Job Title: Data Analyst III
Location: Toronto, ON (Hybrid)
Estimated Duration: 9 Months
Description:
Data Scientist
We are hiring a Data Scientist with experience supporting sales workflows, ideally within the insurance industry, to contribute to data preparation, insight generation, and evaluation activities for our GenAI?powered sales enablement platform.
This role is well?suited for someone who blends strong analytical skills with an understanding of advisor or sales?team operations.
Candidates should also be comfortable owning moderate?scope analytics projects, translating data into business recommendations, and working across diverse data systems.
Our Client is a leading international financial services provider, helping people make decisions easier and lives better. Help shape the future you want to see — and discover that better can take you anywhere you want to go.
JOB DESCRIPTION
Responsibilities:
- Prepare, clean, and analyze datasets used for training, validating, and evaluating LLM?based or GenAI features.
- Collaborate with product, sales, and business stakeholders to understand advisor workflows, data requirements, and key performance metrics.
- Build dashboards and reporting assets to track adoption, performance, and business impact of sales?enablement tools.
- Support prompt evaluation, annotation, and quality?assurance tasks to ensure accuracy and reliability of AI?generated outputs.
- Contribute to the development of structured knowledge bases, taxonomies, and metadata to support RAG?based systems.
- Generate actionable insights to optimize sales processes and improve advisor and end?user experiences.
- Develop and implement analytics?enabled solutions that support business goals and process improvement; deliver complete projects of moderate complexity.
- Analyze datasets of significant complexity and connect data sources across multiple internal systems.
- Translate analytical findings into business language and recommend solutions to stakeholders and senior data scientists.
- Document data sources, contribute to structured processes, and support closed?loop tracking for continuous improvement.
- Engage subject?matter experts to understand business processes, and build internal networks for collaboration and knowledge?sharing.
- Provide guidance to more junior analysts or data scientists when needed, incorporating coaching and feedback into work.
Qualifications
- 3–5 years of experience working as a Data Analyst, Data Scientist, or in a related analytical role, ideally in a sales?support or sales?operations environment.
- Strong SQL and Python skills.
- Proficiency with BI tools such as Power BI, Tableau, or similar platforms.
- Background working with sales datasets; exposure to insurance industry workflows or advisor models is a strong plus.
- Ability to translate ambiguous business questions into structured analytical approaches.
- Curiosity about GenAI and eagerness to learn LLM?related workflows, evaluation techniques, and best practices.
- Bachelor’s degree in Statistics, Math, Computer Science, Engineering, or equivalent technical experience.
- Working knowledge of classical statistical methods (e.g., regression, clustering, PCA, decision trees, survival analysis) and familiarity with machine?learning techniques.
- Experience navigating large and diverse datasets using systematic, structured analytical methods.
- Comfort with data modeling concepts, relational databases, and basic AI/ML toolkits.
- Ability to communicate insights clearly to business partners and contribute to solution ideation within broader business strategy.
The pay range that the employer reasonably expects to pay for this position is between CA$55.00 and CA$65.00
Our voluntary benefits offering includes medical, dental, vision and retirement benefits.
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Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.
We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.
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