Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$137к-158к/год
$120к$140кмедиана$190к
По похожим ролям (50) ~ $140к/год
На СНГ рынке: $3.6к/мес ($2.8к - $4.2к)
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В роли есть содержательные задачи по автоматизации финансовых процессов и прогнозному моделированию, но она объединяет финансовый анализ, машинное обучение, конвейеры данных и корпоративную отчетность.
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Слишком широкий охватСовременный стекФинансы и AI
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Financial Analyst (Data Science & Automation Specialist), Manager (Data Science/Automation): Analyzing and forecasting Technology OPEX while building automated financial reporting, dashboards, data pipelines, and predictive models with an accent on financial planning, machine learning, and enterprise data architecture. Focus on integrating large-scale financial datasets, automating fragmented workflows, and applying statistical and machine-learning techniques to improve forecasting, reporting accuracy, and investment decisions.
Location: Hybrid in Dallas, Texas; telecommuting is permitted, but when not telecommuting, work is required at 8750 North Central Expressway, Suite 1400, Dallas, Texas 75225.
Salary: $137,010–$158,025 per year.
Company
hirify.global operates a portfolio of online dating and relationship products.
What you will do
Analyze Technology operating expenses, including budgeting, forecasting, variance analysis, vendor spend evaluation, monthly close reconciliation, and validation of actual results.
Develop and automate financial and operational analysis workflows, reporting processes, dashboards, and executive presentation materials.
Consolidate and standardize financial reporting across functional areas while optimizing data structures and planning-system integrations.
Build predictive financial models using statistical and machine-learning techniques to forecast technology spending, optimize cost allocation, and support scenario-based investment planning.
Maintain enterprise data pipelines and financial data architecture integrating structured and unstructured data into scalable analytics environments.
Partner with Accounting, Finance, and cross-functional stakeholders to resolve discrepancies, strengthen controls, and deploy AI/ML and cloud-based analytics technologies.
Requirements
Bachelor's degree or U.S. equivalent in Finance, Data Science, Quantitative Management, or a related field, plus 5 years of experience as a Financial Analyst or in data science, corporate finance, or FP&A; alternatively, a master's degree or U.S. equivalent plus 3 years of such experience.
3 years of professional experience integrating, reconciling, and analyzing data from multiple enterprise systems to improve forecasting, reporting consistency, large-scale financial dataset accuracy, and cross-functional decision-making.
2 years of experience using Python, SQL, PyTorch/ML, Google Apps Script, Excel VBA macros, and RShiny for workflow automation, financial and operational data analysis, predictive modeling, reporting, and visualization.
2 years of experience developing financial reports, dashboards, and visualizations with advanced Excel, Google Workspace, Workday, OneStream, and AWS QuickSight.
2 years of experience managing, reconciling, and forecasting multi-million-dollar Technology OPEX budgets and improving forecast accuracy and close-cycle timelines.
2 years of experience improving financial or operational processes through automation, reporting consolidation, or reduced close-cycle and reporting timelines.
2 years of experience applying statistical analysis or machine-learning methods to forecasting, performance analysis, or leadership decision-making.
2 years of experience automating manual workflows, consolidating fragmented processes, and delivering measurable efficiency improvements across financial and operational teams.
Culture & Benefits
Hybrid work arrangement with permitted telecommuting.
Collaboration with Accounting, Finance, and cross-functional stakeholders.
Opportunity to apply AI/ML, cloud analytics, automation, and scalable data architecture across the finance organization.
Hiring process
Submit a resume by email to Lauren.Lozano@match.com.
Specify ad code AYLL.
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