--- title: 'Financial Analyst (Data Science & Automation Specialist), Manager (Match Group Americas LLC, Dallas, Texas) at Match Group' canonical: 'https://feeny.ai/job/financial-analyst-data-science-automation-specialist-manager-match-group-r8fk9n57fdad' type: 'job' last_seen: '2026-10-27' --- # Financial Analyst (Data Science & Automation Specialist), Manager (Match Group Americas LLC, Dallas, Texas) at Match Group - **Company:** Match Group - **Location:** Dallas, TX - **Compensation:** $137k–$158k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-10-27 - **Apply:** https://jobs.lever.co/matchgroup/02725a25-a7f5-4889-a198-3d9579a6beb3 ## Job 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). 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. How to Apply: Email resume to Lauren.Lozano@match.com. Specify ad code AYLL. ## #LI-DNI ## #BI-DNI ## About Match Group ## Company Profile: Match Group Match Group is a publicly traded internet company that owns and operates a portfolio of dating and social connection apps, including Tinder, Hinge, Match.com, OkCupid, Plenty of Fish, Azar, Her, Meetic, and The League. The company focuses on helping people find meaningful relationships across diverse demographics and geographies. ### Status **Public** – Ticker: MTCH (NASDAQ). IPO in 2015. ### Key Facts - **Founded**: 2009 (as a spin-out from IAC) - **Headquarters**: Dallas, Texas, USA (with 20 offices worldwide) - **Employees**: 2,000+ globally (as of 2026) - **CEO**: Spencer Rascoff (as of 2026) - **Chairman**: Thomas J. McInerney ### Market & Financials | Metric | Value | Date | |--------|-------|------| | Market Cap | ~$9.5B | 2026 | | Annual Revenue (FY2025) | $3.5B | 2025 | | Operating Income (FY2025) | $873M | 2025 | | Net Income (FY2025) | $613M | 2025 | | Q2 2026 Revenue | $853M | Quarter ended June 30, 2026 | | Diluted EPS (Q2 2026) | $0.70 | 2026 | *Sources: [LinkedIn](https://www.linkedin.com/company/matchgroup), SEC 10-Q filed Aug 5, 2026.* ### Notable Brands - **Tinder** – flagship dating app - **Hinge** – designed to be deleted (relationship-focused) - **Match.com** – long-standing online dating site - **OkCupid** – algorithm-driven matching - **Plenty of Fish** – free messaging platform - **Azar** – video-first social discovery - **Her** – dating and community for LGBTQ+ women - **Meetic** – European dating leader - **The League** – curated, career-oriented dating ### Competitive Advantages - **Portfolio breadth**: Brands serve different life stages and preferences, creating cross-platform user acquisition and retention. - **Network effects**: Over 500 million matches per month; one-third of marriages in the U.S. begin on a Match Group app. - **Global reach**: Available in 40+ languages across 190+ countries. - **Data & AI**: Deep investment in matching algorithms, safety systems, and personalization. ### Strategic Focus - **Safety & trust**: Strengthening user safety features (e.g., photo verification, background checks) and moderation tools. - **AI-driven innovation**: Leveraging machine learning for better matches, fraud detection, and conversational assistance. - **International expansion**: Growing in Asia (Azar), Latin America, and Europe. - **Monetization**: Subscription tiers (e.g., Tinder Platinum, Hinge Preferred) and a la carte features. ### Why Work Here (from Careers Page) - **Benefits**: Comprehensive medical, dental, vision; mental health support via Modern Health; ClassPass/Active & Fit memberships; 100% employer match on 401(k) up to 10% (capped at $10,000); Employee Stock Purchase Program; flexible PTO; generous parental leave; fertility and adoption benefits; pet insurance; annual training allowance. - **Culture**: “1 Match Group” philosophy – Employee Resource Groups (ERGs) and cross-brand collaboration; emphasis on belonging and giving back through volunteer opportunities. - **Career growth**: Internal mobility across brands and functions; access to Udemy and ongoing learning resources. - **Work environment**: Hybrid/remote flexibility depending on role; global teams spanning 20 offices across 19 countries. ### Sources 1. [Match Group Careers](https://mtch.com/careers/) 2. [Match Group About](https://mtch.com/about/) 3. [Match Group Life at Match Group](https://mtch.com/careers/life-at-match-group/) 4. [Match Group Open Positions (Lever)](https://jobs.lever.co/matchgroup) 5. 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