I work as a senior data analyst so selected code 21223 - Database analyst and admin and got ITA now. I confirmed with a consultant and also checked with chatgpt and gemini as a strong match. But Claude points out another NOC 21221 as a match. Now I am confused, can someone help with this situation (any data analyst here?)
Below are my duties:
Responsible for evaluating assets eligible for Tech Refresh by leveraging Python programming and SQL database skills to track asset data, optimize refresh cycles, and predict future needs based on historical trends.
• Designing and optimizing Power BI dashboards and data visualizations that harness sales and marketing data. The dashboards support the sales planning team in setting future sales targets, forecasting buyer engagement across various regions.
• Collaborating with cross functional teams to transform Excel reports into interactive Power BI dashboards, streamlining data analysis and significantly improving team performance and ease of use.
• Accountable for cleaning complex datasets, sizing assets and loading them into backend databases using SQL to ensure accurate and efficient data management process.
• Implementing ad-hoc data analysis and presenting the insights with the leadership team to guide sales decisions and sales performance thereby driving business growth.
Below are my duties:
Responsible for evaluating assets eligible for Tech Refresh by leveraging Python programming and SQL database skills to track asset data, optimize refresh cycles, and predict future needs based on historical trends.
• Designing and optimizing Power BI dashboards and data visualizations that harness sales and marketing data. The dashboards support the sales planning team in setting future sales targets, forecasting buyer engagement across various regions.
• Collaborating with cross functional teams to transform Excel reports into interactive Power BI dashboards, streamlining data analysis and significantly improving team performance and ease of use.
• Accountable for cleaning complex datasets, sizing assets and loading them into backend databases using SQL to ensure accurate and efficient data management process.
• Implementing ad-hoc data analysis and presenting the insights with the leadership team to guide sales decisions and sales performance thereby driving business growth.
