Data Analyst – IT Support

Role Overview

• 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.

Tech Stack

• ERP
• Python
• SQL
• Tableau

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!