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Mississauga, ON
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UO
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Spait Infotech

Business Intelligence Analyst

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 29, 2026

Original job description

Key Responsibilities

Collect, clean, validate, and analyze data from multiple sources.
Develop interactive dashboards, reports, and visualizations using Power BI, Tableau, or similar tools.
Write SQL queries to extract, transform, and analyze data from databases.
Identify business trends, patterns, KPIs, and performance metrics.
Collaborate with business stakeholders to understand reporting requirements.
Translate business requirements into technical specifications and analytical reports.
Monitor key business metrics and provide actionable insights to management.
Perform data validation and ensure the accuracy and consistency of reports.
Automate recurring reports and improve reporting processes.
Maintain documentation for dashboards, data models, and reporting workflows.
Present analytical findings and recommendations to technical and non-technical stakeholders.

Preferred Skills

Knowledge of Python for data analysis using Pandas and NumPy.
Experience with data warehouses such as Snowflake, BigQuery, or Amazon Redshift.
Understanding of ETL/ELT processes and data pipelines.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge of DAX and Power Query for Power BI.
Understanding of business processes, data governance, and data quality.
Experience with forecasting and advanced analytics is an advantage.

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More about this job

Responsibilities

Collect, validate, and analyze data from multiple sources, then create dashboards, reports, and visualizations to monitor business performance. Work with stakeholders to translate reporting needs into technical specifications, automate reporting, and present actionable findings and recommendations.

Requirements

The posting emphasizes data analysis, SQL, dashboarding tools such as Power BI or Tableau, and the ability to communicate insights to technical and non-technical stakeholders. Preferred skills include Python with Pandas and NumPy, data warehouses, ETL/ELT, cloud platforms, DAX, Power Query, data governance, and advanced analytics; forecasting experience is an advantage.

Skills

Data Analysis
Data Cleaning
Data Validation
Dashboard Development
Power BI
Tableau
SQL
KPI Analysis
Stakeholder Collaboration
Reporting
Python
Pandas
NumPy
Data Warehousing
ETL/ELT
Data Visualization

Visa sponsorship

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Keywords

Data Analysis
Data Cleaning
Data Validation
Power BI
Tableau
SQL
Dashboards
Reports
Data Visualization
Business Trends
KPIs
Performance Metrics
Python
Pandas
NumPy
Snowflake
BigQuery
Amazon Redshift
ETL/ELT
Data Pipelines
AWS
Azure
Google Cloud
DAX
Power Query
Data Governance
Data Quality
Forecasting
Advanced Analytics
Data Models

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