Senior Data Analyst
Job Description
Your new company
Join our diverse team of 15,000 talented individuals committed to transforming critical minerals into prosperity and sustainable development in countries like Canada, Brazil, Indonesia, the United Kingdom, and Japan. We invite you to use your skills with us and contribute to something meaningful and enduring.
Your new role
The Manager, Data Analytics and AI -primary role is to consult with the company's business functions and stakeholders on data analytics and AI use cases, to collaboratively identify potential value, and propose scalable solutions, aligned with the key business strategic objectives. The role will leverage the latest technologies to design, develop, and sustain data analytics and AI solutions that deliver business value across the mining vale chain. This role is pivotal in enabling data-driven decisions, unlocking data insights and in solving complex problems.
What You'll Need to Succeed
- Bachelor's / master's degree in engineering, Computer Science, Data science and analytics, Data visualization, Machine learning, or AI, or in related field.
- Able to program in different languages such as python and R and have experience with statics and data cleaning libraries and methodologies, in addition to visualization such as Power BI or Tableau.
- Familiarity with popular technical libraries such as Pandas or others
- Statistical knowledge such as descriptive statistics, analysis of variance, regression analysis, hypothesis testing and confidence intervals.
- Understand Data cleaning methodology and how to fill in missing data using certain methodologies.
- Preferably sufficient and has technical terminologies in processing and refineries if possible and applicable.
- A few years of hands-on experience, with a preference of 5 years of experience in building data analytics-based products or machine learning models.
- Proficiency in developing, evaluating and selecting the best Data Analytics and AI solution or model and has a holistic knowledge about front-end and back-end integration to the model.
- Experience in applying optimization such as gradient descent, etc.
- Good communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
- Analytical and problem-solving skills, with the ability to derive insights and opportunities from data are required.
What You'll Get in Return
- Competitive rates
- Challenging and great work environment
- Employee engagement opportunities
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
How to Apply
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- Click the "Apply Now" button below.
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- Ensure your resume and cover letter are tailored to the job description using our AI tools.
Frequently Asked Questions
Who is hiring?▼
This role is with Hays in Toronto.
Is this a remote position?▼
This appears to be an on-site role in Toronto.
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What skills are needed?▼
Refer to the "Job Description" section above for a detailed list of required and preferred qualifications.