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Analytics Engineer

9fin delivers fast and comprehensive financial, credit, legal & ESG analysis for debt capital markets using proprietary technology.
Data
Mid-Level Software Engineer
Hybrid
101 - 500 Employees
Finance · Enterprise SaaS
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Description For Analytics Engineer

9fin is revolutionizing the debt capital markets through advanced technology and data analytics. As an Analytics Engineer at 9fin, you'll join a critical team driving the company's mission to transform how debt markets operate. The role sits within the Analytics team, where you'll be responsible for designing and maintaining the central data warehouse that powers decision-making across the organization.

The position offers an opportunity to work with modern data stack technologies including BigQuery, dbt, and Cube, while building sophisticated data models that serve the complex analytical needs of various departments. You'll be instrumental in establishing data governance policies, ensuring data quality, and optimizing performance of data pipelines.

9fin serves prestigious clients including 9 of the top 10 Investment Banks, leading Asset Managers, Hedge Funds, and Law Firms. The company offers a competitive package including equity options, comprehensive health benefits, and flexible working arrangements. You'll work in a hybrid environment with the freedom to work abroad for up to 3 months annually.

The ideal candidate brings deep expertise in data warehousing, advanced SQL skills, and experience with modern data tools. You'll need strong communication abilities to work effectively with both technical and business stakeholders. This role offers significant growth potential and the opportunity to shape the data foundation of a rapidly growing fintech company.

Working at 9fin means joining a team of smart, curious professionals passionate about using data to drive better decisions. The company promotes a culture of learning with professional development support and regular team social events. If you're excited about building robust data infrastructure and driving data-driven decision making in the financial sector, this role presents an excellent opportunity to make a significant impact.

Last updated 7 days ago

Responsibilities For Analytics Engineer

  • Lead the design and evolution of data models in cloud data warehouse
  • Drive data integration and transformation excellence
  • Champion data warehouse architecture and governance
  • Partner with business units to understand and implement data solutions
  • Lead complex data investigations and implement solutions
  • Mentor junior engineers and analysts
  • Optimize ELT pipelines for performance and reliability
  • Implement data governance policies

Requirements For Analytics Engineer

Python
  • Deep expertise in data warehousing principles and architectural patterns
  • Significant experience in advanced data modeling and cloud data warehouses
  • Mastery of SQL and dbt
  • Strong proficiency in ELT processes and data orchestration
  • Experience with semantic layer implementation
  • Strong commitment to data quality and governance
  • Exceptional analytical and problem-solving skills
  • Excellent communication and collaboration skills
  • Python proficiency (bonus)

Benefits For Analytics Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Equity
Education Budget
Parental Leave
  • Competitive Salary
  • Equity options
  • Pension with up to 7% company match
  • Private Medical Insurance
  • Income Protection
  • Group Life Assurance
  • Season Ticket Loan
  • Cycle to Work scheme
  • 25 holiday days per year
  • Work abroad for up to 3 months a year
  • 1 month paid sabbatical after 5 years
  • Enhanced parental leave
  • Professional learning and development budget
  • Quarterly team socials
  • Summer and Winter company social events

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