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Senior Data Analyst

Posted about 2 months agoViewed

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๐Ÿ’Ž Seniority level: Senior, 5+ years

๐Ÿ“ Location: Canada

๐Ÿ” Industry: Fintech

๐Ÿข Company: KOHO

๐Ÿ—ฃ๏ธ Languages: English

โณ Experience: 5+ years

๐Ÿช„ Skills: PostgreSQLSQLData AnalysisETLGitData visualizationData modelingData analytics

Requirements:
  • You have 5+ years of experience in data roles
  • You can write, review and enhance SQL queries with a strong focus on code performance
  • You demonstrate advanced expertise in DBT, independently implementing complex features and understanding shared team pipelines
  • You have strong version control skills with Git, efficiently analyzing code history and reviewing PRs for quality and performance
  • You are a strong data story teller: you can adapt communication to different audiences and clearly articulate recommendations that connect technical work to strategic business outcomes.
  • You proactively identify work that should be prioritized based on business needs and collaborate effectively with stakeholders across domains
Responsibilities:
  • Own large data domain(s): integrating data requirements into project planning, collaborate with multiple cross-functional teams, building pipelines and dashboards, coordinate with other data team members on team projects and preserving our data warehouse as the source of truth at KOHO
  • Design and optimize data models with a strong focus on performance, leveraging advanced DBT features independently
  • Develop dashboards that go beyond visualization to answer critical business questions and support strategic decision-making
  • Proactively identify trends and opportunities through deep data analysis, thinking beyond immediate requests to uncover additional relevant insights
  • Partner with stakeholders to refine requirements, offering data-driven recommendations that align with business priorities and maximize impact
  • Autonomously own project planning and participate in cross functional domain ownership
  • Mentor team members and contribute to establishing best practices within the data organization
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