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

Match Group • Dallas, TX

4d • $137,010 - $158,025 • Hybrid

About The Position

Match Group Americas LLC is hiring a Financial Analyst (Data Science & Automation Specialist) at the Manager level in Dallas, Texas. The role analyzes Technology operating expenses, supports budgeting and forecasting, and ensures accurate financial reporting. It also develops automated analytical workflows, predictive models, reporting dashboards, and scalable financial data pipelines to improve efficiency, financial insight, and investment planning. The position partners with Accounting, Finance, and cross-functional stakeholders and evaluates emerging data science and automation technologies. Telecommuting is permitted; when not telecommuting, the employee must report to 8750 North Central Expressway, Suite 1400, Dallas, Texas 75225. Salary is $137,010 to $158,025 per year. To apply, email a resume to [email protected] and specify ad code AYLL.

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 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 reporting and visualization tools.
• 2 years of professional experience developing reports, dashboards, and visualizations using advanced Excel functions, Google Workspace, Workday, OneStream, and AWS QuickSight.
• 2 years of professional experience managing, reconciling, and forecasting multi-million-dollar Technology OPEX budgets and improving forecast accuracy and reporting and close-cycle timelines.
• 2 years of professional experience improving financial or operational processes through automation, reporting workflow consolidation, or reduced close-cycle or reporting timelines.
• 2 years of professional experience applying statistical analysis or machine-learning methods to 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 strategic 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 financial reporting.
• Develop and automate financial and operational analysis workflows using advanced 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 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-level data pipelines and financial data architecture, integrating structured and unstructured data sources.
• Assess and deploy emerging data science and automation technologies, including AI/ML tools and cloud-based analytics platforms, to improve financial analysis processes and establish best practices.

What This Job Offers

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