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Senior Data Analyst

Alquemy Search & Consulting
Vancouver, CAN
Full Time
Senior
1 weeks ago
SQLPythonTableauData WarehousingData ModelingETL
Free

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Overview

  • We are seeking a Senior Data Analyst to drive data driven insights and support product analytics for large scale mobile applications and cloud based services.
  • This role will work cross functionally to analyze user behavior, improve product performance, and help shape strategic decisions through advanced analytics and visualization.

Key Responsibilities

  • Design and develop data dashboards, reports, and data pipelines to support business insights and product analytics.
  • Analyze large datasets to understand user behavior, product performance, and trends.
  • Collaborate with cross functional teams to identify opportunities to enhance customer experience and product innovation.
  • Translate complex data into actionable insights for stakeholders.
  • Work on complex analytical problems requiring in depth evaluation of multiple variables.
  • Apply appropriate analytical techniques and methodologies to deliver high quality results.
  • Leverage ML/AI tools to generate insights and improve reporting capabilities.

Required Qualifications

  • Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science, or related).
  • 5+ years of experience in data analysis, business intelligence, or related field (preferably within a product focused environment).
  • Advanced proficiency in SQL and working knowledge of Python.
  • Strong experience with data visualization tools (e.g., Tableau or similar).
  • Solid understanding of data warehousing concepts and data modeling.
  • Experience building and managing ETL processes and data pipelines (e.g., Airflow, Apache Spark, or similar).
  • Hands on experience with cloud platforms such as AWS or GCP.
  • Strong communication skills with the ability to work effectively across teams.

Nice to Have

  • Experience working with mobile or health related data.
  • Certifications in AWS, GCP, or data analytics.
  • Exposure to or experience with machine learning or AI technologies.

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