Business Data Analyst

New
Eastern CanadaFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3+ years
Required Skills
PythonSQLArtificial IntelligenceMachine LearningNumpyTableauPandasscikit-learn

Requirements

  • Bachelor's Degree
  • 3+ years of experience as a Business Data Analyst or in a similar business role
  • Non-negotiable deep proficiency in SQL, including data modeling, optimized query writing, complex query debugging, and advanced features (joins, window functions, stored procedures, aggregate functions) for large relational databases
  • Minimum two years of Python experience covering data manipulation/cleaning (e.g., pandas), statistical analysis/modeling (e.g., numpy, scipy, scikit-learn), and report automation
  • Proven ability to rapidly deploy LLM solutions to solve real-world problems within accelerated development cycles, paired with a strong foundational knowledge of Machine Learning concepts
  • Expert-level proficiency in tools like Tableau for designing interactive dashboards and reports, along with a strong understanding of visual design principles for user interpretation
  • Exceptional Analytical and Problem-Solving Skills with High Attention to Detail
  • Excellent Written and Verbal Communication Skills
  • Proven Ability to Manage Multiple Projects Simultaneously in a Fast-Paced Environment
  • Commitment to Writing Clean, Reusable Code and Maintaining Comprehensive Documentation

Responsibilities

  • Conducting deep-dive analysis and fundamental insight to drive business decisions & performance
  • Extract & present data to the relevant business domain (both technical & non-technical)
  • Identify and implement opportunities to leverage LLMs and AI-driven workflows to solve business problems and optimize operational efficiency
  • Analyze & present reports on multiple data sources
  • Work collaboratively with multiple business stakeholders
  • Proactively seek opportunities in data to accelerate business objectives
  • Build, maintain & automate business intelligence dashboards and self-serve capability
  • Help define the right metrics across different teams and build out tracking frameworks
  • Prioritize, delivering and reporting projects, trends & requests
  • Ensure data quality and integrity
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