Data Analysts

Primus WorkforceEdmonton, AB

About The Position

In this role, you will support the development, management, and analysis of data that drives operational efficiency and informed decision-making. You will work with a variety of data sources and tools to deliver insights, improve processes, and enhance data quality across the organization. This position offers the opportunity to collaborate with cross-functional teams, contribute to data-driven initiatives, and build expertise in analytics, reporting, and data systems.

Requirements

  • Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Engineering, or a related field (or currently in progress with relevant experience)
  • 3–5 years of experience in a data, IT, or analytical role (co-op or internship experience considered)
  • Basic to intermediate proficiency with: Microsoft Excel (formulas, data organization, pivot tables)
  • SQL (basic queries and data extraction)
  • Power BI or similar data visualization tools
  • Strong attention to detail and data accuracy
  • Analytical mindset with problem-solving abilities
  • Ability to manage multiple tasks and prioritize effectively
  • Strong written and verbal communication skills
  • Willingness to learn new tools, systems, and technologies
  • Team-oriented with a proactive attitude

Nice To Haves

  • Familiarity with databases, data structures, and reporting tools is an asset

Responsibilities

  • Extract, organize, and maintain data from internal systems and external sources
  • Clean, validate, and format datasets to ensure accuracy and consistency
  • Assist in analyzing large datasets to identify trends, patterns, and insights
  • Support the development of dashboards, reports, and visualizations
  • Use tools such as Excel, SQL, and Power BI to analyze and present data
  • Combine datasets and apply formulas or queries to generate meaningful outputs
  • Assist in automating recurring data processes and improving reporting efficiency
  • Monitor data for inconsistencies, errors, or missing information
  • Investigate and resolve data discrepancies or system issues
  • Ensure data integrity through routine checks and validation processes
  • Assist with managing user access to data systems and tools
  • Support data-related workflows, including basic ETL (Extract, Transform, Load) tasks
  • Participate in improving data processes and documentation
  • Work with internal teams to understand data needs and support reporting requirements
  • Assist in responding to data-related inquiries from users and stakeholders
  • Communicate findings in a clear and user-friendly manner for non-technical audiences
  • Support small technology or data-related projects and initiatives
  • Participate in team meetings, training sessions, and knowledge-sharing activities
  • Research new tools and methods to improve data analysis and workflows
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