Business Intelligence Analyst
- Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
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.
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
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
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