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Data Analyst

  • Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Key Responsibilities

  • Collect, clean, validate, and analyze data from multiple sources.
  • Develop reports, dashboards, and data visualizations to communicate insights.
  • Write and optimize SQL queries to extract and transform data.
  • Analyze business and operational performance metrics.
  • Identify trends, patterns, and anomalies in datasets.
  • Translate business requirements into analytical solutions.
  • Work with stakeholders to understand reporting and data requirements.
  • Automate recurring reports and improve data-processing workflows.
  • Maintain data accuracy, consistency, and quality.
  • Present findings and actionable recommendations to management.

Required Skills

  • Strong knowledge of SQL.
  • Advanced Excel skills, including PivotTables, XLOOKUP/VLOOKUP, formulas, and data analysis.
  • Experience with Power BI, Tableau, or similar BI tools.
  • Understanding of data cleaning, transformation, and visualization.
  • Strong analytical and problem-solving skills.
  • Good communication and presentation skills.
  • Basic understanding of statistics and business metrics.

Preferred Skills

  • Python or R for data analysis.
  • Experience with databases and data warehouses.
  • Knowledge of ETL/data pipelines.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with Power Query and DAX.
More about this job

Responsibilities

Collect, clean, validate, and analyze data from multiple sources, and create reports, dashboards, and visualizations to communicate insights. Analyze performance metrics, identify trends and anomalies, automate reporting workflows, maintain data quality, and present actionable recommendations to management.

Requirements

Requires strong SQL skills, advanced Excel proficiency, experience with a BI tool such as Power BI or Tableau, and knowledge of data cleaning, transformation, and visualization. Also requires analytical, problem-solving, communication, and presentation skills, with a basic understanding of statistics and business metrics; Python or R, databases, data warehouses, ETL pipelines, cloud platforms, Power Query, and DAX are preferred.

Skills

  • SQL
  • Advanced Excel
  • Power BI
  • Tableau
  • Data Cleaning
  • Data Transformation
  • Data Visualization
  • Analytical Skills
  • Problem-Solving
  • Communication
  • Presentation Skills
  • Statistics
  • Python
  • R
  • ETL
  • Power Query

Visa sponsorship

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Categories

  • Data & Analytics
  • Technology
  • Software

Keywords

  • SQL
  • Excel
  • PivotTables
  • XLOOKUP
  • VLOOKUP
  • Power BI
  • Tableau
  • Python
  • R
  • Power Query
  • DAX
  • Data Analysis
  • Data Cleaning
  • Data Validation
  • Data Transformation
  • Data Visualization
  • Dashboards
  • Reporting
  • Business Metrics
  • Operational Performance
  • Data Quality
  • Statistics
  • Databases
  • Data Warehouses
  • ETL
  • Data Pipelines
  • AWS
  • Azure
  • GCP
  • Software Development

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