Business Data Analyst

Role Overview

The role combines business intelligence, analytics engineering, data modelling, reporting, and data platform development, with a strong focus on transforming raw operational data into trusted, analytics-ready datasets and business insights.

What You Will Do

Develop and maintain Power BI semantic models, datasets, dashboards, and reports for enterprise reporting and analytics. Partner with business stakeholders and data teams to understand reporting requirements and translate business questions into scalable data solutions.

Why It Might Be a Fit

The ideal candidate will have strong expertise in Power BI, SQL, Snowflake, and dbt, along with a solid understanding of modern data warehousing, semantic modelling, data quality, and governance.

Requirements

• 3+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a related discipline
• Strong hands-on expertise in Power BI, including semantic models, datasets, dashboards, and enterprise reporting
• Strong SQL development and data transformation skills
• Hands-on experience with Snowflake or a comparable cloud data warehouse
• Practical experience developing and maintaining dbt models, transformations, testing, and documentation
• Strong understanding of dimensional modelling, star schemas, data warehousing, and semantic layers
• Experience troubleshooting data-quality, reporting, data pipeline, and performance issues
• Familiarity with Git, Azure DevOps, source control, and modern development workflows
• Understanding of data governance, metadata, lineage, documentation, and enterprise reporting standards
• Experience with Azure-based data platforms is an advantage
• Familiarity with Python for data analysis, automation, or data engineering is preferred
• Experience supporting enterprise reporting environments with large user populations is a plus
• Knowledge of CI/CD practices for analytics and data development is advantageous
• Experience with construction, real estate, manufacturing, or operational analytics will be beneficial
• Strong analytical, problem-solving, and attention-to-detail skills
• Excellent written and verbal English communication skills
• Ability to collaborate effectively with technical teams and business stakeholders

Benefits

• Dental insurance
• Vision insurance
• Medical insurance
• Health insurance
• Paid time off
• Retirement plan
• Stock options
• Bonus/commission
• Paid holidays

Tagged as: Data Analysis