Job Title

Toronto Role Descriptions: Key ResponsibilitiesCollect| process| and analyze data from various sources (e.g.| databases| spreadsheets| APIs).Develop and maintain dashboards and reports using tools like Power BI| Tableau| or Excel.Work with stakeholders to understand data requirements and deliver actionable insights.Monitor and evaluate the effectiveness of existing data processes and recommend improvements.Conduct root cause analysis and present findings to cross-functional teams.Maintain data integrity and quality across all systems and reports.QualificationsBachelors degree in Statistics| Mathematics| Computer Science| Economics| or a related field.4 years of experience in data analysis or similar role.Strong knowledge of SQL| Excel| and at least one data visualization tool (Power BI| Tableau| etc.).Familiarity with statistical techniques and data modeling.SkillsStrong problem-solving and critical-thinking abilities.Excellent written and verbal communication skills.Ability to present complex information in a clear and concise manner.Attention to detail and high level of accuracy. Essential Skills: 1. Hands on and atleast 3 years work experience working with Google Cloud Services like BigQuery| Dataflow| DataProc| Cloud Functions| Cloud Data Fusion| Cloud Composer etc.2. Responsible & accountable for doing requirement gathering and creation of high level and detailed technical design3. Developing data ingestion framework for different sources4. Strong migration experience of Hadoop cluster to Google Cloud5. Ability to suggest optimal architectural solution on GCP to customer 6. Strong knowledge in Sql| JavaPython7. Certified as Professional Data Engineer - GCP8. Good Communication skill9. Exposure to Hadoop ecosystem Desirable Skills: Prior working experience as Data Analyst or similar project. GCP knowledge and tools like Tableau / BI / Looker will be addition to this Role. Keyword: ~Data Analyst - GCP~ Skills: Digital : BigData and Hadoop Ecosystems~Digital : Google Data Engineering Experience Required: 8-10