Financial Analyst (Data Science & Automation Specialist), Manager (Match Group Americas LLC, Dallas, Texas)

Match Group • Dallas, TX

2d • Hybrid

About The Position

The Financial Analyst, Data Science & Automation Specialist, Manager will support strategic financial planning and investment decisions by analyzing Technology operating expenses (OPEX), including budgeting, forecasting, variance analysis, and vendor spend evaluation. The role also supports monthly close activities by reconciling technology expenditures, validating results in financial planning systems, and ensuring accurate, complete, and timely financial reporting.

The position develops automated financial and operational workflows, consolidates reporting across functional areas, and maintains financial reports, dashboards, and executive presentation materials using cloud-based tools. It partners with Accounting, Finance, and cross-functional stakeholders to align data, resolve discrepancies, and maintain strong internal controls. The role also builds predictive financial models, governs enterprise data pipelines and financial data architecture, and evaluates emerging data science and automation technologies to improve finance processes.

Telecommuting is permitted. When not telecommuting, the employee must report to 8750 North Central Expressway, Suite 1400, Dallas, Texas 75225. The salary range is $137,010 to $158,025 per year.

Requirements

• Bachelor's degree or U.S. equivalent in Finance, Data Science, Quantitative Management, or a related field, plus 5 years of experience as a Financial Analyst or in a role involving data science, corporate finance, or financial planning and analysis (FP&A); alternatively, a master's degree or U.S. equivalent in one of these fields plus 3 years of such experience.
• 3 years of professional experience integrating, reconciling, and analyzing data from multiple enterprise systems to improve forecasting, reporting consistency, accuracy of large-scale financial datasets, and cross-functional decision-making.
• 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 data, build predictive models, and develop scalable reporting and visualization tools.
• 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.
• 2 years of professional experience managing, reconciling, and forecasting multi-million-dollar Technology OPEX budgets, improving forecast accuracy, and reducing reporting and close-cycle timelines through cross-functional reporting frameworks.
• 2 years of professional experience improving financial or operational processes through automation, reporting workflow consolidation, or reduction of close-cycle or reporting timelines.
• 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.
• 2 years of professional experience automating manual workflows, consolidating fragmented processes, and delivering measurable efficiency improvements across financial and operational teams.

Responsibilities

• Analyze Technology operating expenses, including budgeting, forecasting, variance analysis, and vendor spend evaluation, to support financial planning and investment decisions.
• Analyze and reconcile technology expenditures during monthly close, validate actual results in financial planning systems, and ensure accurate, complete, and timely reporting.
• Develop and automate financial and operational analysis workflows using analytical and automation tools.
• Consolidate and standardize financial reporting across functional areas and optimize data structures and planning system integrations.
• Design and maintain automated financial reports, dashboards, and executive presentation materials using cloud-based tools.
• Partner with Accounting, Finance, and cross-functional stakeholders to align financial data, resolve discrepancies, and support financial accuracy, transparency, and internal controls.
• Architect and implement predictive financial models using statistical and machine-learning techniques to forecast technology spending, optimize cost allocation, and support scenario-based investment planning.
• Maintain the design and governance of enterprise data pipelines and financial data architecture, integrating structured and unstructured data sources into scalable analytics environments.
• Assess and deploy emerging data science and automation technologies, including AI/ML tools and cloud-based analytics platforms, and establish finance best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager