Analytics Engineer Jobs

Analytics Engineer

The TELUS Data Strategy & Enablement team is currently seeking a talented and motivated Analytics Engineer on a contract basis.

Responsibilities:

1. Collaborate with business partners and subject domain experts to understand and define the business problem, requirements, and desired outcomes.

2. Develop data-centric solutions that deliver tangible value to the business by leveraging your expertise in analytics technologies and methodologies.

3. Design and implement novel problem domain representations using technologies such as Neo4j, NLP, LLMs, and network models.

4. Identify and recommend appropriate analytical techniques and tools for each project.

5. Present insights and findings to stakeholders in a clear, concise, and actionable manner.

6. Ensure the quality, accuracy, and relevance of the delivered solutions by maintaining best practices in data engineering and analytics.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

2. Minimum 3 years of relevant work experience in analytics engineering or a similar role.

3. Proficiency in programming languages such as Python, R, or Java.

4. Demonstrable experience with data analytics tools and libraries (e.g., pandas, NumPy, TensorFlow, scikit-learn, etc.).

5. Strong knowledge of graph databases (e.g., Neo4j) and graph theory.

6. Familiarity with natural language processing (NLP) and large language models (LLMs) for analytics and recommendation purposes.

7. Understanding of network modeling and analysis.

8. Excellent problem-solving, analytical, and critical thinking skills.

9. Strong communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.

10. Ability to work independently and as part of a team in a fast-paced, dynamic environment.