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Match Group
Match Group
1,001 – 5,000 Employees
H1B Visa SponsorB2CTechnology
Match Group is a global technology company building digital platforms and applications that help people form relationships and connections. Its products serve varied audiences across more than 40 languages, reflecting a broad approach to online dating and social discovery. The company places particular emphasis on trust, safety, privacy, and inclusive user experiences as it develops technology for people navigating modern relationships. With a large international technology organization, Match Group offers a range of roles connected to consumer products, platform development, and the systems that support safe, accessible digital interactions.
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Financial Analyst Manager, Data Science and Automation

Lead Match Group’s technology finance analysis and predictive reporting through automated workflows, forecasting, machine-learning models, dashboards, and enterprise financial data architecture.

USUnited StatesTXTexas
$137,010 – $158,025 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Analyst
AWSCloudPythonPyTorchSQLVBA

Description

  • Analyze technology operating expenses, including budgets, forecasts, variances, and vendor spending.
  • Reconcile technology expenditures during monthly close and validate figures in financial planning systems.
  • Build and automate financial and operational analysis workflows.
  • Standardize and consolidate financial reporting across functional areas.
  • Create and maintain automated reports, dashboards, and executive presentation materials.
  • Work with Accounting, Finance, and cross-functional partners to resolve discrepancies and uphold financial accuracy and controls.
  • Design and implement predictive financial models using statistical and machine-learning methods.
  • Oversee enterprise data pipelines and financial data architecture.
  • Evaluate and deploy data science and automation technologies, including AI/ML tools and cloud analytics platforms.

Requirements

  • Bachelor’s degree or U.S. equivalent in Finance, Data Science, Quantitative Management, or a related field, plus five years of experience as a Financial Analyst or in data science, corporate finance, or financial planning and analysis (FP&A).
  • Alternatively, a master’s degree or U.S. equivalent in Finance, Data Science, Quantitative Management, or a related field, plus three years of experience in the specified fields.
  • Three years of professional experience integrating, reconciling, and analyzing data from multiple enterprise systems.
  • Two years of professional experience using Python, SQL, PyTorch/ML, Google Apps Script, Excel VBA macros, and RShiny.
  • Two years of professional experience creating financial reports, dashboards, and visualizations with Excel, Google Workspace, Workday, OneStream, and AWS QuickSight.
  • Two years of professional experience managing, reconciling, and forecasting multi-million-dollar technology operating expense budgets.
  • Two years of professional experience improving financial or operational processes through automation or consolidation of reporting workflows.
  • Two years of professional experience applying statistical analysis or machine-learning methods.
  • Two years of professional experience automating manual workflows and achieving measurable efficiency improvements.

Benefits

  • Telecommuting is permitted.

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