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Finance & Risk Analytics Senior Analyst

Posted about 13 hours agoViewed

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💎 Seniority level: Senior, 3 to 5 years

📍 Location: United States

💸 Salary: 130000.0 - 182000.0 USD per year

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNewsContentSocial NetworkSocial Media

⏳ Experience: 3 to 5 years

🪄 Skills: SQLData AnalysisETLMachine LearningData visualization

Requirements:
  • 3 to 5 years' experience in business analytics, data analytics, data science, or a related analytical field.
  • BA/BS in Computer Science, Management Information Systems, Mathematics, Statistics, Accounting, Finance, or a related field.
  • Experience with platform technology companies is preferred.
  • Working knowledge of SQL/BigQuery and data automation; machine learning experience is a plus.
  • Comfortable handling raw financial data from systems like NetSuite and Salesforce.
  • Experience with data analytics and visualization tools (e.g., BigQuery, Looker, Tableau).
  • Understanding of ETL processes, including access management, monitoring, and quality control.
  • Strong communication skills for articulating data insights to technical and non-technical audiences.
  • Solid grasp of financial and business concepts to translate business needs into technical solutions.
  • Proven ability to use data and critical thinking to solve business problems and generate insights.
  • Experience interpreting business logic implemented in code (Python, JavaScript, etc.) is a plus.
Responsibilities:
  • Partner with Finance teams to support strategic decision-making through data analysis and reporting.
  • Develop and implement analytics and reporting solutions driving efficiency and innovation within Finance.
  • Design and maintain visually appealing dashboards and reports using tools like Google Looker and Hex.
  • Analyze financial and operational data to identify trends, patterns, and areas for improvement.
  • Translate data insights into actionable recommendations for Finance stakeholders.
  • Build and maintain scalable analytical tools supporting critical reporting and management processes.
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