Akkodis Looking for Data Analyst at Toronto, Ontario, Canada Full Time

Akkodis is seeking a Data Analyst for a contract position with a client in Toronto, ON (Hybrid). Ideally looking for experience with Data analyst , Chatbot , Machine Learning , NLP , Google Dialogflow.

Position:- Data Analyst – 3

Location:- Toronto , ON

Job Type:- contract

Candidate Requirements/Must-Have skills:

1. 5-7+ years of data analysis and quality assurance experience

2. 1-2+ years of proven experience training a chatbot

3. Good understanding of machine learning and natural language processing (NLP)

4. Familiarity with agile methodologies

5. Familiarity with chatbot development platforms and tools (Google Dialogflow preferred)

Nice-To-Have Skills:

• Hands-on experience with Google Dialogflow

• Knowledge of conversational design techniques and best practices

• Coding skills in a relevant programming language (e.g., Python preferred)

• Experience with cloud computing platforms (e.g., AWS, Azure, GCP)

• Knowledge or previous training about process improvement methodologies like Lean Six Sigma, TQM, Reengineering, Value Stream Mapping

Soft Skills:

• Excellent communications skills to work well with various team members and stakeholders.

• Strong decision making, forward thinking and creative problem-solving skills

• Ability to work as part of a team, as well as work independently or with minimal direction.

Education:

• Post-secondary degree in business, engineering, data science, or linguistics, or a related field.

Candidate Value Proposition:

The successful candidate will have the opportunity to work within Scotiabank. We are technology partners who help the business transform how our employees around the world work. You will get to work with and learn from diverse industry leaders, who have hailed from top technology.

Typical Day in Role:

• Train and optimize the chatbot’s NLU model in collaboration with Data Scientists

• Monitor and evaluate model performance, making iterative adjustments to improve accuracy and handle complex conversations

• Conduct rigorous testing to ensure the chatbot meets performance expectations

• Analyze user queries and conversations to identify patterns, trends, and areas for improvement

• Use data analysis techniques and coding skills to automate the process of identifying common pain points, misunderstandings, and gaps in the chatbot’s knowledge base

• Collaborate with conversational designers to refine conversation flows, improve response accuracy, and enhance the overall customer experience

• Identify opportunities for process improvement in the chatbot development and maintenance lifecycle

• Provide feedback and guidance to non-technical stakeholders on aspects related to AI training, chatbot performance, process improvement, and data analysis