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

Job Duties

Telecommuting: Telecommuting is permitted. When not telecommuting, must report to 8750 North Central Expressway, Suite 1400, Dallas, Texas 75225.

Salary: $137,010 to $158,025 per year

Minimum 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).

Alternate 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)..

Special Requirements

How to Apply: Email resume to Lauren.Lozano@match.com. Specify ad code AYLL.

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Responsibilities

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).; 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).; 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).; 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).; 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).; 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).; 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).; 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).; 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).

Requirements

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.; 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.; 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 operating expense (OPEX) budgets, enhancing forecast accuracy, and reducing reporting and close-cycle timelines through streamlined, cross-functional reporting frameworks.; 2 years of professional experience improving financial or operational processes through automation, consolidation of reporting workflows, 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.