Financial Analyst, Data Science & Automation Specialist, Manager

Match Group

. Analyze Technology operating expenses, including budgeting, forecasting, variance analysis, and vendor spend evaluation .

Posted 10/22/2026full-timeDallas • Texas • United StatesMid-LevelSenior💰 $137,010 - $158,025 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in financial analysis, budgeting, and forecasting, with a strong focus on automating financial workflows and developing predictive models using statistical and machine-learning techniques. Proficient in integrating and reconciling data from multiple systems while ensuring financial accuracy and controls.

Highest-signal resume keywords

Financial AnalysisBudgeting And ForecastingPython ProgrammingStatistical AnalysisData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Financial ReportingVariance AnalysisData ReconciliationPredictive Financial ModelingAutomation WorkflowsMachine Learning TechniquesExcel VBA MacrosSQLGoogle Apps ScriptRShiny

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

ExcelGoogle WorkspaceWorkdayOneStreamAWS QuickSight

Industry Keywords

Financial Planning And AnalysisTechnology OPEXData ScienceQuantitative ManagementEnterprise Data Pipelines

Tech Stack

Tools & technologies

AWSCloudPythonPyTorchSQLVBA

About the role

Key responsibilities & impact

Analyze Technology operating expenses, including budgeting, forecasting, variance analysis, and vendor spend evaluation
Analyze and reconcile technology expenditures during monthly close and validate results in financial planning systems
Develop and automate financial and operational analysis workflows
Consolidate and standardize financial reporting across functional areas
Design and maintain automated financial reports, dashboards, and executive presentation materials
Partner with Accounting, Finance, and cross-functional stakeholders to resolve discrepancies and maintain financial accuracy and controls
Architect and implement predictive financial models using statistical and machine-learning techniques
Govern enterprise data pipelines and financial data architecture
Assess and deploy emerging data science and automation technologies, including AI/ML tools and cloud-based analytics platforms

Requirements

What you’ll need

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 involving data science, corporate finance, or financial planning and analysis (FP&A)
Alternatively, Master's degree or U.S. equivalent in Finance, Data Science, Quantitative Management, or related field, plus 3 years of experience in the specified fields
3 years of professional experience integrating, reconciling, and analyzing data from multiple enterprise systems
2 years of professional experience using Python, SQL, PyTorch/ML, Google Apps Script, Excel VBA macros, and RShiny
2 years of professional experience developing financial reports, dashboards, and visualizations using Excel, Google Workspace, Workday, OneStream, and AWS QuickSight
2 years of professional experience managing, reconciling, and forecasting multi-million-dollar Technology OPEX budgets
2 years of professional experience improving financial or operational processes through automation or reporting workflow consolidation
2 years of professional experience applying statistical analysis or machine-learning methods
2 years of professional experience automating manual workflows and delivering measurable efficiency improvements

Benefits

Comp & perks

Telecommuting is permitted