Business Intelligence Analyst
- Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Roles and Responsibilities
- Gather and analyze business requirements from stakeholders.
- Collect, extract, and analyze data from multiple sources.
- Develop interactive dashboards and reports using Power BI or Tableau.
- Write SQL queries to extract, filter, join, and manipulate data.
- Create and maintain business performance reports.
- Monitor Key Performance Indicators (KPIs) and business metrics.
- Perform data validation and ensure data accuracy and consistency.
- Transform raw data into meaningful business insights.
- Develop data models and establish relationships between datasets.
- Use Power Query for data extraction, transformation, and loading.
- Create calculated columns and measures using DAX.
- Automate recurring reports and business reporting processes.
- Identify business trends, patterns, and performance gaps.
- Collaborate with business teams, developers, and data engineers.
- Present analytical findings and recommendations to management.
- Maintain and optimize existing dashboards and reports.
Technical Skills Required
- Power BI:
- Dashboard and report development.
- DAX functions and calculations.
- Power Query and data transformation.
- Data modeling and relationships.
- Row-Level Security (RLS).
- Power BI Service and workspace management.
- Scheduled data refresh.
- SQL:
- SELECT, WHERE, GROUP BY, ORDER BY.
- INNER JOIN, LEFT JOIN, RIGHT JOIN.
- Subqueries and Common Table Expressions (CTEs).
- Aggregate functions.
- CASE statements.
- Window functions.
- Views and stored procedures.
- Microsoft Excel:
- VLOOKUP and XLOOKUP.
- Pivot Tables and Pivot Charts.
- IF and conditional formulas.
- Data cleaning and formatting.
- Advanced Excel reporting.
- Data Warehousing:
- Basic knowledge of data warehouses.
- Fact and dimension tables.
- Star and Snowflake schemas.
- ETL and ELT concepts.
- Basic understanding of data pipelines.
- Python (Preferred):
- Pandas and NumPy.
- Data manipulation.
- Basic data analysis and visualization.
- Other BI Tools:
- Tableau.
- Microsoft Power BI Service.
- SSRS (SQL Server Reporting Services).
Business Intelligence Skills
- Understanding business requirements and translating them into technical solutions.
- Knowledge of business KPIs and performance metrics.
- Ability to analyze business trends and patterns.
- Experience in developing management reports.
- Understanding of data-driven decision-making.
- Ability to communicate business insights effectively.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Attention to detail and data accuracy.
- Stakeholder management skills.
- Critical thinking and logical reasoning.
- Time management and multitasking abilities.
- Ability to work independently and collaboratively.
Key Performance Indicators (KPIs)
- Accuracy and reliability of BI reports.
- Timely delivery of dashboards and reports.
- Dashboard performance and optimization.
- Reduction in manual reporting efforts.
- Data quality and consistency.
- Effectiveness of business insights.
- Stakeholder satisfaction.
- Accuracy of KPI tracking and monitoring.
Preferred Skills
- Experience with large datasets.
- Knowledge of cloud-based BI solutions such as Azure and AWS.
- Understanding of Microsoft SQL Server.
- Knowledge of ETL tools and data integration.
- Familiarity with ERP and CRM systems.
- Understanding of data governance and security.
- Knowledge of business process analysis.
Expected Deliverables
- Interactive Power BI dashboards.
- Business performance reports.
- KPI monitoring dashboards.
- SQL queries and data extraction reports.
- Automated reporting solutions.
- Data models and business datasets.
- Management and executive dashboards.
- Business insights and analytical recommendations.
More about this job
Responsibilities
Gather business requirements, analyze data from multiple sources, and develop data models, interactive dashboards, and reports using tools such as Power BI, SQL, and Excel. Monitor KPIs, validate data, automate reporting, and present business insights and recommendations to stakeholders and management.
Requirements
The role calls for skills in Power BI, DAX, Power Query, SQL, Excel, data modeling, and data warehousing, with Python listed as preferred. It also requires analytical problem-solving, attention to data accuracy, communication, presentation, and stakeholder collaboration; no education requirement is specified.
Skills
- Power BI
- DAX
- Power Query
- SQL
- Microsoft Excel
- Data Modeling
- Dashboard Development
- Data Analysis
- KPI Monitoring
- Data Validation
- Data Warehousing
- ETL
- Python
- Tableau
- Business Requirements Analysis
- Stakeholder Communication
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Power BI
- DAX
- Power Query
- SQL
- Microsoft Excel
- VLOOKUP
- XLOOKUP
- Pivot Tables
- Tableau
- SSRS
- Python
- Pandas
- NumPy
- Data Warehousing
- Fact And Dimension Tables
- Star Schema
- Snowflake Schema
- ETL
- ELT
- Data Pipelines
- Data Modeling
- Row-Level Security
- Power BI Service
- Scheduled Data Refresh
- Common Table Expressions
- Window Functions
- KPI Monitoring
- Data Validation
- Data Governance
- Azure