COOP Student - IT Data Analytics Analyst

De Havilland Aircraft of Canada Limited; Calgary; On-site; CAD 35,000 - 55,000; Full time

Job summary

Join a forward-thinking company as a COOP Student Data Analytics Analyst, where you'll dive into the world of data analytics. This role offers hands-on experience with data collection, analysis, and visualization, allowing you to contribute to real-world projects while collaborating with cross-functional teams. You'll develop essential skills in statistical analysis and business intelligence tools, making this an ideal opportunity for students eager to kickstart their careers in data analytics. Embrace the chance to work in a dynamic environment that values innovation and inclusivity, and gain insights that will shape your professional journey.

Qualifications

• Pursuing a degree in Data Science, Computer Science, Mathematics, or Statistics.
• Experience or coursework in SQL, Python, or R for data analysis.

Responsibilities

• Assist in analyzing data trends and creating reports.
• Develop dashboards and visual representations of data.

Skills

Data Analysis

Statistical Analysis

Problem-Solving

Communication Skills

Machine Learning Concepts

Education

Degree in Data Science

Degree in Computer Science

Degree in Mathematics

Degree in Statistics

Tools

Power BI

Tableau

Excel

SQL

Python

R

Azure

Google Data Studio

Job description

COOP Student - IT Data Analytics Analyst

Job Description

Posted Tuesday, February 18, 2025 at 7:00 AM | Expires Monday, March 10, 2025 at 6:59 AM

De Havilland Aircraft of Canada Limited (DHC) is a storied name in the aerospace industry, recognized worldwide for its pioneering contributions to aviation and its unwavering commitment to quality, innovation, and reliability. Headquartered in Calgary, AB, DHC currently has approximately 1,400 employees across British Columbia, Alberta and Ontario, as well as in markets and distribution hubs world-wide.

As a COOP Student Data Analytics Analyst, reporting to the Data & Integration Architect, you will assist in analyzing data trends, creating reports, and supporting data-driven decision-making processes. You will work with various data sources, contribute to data visualization efforts, and ensure data integrity. Working closely with cross-functional business teams, you will gain hands-on experience with data analytics tools, statistical analysis, and business intelligence techniques. This role is ideal for students pursuing a career in data analytics, offering exposure to real-world data challenges and solutions.

Essential Functions

• Data Collection & Analysis
  • Collect, clean, and preprocess data from various sources.
  • Conduct exploratory data analysis to identify patterns and trends.
  • Assist in generating business insights through data-driven methodologies.
• Develop dashboards and reports using tools such as Power BI, Tableau, or Excel.
• Create visual representations of data to support decision-making.
• Present findings to stakeholders in a clear and concise manner.
• Statistical & Predictive Analysis
  • Apply basic statistical methods to analyze datasets.
  • Support predictive modeling and forecasting initiatives.
  • Assist in identifying key performance indicators (KPIs) and measuring their effectiveness.
• Data Governance & Quality Assurance
  • Ensure data accuracy and integrity through validation and quality checks.
  • Assist in maintaining documentation on data processes and methodologies.
  • Support compliance with data privacy and security policies.
• Collaboration & Cross-Functional Support
  • Work with different teams to understand their data needs and provide analytical support.
  • Assist in automating data workflows and optimizing data pipelines.
  • Support ad-hoc data requests and business intelligence projects.

Minimum Requirements

• Working toward a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Experience or coursework in SQL, Python, or R for data analysis.
• Familiarity with data visualization tools such as Power BI or Tableau, or Google Data Studio.
• Basic understanding of machine learning concepts and statistical analysis.
• Knowledge of relational databases and data querying techniques.
• Strong analytical and problem-solving skills.
• Ability to communicate insights effectively to non-technical audiences.
• Understanding cloud-based data services (Azure, Microsoft Fabric) is a plus.

At De Havilland Canada, we aim to be inclusive and diverse and provide equal opportunity for employment. All qualified applicants, regardless of gender, age, race, religion, sexual orientation, and disability, are encouraged to apply. De Havilland will accommodate the needs of applicants with disabilities throughout all stages of the selection process. If you need accommodation during the recruitment process, please advise your Talent Acquisition representative.

Any offer of employment is conditional on the completion of positive and satisfactory background checks, which may include, proof that you are legally entitled to work in Canada, professional references, verification of employment history, verification of educational background and criminal background checks.