- Collect, clean, validate, and analyze data from multiple sources.
- Develop and maintain reports, dashboards, and data visualizations.
- Write SQL queries to extract and transform data from databases.
- Analyze business and operational data to identify trends, patterns, and opportunities.
- Prepare regular and ad-hoc reports for management and stakeholders.
- Translate business requirements into meaningful data insights.
- Monitor key performance indicators (KPIs) and provide actionable recommendations.
- Ensure data accuracy, consistency, and integrity.
- Collaborate with business, product, finance, operations, and technology teams.
- Automate recurring reports and improve data-analysis processes.
- Present findings and insights clearly to both technical and non-technical stakeholders.
Required Skills
- Strong knowledge of SQL.
- Advanced proficiency in Microsoft Excel.
- Experience with Power BI, Tableau, or similar BI tools.
- Positive understanding of data cleaning, transformation, and analysis.
- Knowledge of statistics and analytical techniques.
- Strong problem-solving and critical-thinking skills.
- Good communication and presentation skills.
- Ability to work with large and complex datasets.
Preferred Skills
- Python or R for data analysis.
- Experience with databases such as MySQL, PostgreSQL, SQL Server, or Oracle.
- Knowledge of ETL/data pipelines.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Understanding of business intelligence and data-warehouse concepts.
📌 Data Analyst (Sherbrooke)
🏢 Spait Infotech
📍 Sherbrooke
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