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Data Analyst

2 months ago


Edmonton, Alberta, Canada Vantix Systems Inc Full time
About the Role

Vantix Systems Inc is seeking a highly skilled Data Analyst to support our analytics initiatives and supplement our Data Management Program. As a key member of our team, you will play a critical role in driving business growth through data-driven insights.

Key Responsibilities
  • Business Requirements Analysis: Understand the business needs to devise a technical solution that aligns with our objectives.
  • Data Understanding: Understand the nuances of the data and its relationships to build reputable results.
  • Dashboard Development: Leverage technology to build full-function, easy-to-use dashboards and solutions.
  • Data Collection and Storage: Collect, transform, and store data required for business intelligence and analytics.
  • Database Pipeline Architecture: Build, test, and maintain database pipeline architectures.
  • Data Streamlining: Streamline data collection methods to create automated and easy-to-use routines.
  • Data Cleansing and Validation: Perform cleansing, processing, and validating the data to be analyzed to ensure its quality.
  • Data Exploration and Visualization: Explore and visualize data using Python and business intelligence tools.
  • Documentation: Document all data pipelines and transformations created.
  • Standards and Best Practices: Follow standards for data analysis at APS to promote maintainability and testability. Recommend improvements to practices where appropriate.
Requirements
  • Strong Proficiency in SQL: Very strong proficiency in SQL.
  • Scripting Languages: Strong proficiency in scripting languages (e.g. PowerShell, Python, R).
  • Problem-Solving and Analytical Skills: Strong problem-solving and analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Data Architecture and Best Practices: Strong proficiency with data architecture and best practices.
  • Data Cleaning and Preparation: Experience with data cleaning and preparation.
  • Business Intelligence Tools and Data Frameworks: Experience using business intelligence tools (e.g. Power BI, Incorta) and data frameworks (e.g. Hadoop/Spark).
  • Analytical Models and Data Structure: Understanding of analytical models and how to structure data for model usage.
  • Multi-Tasking and Adaptability: Strong multi-tasking skills, with an ability to adapt to and manage changing priorities.
  • Teamwork and Time Management: Ability to work within a team environment or independently as needed, and manage your time efficiently and work with little supervision.
  • Stress Management: Ability to manage stress in an environment with high expectations, tight deadlines, and changing priorities.
  • Business Intelligence, Analytics, and Visualizations: Understanding best practices, methods, and standards for business intelligence, analytics, and visualizations.
  • Agile Methodologies: Agile methodologies.
  • Team Foundation Server (TFS) - Code Management: Team Foundation Server (TFS) - Code Management.
Nice to Have Skills
  • SQL Server Experience (SSIS Integration Services): SQL Server Experience (SSIS Integration Services).
  • Python or R Experience: Experience in Python or R.
  • Survey Data Analysis: Experience analyzing and transforming survey data.
  • Feature Engineering: Experience doing feature engineering.
  • Statistical Knowledge: Statistical knowledge.