Match Group
Financial Analyst (Data Science & Automation Specialist), Manager (Match Group Americas LLC, Dallas, Texas)
Manager-level finance role at Match Group analyzing and forecasting Technology OPEX: budgeting, monthly close reconciliation, vendor spend analysis, plus building automated reports/dashboards and predictive ML models. Core tools: Python, SQL, ML frameworks, Excel/VBA, Workday, OneStream, AWS QuickSight. Telecommuting permitted with reporting to Dallas, TX office.
- Compensation
- $137K–$158K / yr
- Location
- Dallas, Texas
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's degree in Finance, Data Science, Quantitative Management, or related field plus 5 years of experience as a Financial Analyst or in data science, corporate finance, or FP&A
- Alternate: Master's degree in Finance, Data Science, Quantitative Management, or related field plus 3 years of experience as a Financial Analyst or in data science, corporate finance, or FP&A
- 3 years of experience integrating, reconciling, and analyzing data from multiple enterprise systems to improve forecasting and reporting accuracy
- 2 years of experience using analytical, ML, and automation tools including Python, SQL, PyTorch/ML, Google Apps Script, Excel VBA macros, and RShiny
- 2 years of experience developing financial reports, dashboards, and visualizations with Excel, Google Workspace, Workday, OneStream, and AWS QuickSight
- 2 years of experience managing, reconciling, and forecasting multi-million-dollar Technology OPEX budgets
- 2 years of experience improving financial or operational processes through automation or consolidation of reporting workflows
- 2 years of experience applying advanced analytics techniques, including statistical analysis or machine-learning methods
- 2 years of experience automating manual workflows and delivering measurable efficiency improvements across financial and operational teams
Full description
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).