, onboarding, talent management, workforce planning, position management, learning and development) - Familiarity with legal, compliance, and regulatory reporting requirements and global/local data collection processes - Excellent verbal and written communication skills, with the ability to interact effectively with both technical and non-technical stakeholders - Experience supporting HR data and reporting teams and developing automated, self-service reporting solutions in Workday and/or across other HR systems Preferred Skills and Experience - Workday reporting certifications - Workforce planning experience - Experience with data warehousing, data visualization and analysis tools such as Power BI, SQL, R, or Python Compensation The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. - The salary range for this role is $106,000 – $163,400. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Overview POSITION OVERVIEW Fidelity National Financial (FNF) is seeking a Senior Fraud Data Analyst to join the Compliance organization’s Fraud Operations function. This role is responsible for supporting the intake, documentation, and analysis of wire fraud events (both attempted and confirmed) ensuring incidents are captured accurately and consistently to enable downstream analytics, detection, response, and regulatory reporting. As a key member of the Fraud Operations team, this individual will work cross-functionally with Information Security, Technology, Operations, and business units to manage fraud event intake, correlate signals across multiple systems, identify discrepancies, and support post-incident reviews. The role also helps ensure that insights and lessons learned from incidents are fed back into fraud detection processes, operational controls, and training programs as part of a structured continuous improvement cycle. The ideal candidate is highly disciplined, detail-oriented, and driven by measurable operational outcomes. Success in this role is demonstrated through improvements in data quality, intake accuracy, fraud detection insights, and operational effectiveness across the fraud lifecycle. LOCATION - This role sits 100% remote. DUTIES & RESPONSIBILITIES Fraud Data Integration & Signal Correlation - Aggregate, transform, and analyze data from multiple systems including Proofpoint, escrow platforms, banking data, and internal wire-related sources. - Correlate fraud-related signals across platforms to identify patterns, systemic risks, and emerging threat vectors. - Maintain consistent taxonomies, metadata standards, and structured analytic methodologies to ensure reliable reporting and analysis. Fraud Detection & Intelligence Enablement - Generate actionable insights that improve fraud monitoring, triage, detection capabilities, and overall fraud threat visibility. - Identify opportunities to strengthen internal controls and improve the security of the wire instruction lifecycle. - Partner with Fraud Operations, Compliance, Information Security, and external intelligence sources to enhance detection capabilities and threat intelligence. Compliance Reporting & Analytics - Produce compliance-ready reporting including dashboards, risk exposure reporting, Key Risk Indicators (KRIs), performance indicators, and fraud trend analyses. - Develop structured reports supporting investigations, regulatory reporting, and audit defensibility. - Ensure consistent and high-quality metadata to support enterprise-level fraud reporting and lifecycle visibility. Operational Enablement & Cross-Functional Collaboration - Collaborate with Fraud Operations, intake teams, and technology partners to translate analytics into operational improvements. - Provide analytical insights to support process hardening, system controls, and fraud prevention initiatives. - Support coordination with external partners including law enforcement, banking institutions, and cyber intelligence organizations. MINIMUM REQUIREMENTS - Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Finance, or a related field, or equivalent combination of education and professional experience. - 4+ years of experience working with data analytics, data engineering, fraud analysis, financial crime analytics, or similar analytical roles. - Strong experience working across the full data lifecycle including data preparation, transformation, analysis, and insight generation. - Proficiency with SQL and modern data analysis tools including Excel, Power Query, Power BI, or similar analytics platforms. - Ability to design and work with structured and unstructured datasets, ensuring accuracy, normalization, and analytical readiness. - Demonstrated ability to identify patterns, anomalies, and correlations within large or complex data sets. - Ability to translate complex data findings into clear, actionable insights for technical and non-technical stakeholders. - Strong attention to detail and ability to work effectively in high-stakes operational environments. PREFERRED EXPERIENCE - Experience working with fraud analytics, financial crimes, wire fraud, or cyber fraud environments. - Familiarity with data modeling techniques and scalable data architecture supporting enterprise reporting and analytics. - Experience leveraging AI or machine learning techniques such as classification, anomaly detection, pattern recognition, or predictive modeling within analytics workflows. - Experience developing dashboards, operational metrics, and reporting frameworks supporting compliance, risk, or fraud detection programs. - Experience working cross-functionally with Compliance, Information Security, Operations, and external intelligence partners. - Familiarity with enterprise fraud monitoring platforms, email security tools (e.g., Proofpoint), banking transaction data, or escrow platforms. - Experience supporting incident response, fraud investigations, or detection tuning initiatives. COMPENSATION & BENEFITS This position has the potential to earn compensation in the range of $110,000 - $150,000 annually based on location and job-related factors such as skillset and experience. Actual rate may vary within the range provided, depending on a number of factors, including skillset, experience and location. The base compensation is one component of the total rewards package offered to our employees, including optional health and welfare insurance (medical/dental/vision/life/disability); paid holidays, vacation, and sick time off; and matching 401(k) plan and matching employee stock purchase plan.

• Content characterization of data; gathering key insights derived from different views and data combinations • Emphasize data from architecture, engineering and construction designs • Prototype and measure the quality and effectiveness of new data aggregations and enrichments • Build reporting to measure progress in key initiatives and improve accessibility of general insights • Leverage Data Mining techniques and analytics peers in teams around the company to develop new data sources and potential business insights • Document and organize work to provide transparency