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Business Intelligence Analyst
Spait Infotech
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- Full-time
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Spait Infotech

Data Analyst

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 20, 2026

Original job description

Key Responsibilities

Collect, clean, validate, and analyze structured data from multiple sources.
Write SQL queries to extract, manipulate, and analyze data from databases.
Develop and maintain dashboards, reports, and visualizations using Power BI or Tableau.
Perform data validation, identify inconsistencies, and ensure data accuracy.
Analyze trends, patterns, and key performance indicators (KPIs) to support business objectives.
Prepare periodic, ad hoc, and management reports.
Use Excel functions, PivotTables, lookups, and other analytical tools for data analysis.
Collaborate with business stakeholders to understand reporting requirements and translate them into analytical solutions.
Identify opportunities for process improvement through data analysis.
Document data definitions, reporting processes, and analytical findings.
Present insights and recommendations to technical and non-technical stakeholders.
Support data-driven decision-making through accurate and timely reporting.

Required Skills and Qualifications

Strong proficiency in SQL, including joins, subqueries, aggregations, and CTEs.
Advanced Microsoft Excel skills, including PivotTables, lookup functions, and data cleansing.
Hands-on experience with Power BI or Tableau for dashboard development and data visualization.
Strong understanding of data cleaning, data validation, and exploratory data analysis.
Knowledge of KPIs, business metrics, trend analysis, and statistical concepts.
Ability to interpret complex data and communicate actionable insights.
Excellent analytical thinking, attention to detail, and problem-solving skills.
Good communication and stakeholder management skills.

Preferred Skills

Knowledge of Python for data analysis using Pandas and NumPy.
Familiarity with statistical analysis and hypothesis testing.
Experience with data warehousing, ETL processes, and data integration.
Exposure to cloud data platforms such as Azure, AWS, or Google Cloud.
Knowledge of automation and reporting optimization.

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More about this job

Responsibilities

Collect, clean, validate, and analyze data from multiple sources, using SQL, Excel, and visualization tools to create dashboards and reports. Identify trends and process improvements, document analytical work, and communicate actionable insights to stakeholders to support business decisions.

Requirements

Requires strong SQL and advanced Excel skills, experience with Power BI or Tableau, and knowledge of data cleaning, validation, exploratory analysis, KPIs, and business metrics. Candidates should be analytical, detail-oriented communicators; Python, statistical testing, data warehousing, ETL, cloud platforms, and reporting automation are preferred.

Skills

SQL
Microsoft Excel
Power BI
Tableau
Data Cleaning
Data Validation
Exploratory Data Analysis
KPI Analysis
Trend Analysis
Data Visualization
Dashboard Development
Python
Pandas
NumPy
Statistical Analysis
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

SQL
Microsoft Excel
Power BI
Tableau
Python
Pandas
NumPy
Data Cleaning
Data Validation
Exploratory Data Analysis
Dashboards
Data Visualization
KPIs
Business Metrics
Trend Analysis
Statistical Analysis
Hypothesis Testing
Data Warehousing
ETL
Data Integration
Azure
AWS
Google Cloud
Reporting Automation
Stakeholder Management

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