Data Analyst building AWS data platforms and pipelines for Sun Life, a financial services and insurance company. Delivering governed analytics, reporting, and insights across business functions.
About the role
- Data Analyst & IT Support role at Tayco, gathering data insights for operational performance metrics and providing IT support across the company.
Responsibilities
- Gather data from internal and external sources, ensuring accuracy and completeness.
- Clean, organize, and maintain datasets to ensure data integrity and consistency.
- Use database management tools to efficiently store, retrieve, and manage data.
- Analyze datasets using statistical methods to uncover trends, patterns, and actionable insights.
- Develop and maintain dashboards and visualizations using tools such as Excel, Tableau, Power BI, Python, or R to communicate findings effectively.
- Identify and address business challenges through data-driven solutions and recommendations.
- Create and deliver comprehensive reports summarizing key metrics, trends, and actionable insights.
- Present findings to stakeholders clearly and concisely, enabling informed decision-making.
- Monitor and analyze performance indicators, providing regular updates and insights.
- Collaborate with cross-functional teams to understand data needs and gather requirements.
- Translate business objectives into clear, actionable data requirements.
- Support data-driven decision-making across departments by providing reliable and timely analysis.
- Apply predictive modeling, trend analysis, and other statistical techniques to forecast and optimize outcomes.
- Identify opportunities for process optimization and automation through data insights.
- Responding in a timely manner to IT related issues and requests.
- Installing and configuring computer hardware (printers, scanners, tablets, etc.) and/or software (Office, ERP, Solidworks, etc.).
- Providing technical support and training across the company (in person or over the phone, teams).
- Creating accounts for new hires and deleting/disabling them upon departure to maintain security.
- Repairing and replacing equipment as necessary.
- Testing new technology.
Requirements
- Bachelor’s degree in computer science, Statistics, Mathematics, or related field.
- Experience in data analysis or a related field (or equivalent academic experience).
- Ability to work with large datasets and perform data cleaning and manipulation.
- Proficiency with data visualization tools (e.g., Tableau, Power BI).
- Experience with databases and querying languages (e.g., SQL).
- Knowledge of programming languages (e.g., Python, R).
- Proficiency with SmartSheet is an asset.
- Strong analytical thinking, attention to detail, and problem-solving skills.
- Experience with statistical analysis and modeling.
- Ability to work independently and in cross-functional teams.
- Excellent communication and presentation skills.
Benefits
- Flexible work arrangements (work from the office 1 day per week after Orientation)
- Active Social Committee with wonderful company culture
- Active Inclusion, Diversity, Engagement, and Accessibility Committee with monthly initiatives to promote inclusivity
- Opportunities for growth and development
- Great team to work with!
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