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Financial Data Analyst (Remote)

The role involves extracting and analyzing financial data to create automated dashboards and manage database pipelines. The analyst will identify data anomalies and automate recurring reports to improve operational efficiency.

  • Remote
  • Canada
  • Posted Sep 5, 2026
  • 1 position

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Job summary

Role: Financial Data Analyst (Remote) Location: Remote (Canada) Employment Type: Full-Time Job Overview: We are looking for a Financial Data Analyst who bridges the gap between financial theory and data engineering by creating automated financial dashboards and managing database pipelines. What You'll Do: Extract, clean, and analyze financial data using SQL, Python, or R. Build automated dashboards in Tableau or Power BI for financial reporting. Identify anomalies in large financial datasets and propose technical corrections. Automate recurring manual financial reports to improve operational efficiency. Collaborate with data engineering teams to refine financial data structures. What We're Looking For: Bachelor’s degree in Data Analytics, Computer Science, Finance, or Statistics. 2+ years of experience analyzing large-scale financial data. Strong proficiency in SQL and BI tools (Power BI, Tableau, Looker). Solid understanding of foundational accounting and financial principles. Core Competencies for Success: Analytical Thinking: Ability to translate complex financial data into clear, actionable narratives. Adaptability: Comfort working independently and thriving in a fast-paced, fully remote environment. Attention to Detail: Commitment to maintaining 100% accuracy in financial reporting and compliance. Cross-Functional Collaboration: Skill in presenting financial insights to non-technical stakeholders. Why You’ll Love Working With Us: Remote-First Culture: We believe you do your best work when you have the flexibility to work from where you are most productive. Meaningful Impact: You aren't just crunching numbers; your insights will directly influence our strategic growth. Continuous Learning: We encourage professional development and support continuous learning in the ever-evolving finance sector. Equal Opportunity Employer We hire based on skills, expertise, and qualifications. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are evaluated based on demonstrated expertise and suitability for the role. Apply Now!

What you’ll do

The role involves extracting and analyzing financial data to create automated dashboards and manage database pipelines. The analyst will identify data anomalies and automate recurring reports to improve operational efficiency.

Requirements

Candidates need a Bachelor's degree in a quantitative field and at least 2 years of experience analyzing large-scale financial data. Proficiency in SQL, BI tools, and a solid understanding of accounting principles are required.

Benefits

• Remote-First Culture • Professional Development • Continuous Learning

Listed skills

  • Power BIPreferred
  • SQLPreferred
  • TableauPreferred
  • Financial ReportingPreferred
  • Financial analysisPreferred
  • PythonPreferred
  • Cross-Functional CollaborationPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • SQL
  • Python
  • R
  • Tableau
  • Power BI
  • Looker
  • Financial Analysis
  • Data Engineering
  • Financial Reporting
  • Accounting Principles
  • Analytical Thinking
  • Cross-Functional Collaboration

Job areas

  • Data & Analytics
  • Finance & Accounting
  • Technology

Additional details

Minimum education
Bachelor’s degree
Minimum experience
2+ years
Posting language
English
Working hours
40 hours per week
Seniority
Entry level
Application method
Direct apply is available