Financial Analyst (Data Science & Automation Specialist), Manager

Match Group Americas, LLC; Dallas (TX); Remote; USD 137.000 - 158.000; Vollzeit

Zusammenfassung

Match Group Americas LLC in Dallas, TX seeks a Financial Analyst (Data Science & Automation Specialist), Manager to lead advanced analytics and automation-driven finance initiatives. You will analyze technology OPEX, build predictive models, automate reports and dashboards, and partner with accounting and FP&A to improve budgeting, forecasting, and financial planning.

The role emphasizes scalable data pipelines, cross-functional collaboration, and transparent internal controls, with

Qualifikationen

• Bachelor's degree or U.S. equivalent in Finance, Data Science, Quantitative Management, or related field + 5 years of relevant experience.
• Alternate: Master's degree or U.S. equivalent + 3 years of relevant experience.

Aufgaben

• Analyze and manage Technology OPEX budgeting and forecasting.
• Perform monthly close reconciliations and ensure accuracy of financial reporting.
• Develop and automate financial and operational analyses and dashboards.
• Standardize financial reporting across functional areas and optimize data structures.
• Design predictive financial models to forecast technology spending and support investment planning.
• Collaborate with Accounting, Finance, and cross-functional teams to ensure data integrity and internal controls.
• Lead enterprise data pipelines and financial data architecture for scalable analytics.

Kenntnisse

Financial forecasting

Data analysis

Automation

Cross-functional collaboration

Strategic decision making

Ausbildung

Bachelor's degree in Finance or related field

Master's degree (preferred)

Tools

Python

SQL

PyTorch/ML

Google Apps Script

Excel VBA

RShiny

Workday

OneStream

AWS QuickSight

Jobbeschreibung

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

Job Duties

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).

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

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.