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Sr. Data Analyst - Tableau

Develop data dashboards, sources, and ETL processes to provide business insights and analyze mobile application performance. Collaborate across the organization to improve customer satisfaction using ML/AI technology and in-depth data evaluation.

  • On-site
  • Vancouver, BC
  • Posted Aug 17, 2026
  • Apply by Sep 16, 2026
  • 1 position

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Job summary

Sr. Data Analyst - Tableau 12 month contract opportunity, high potential to extend This is an on-site opportunity. Five times per week in the downtown Vancouver office. Keys to the role: Tableau dashboarding SQL Building data sources Understanding of user usage, user behavior, and generating insights from the data Assets: Python Mobile or Health project experience Responsibilities: Develop data dashboards, data sources and ETL for the related business insights and product analytics Analyze data in order to understand performance and behavior of mobile applications Help us innovate and develop new product insights by collaborating with the teams across organization to improve the customers satisfaction across the world Works on complex issues where analyzing customer situation or business data requires an in-depth evaluation of variables Exercises judgement in selecting methods, techniques and evaluation criteria to obtain results Generate data reports and business insights using the latest ML/AI technology Requirements: Advanced proficiency in SQL and intermediate Python Strong knowledge of Tableau or other data visualization tools Knowledge of data warehousing concepts and data modeling Experience with ETL tools and data pipelines (Airflow, Apache Spark or equivalent) Experience with AWS and GCP services Excellent communication and team working skills $65 - $75 per hour for an INC consultant If you're interested, please apply with resume If you are a strong fit, I will be in contact quickly to discuss additional details and next steps Best regards,

What you’ll do

Develop data dashboards, sources, and ETL processes to provide business insights and analyze mobile application performance. Collaborate across the organization to improve customer satisfaction using ML/AI technology and in-depth data evaluation.

Requirements

Requires advanced proficiency in SQL, intermediate Python, and strong experience with Tableau and data visualization tools. Candidates must have knowledge of data warehousing, ETL pipelines (Airflow/Spark), and cloud services like AWS and GCP.

Listed skills

  • Data visualizationPreferred
  • SQLPreferred
  • TableauPreferred
  • Amazon Web ServicesPreferred
  • Google CloudPreferred
  • PythonPreferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Tableau
  • SQL
  • Python
  • ETL
  • Data Modeling
  • Data Warehousing
  • Airflow
  • Apache Spark
  • AWS
  • GCP
  • Data Visualization
  • Product Analytics

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Consulting
  • Engineering

Additional details

Minimum experience
5+ years
Apply by
Sep 16, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available