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Senior Analytics Engineer

Posted 2024-12-03

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💎 Seniority level: Senior, 8+ years in Analytics, 3+ years in SaaS at a fintech company

📍 Location: United States, EST, NOT STATED

💸 Salary: 125000 - 145000 USD per year

🔍 Industry: Fintech

🏢 Company: Patriot Software

🗣️ Languages: English

⏳ Experience: 8+ years in Analytics, 3+ years in SaaS at a fintech company

🪄 Skills: PythonBusiness IntelligenceData AnalysisETLGitTableauAlgorithmsData analysisData engineeringCommunication SkillsAnalytical SkillsAttention to detailOrganizational skills

Requirements:
  • Experience working in Analytics (8+ years)
  • Experience working in SaaS at a fintech company (3+ years)
  • Data Modeling for Data Warehouses (8+ years)
  • dbt Experience (1+ years)
  • Python for Data Engineering (4+ years)
  • Common Off the Shelf (COTS) business intelligence tool experience (5+ years)
  • Strong analytical skills with the ability to interpret complex data.
  • Working knowledge of statistical analysis techniques including ML/AI algorithms.
  • Excellent communication skills to present complex data findings clearly.
  • Strong attention to detail and organizational skills.
  • Ability to manage multiple projects simultaneously.
  • Ability to work collaboratively in cross-functional teams.
Responsibilities:
  • Collaborate and prototype with stakeholders to define business requirements for analysis and reporting.
  • Design, develop, and maintain data models, balancing tradeoffs between possible schema design decisions.
  • Build reports from data models using business intelligence tools to provide meaningful insights.
  • Develop and automate data visualizations, dashboards, and reports that effectively communicate complex data.
  • Utilize Python to extract data from various sources and load it into appropriate data storage solutions.
  • Develop and maintain ETL/ELT workflows to transform and clean raw data.
  • Work closely with cross-functional teams to identify data requirements and define metrics.
  • Conduct exploratory data analysis to uncover opportunities and insights.
  • Stay up-to-date with industry trends and best practices in analytics and data engineering.
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