Data Analyst

3 weeks ago

Greater Toronto Area, Canada Grand Software Solutions Full time

Data Analyst Toronto, ON (Hybrid) We are seeking a meticulous and skilled Data Analyst to join our dynamic team. The ideal candidate will be responsible for designing and developing scalable data pipelines, building and maintaining a centralized data warehouse, and ensuring the accuracy and integrity of both automated and manual data reports. Key Responsibilities: Validate and ensure the accuracy of automated and manual data reports. Architect and implement robust data warehouse solutions. Use pandas and other data analysis tools to clean and process data. Handle change requests for existing automated reports. Collaborate with the team to automate new reports based on client requirements. Develop and maintain dashboards for data visualization using tools like Tableau, Power BI, or similar. Create and manage data pipelines for automated streaming of data into clients’ data lakes. Ensure consistency and reliability of data sources for manual reports. Conduct regular data audits to maintain data integrity. Requirements: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. 5+ years of hands-on experience in data engineering or analytics roles. Proficiency in SQL, Python, and data modeling techniques. Hands-on experience with Databricks, Snowflake, or Microsoft Fabric (at least one is mandatory; familiarity with others is a plus). Strong understanding of data warehouse architecture and ETL/ELT processes. Experience working with APIs, cloud storage, and data lake architectures. Familiarity with orchestration tools such as Airflow, DBT, Azure Data Factory, or similar. Experience in building dashboards using Power BI, Tableau, or equivalent. Knowledge of data quality frameworks and data observability tools is a plus. Preferred Qualifications: Experience in a similar role within a fast-paced environment. Knowledge of additional programming languages (e.g., Python, R). Understanding of database management, data warehousing, and data lakes. Familiarity with reporting tools (e.g., Tableau, Power BI, Looker).

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