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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.

HOW YOU'LL SPEND YOUR TIME

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  • Pull, clean and analyse data from multiple sources using SQL
  • Build and maintain dashboards and reports in [Power BI / Tableau / Looker]
  • Track KPIs, spot trends and flag anomalies or data quality issues early
  • Run ad hoc analyses and A/B test evaluations for business teams
  • Turn findings into clear recommendations and present them to stakeholders
  • Document metric definitions, data sources and reporting logic
  • Partner with data engineers to improve data models and pipelines
  • Follow data privacy and governance practices (e.g. CCPA, HIPAA where relevant)

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YOU BRING / WE BRING

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YOU BRING

  • 0 to 5 years in data analysis, business intelligence, reporting or a related role (strong projects, internships and career changers are welcome)
  • Solid SQL skills (joins, CTEs, window functions)
  • Experience with a BI tool such as Power BI, Tableau or Looker
  • Strong Excel or Google Sheets skills
  • Working knowledge of statistics (distributions, correlation, significance testing)
  • Clear communication and data storytelling
  • Authorization to work in the US

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TOOLS YOU'LL MEET

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SQL | [Power BI / Tableau / Looker] | Excel | [Snowflake / BigQuery / Redshift / Databricks] | [Python or R] | [dbt] | Git

Nice to have, not required: Python or R, cloud data warehouse experience, dbt, A/B testing experience, a degree in Data Science, Statistics, Maths, Business, Economics or IT (or equivalent experience), and experience in [Financial or banking sector].

More about this job

Responsibilities

Pull, clean, and analyze data from multiple sources; build and maintain dashboards and reports; monitor KPIs, trends, anomalies, and data quality; and conduct ad hoc analyses and A/B test evaluations. Communicate findings and recommendations to stakeholders, document metrics and reporting logic, collaborate with data engineers on models and pipelines, and follow data privacy and governance practices.

Requirements

The role seeks 0–5 years of experience in data analysis, business intelligence, reporting, or a related field, with strong SQL, BI-tool, spreadsheet, and statistical skills. Candidates should communicate clearly, tell stories with data, and be authorized to work in the United States; Python or R, cloud data warehouse, dbt, A/B testing, relevant education, and financial-sector experience are nice to have.

Skills

  • SQL
  • Data Cleaning
  • Data Analysis
  • Power BI
  • Tableau
  • Looker
  • Dashboard Development
  • KPI Tracking
  • Statistical Analysis
  • A/B Testing
  • Excel
  • Data Storytelling
  • Data Governance
  • Data Privacy
  • Data Modeling
  • Data Pipelines

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology

Keywords

  • SQL
  • Power BI
  • Tableau
  • Looker
  • Excel
  • Google Sheets
  • Snowflake
  • BigQuery
  • Redshift
  • Databricks
  • Python
  • R
  • dbt
  • Git
  • Data Analysis
  • Business Intelligence
  • Reporting
  • Dashboards
  • KPIs
  • A/B Testing
  • Statistics
  • Data Quality
  • Data Modeling
  • Data Pipelines
  • Data Privacy
  • Data Governance
  • CCPA
  • HIPAA
  • Cloud Data Warehousing
  • Financial Sector

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