{"id":"rol_cf483e3e39eb","title":"Financial Analyst (Data Science & Automation Specialist), Manager (Match Group Americas LLC, Dallas, Texas)","location":"Dallas, Texas","address_locality":"Dallas","address_region":"TX","address_country":"US","postal_code":null,"remote":"hybrid","employment_type":null,"seniority":null,"comp_min":null,"comp_max":null,"comp_currency":null,"comp_period":null,"skills":[],"status":"open","published_at":"2026-10-30T18:56:39.242561Z","closed_at":null,"role_url":"https://parlel.com/c/matchgroup/rol_cf483e3e39eb","description":"Job Duties\n\n• Perform analysis of Technology operating expenses (OPEX), including budgeting, forecasting, variance analysis, and vendor spend evaluation, to support strategic financial planning and informed investment decisions (15% of the time).\n\n• Analyze and reconcile technology-related expenditures during the monthly close process, validate actual results within financial planning systems, and ensure the accuracy, completeness, and timeliness of financial reporting (15% of the time).\n\n• Develop and automate financial and operational analysis workflows using advanced analytical and automation tools to improve efficiency, scalability, and consistency of reporting and investment evaluations (10% of the time).\n\n• Consolidate and standardize full financial reporting across multiple functional areas, optimizing data structures and planning system integrations to enhance enterprise-level visibility and decision-making (10% of the time).\n\n• Design and maintain automated financial reports, dashboards, and executive presentation materials using cloud-based tools to provide real-time insight into financial performance, cost drivers, and technology investment outcomes (15% of the time).\n\n• Partner closely with Accounting, Finance, and cross-functional stakeholders to align financial data, resolve discrepancies, and ensure financial accuracy, transparency, and strong internal controls (10% of the time).\n\n• Architect and implement predictive financial models using statistical and machine learning techniques to forecast technology spending trends, optimize cost allocation strategies, and support scenario-based investment planning (10% of the time).\n\n• Maintain design and governance of enterprise-level data pipelines and financial data architecture, integrating structured and unstructured data sources into scalable analytics environments to enhance automation, data integrity, and advanced reporting capabilities (10% of the time).\n\n• Assess and deploy emerging data science and automation technologies (including AI/ML tools and cloud-based analytics platforms) to transform financial analysis processes, drive continuous innovation, and establish best practices across the finance organization (5% of the time).\n\nTelecommuting: Telecommuting is permitted. When not telecommuting, must report to 8750 North Central Expressway, Suite 1400, Dallas, Texas 75225.\n\nSalary: $137,010 to $158,025 per year\n\nMinimum Requirements: Bachelor's degree or U.S. equivalent in Finance, Data Science, Quantitative Management, or related field, plus 5 years of experience as a Financial Analyst or in any occupation, job title, or position involving data science, corporate finance, or financial planning and analysis (FP&A).\n\nAlternate Requirements: Master's degree or U.S. equivalent in Finance, Data Science, Quantitative Management, or related field, plus 3 years of experience as a Financial Analyst or in any occupation, job title, or position involving data science, corporate finance, or financial planning and analysis (FP&A)..\n\nSpecial Requirements\n\n• 3 years of professional experience integrating, reconciling, and analyzing data from multiple enterprise systems to improve forecasting, reporting consistency, and accuracy of large-scale financial datasets and improve decision-making across cross-functional stakeholders.\n\n• 2 years of professional experience using advanced analytical, machine-learning, and automation tools, including Python, SQL, PyTorch/ML, Google Apps Script, Excel VBA macros, and RShiny, to automate workflows, analyze and prepare financial and operational data, build predictive models, and develop scalable reporting and visualization tools.\n\n• 2 years of professional experience developing financial reports, dashboards, and visualizations using enterprise reporting and business intelligence tools, including advanced functions of Excel, Google Workspace, Workday, OneStream, and AWS QuickSight.\n\n• 2 years of professional experience managing, reconciling, and forecasting multi-million-dollar Technology operating expense (OPEX) budgets, enhancing forecast accuracy, and reducing reporting and close-cycle timelines through streamlined, cross-functional reporting frameworks.\n\n• 2 years of professional experience improving financial or operational processes through automation, consolidation of reporting workflows, or reduction of close-cycle or reporting timelines.\n\n• 2 years of professional experience applying advanced analytics techniques, including statistical analysis or machine-learning methods, to support forecasting, performance analysis, or leadership decision-making.\n\n• 2 years of professional experience automating manual workflows, consolidating fragmented processes, and delivering measurable efficiency improvements across financial and operational teams.\n\nHow to Apply: Email resume to Lauren.Lozano@match.com. Specify ad code AYLL.\n\n#LI-DNI\n\n#BI-DNI","apply_url":"https://jobs.lever.co/matchgroup/02725a25-a7f5-4889-a198-3d9579a6beb3/apply","created_at":"2026-10-30T18:56:39.242561Z","company":{"handle":"matchgroup","name":"Match Group","tagline":"Dating apps including Tinder, Hinge, and Match","location":"Dallas","size":null,"industry":null,"company_url":"https://parlel.com/c/matchgroup"}}