Job Title: Business Analyst - ITLocation: Toronto, ONDuration: 6+ Months Daily Responsibilities:- Support strategic initiatives and their objectives with data-driven insights; the responsibilities will specifically focus on:
- Collection and refinement of data requirements through consultation with product partners,
- Effective translation (and iteration) of the requirements with the data analyst,
- Close collaboration with data scientists throughout development of machine learning models,
- Interpretation and presentation of the results, and
- Advising on appropriate course of action (based on the results)
- Structure and present analyses to executives and other key stakeholders
- Develop analytical frameworks, roadmaps, and metrics for the team and broader organization
- Demonstrate the proven ability to detect data integrity issues, perform root cause analysis and communicate the issues to cross functional audiences
- Collaborate and develop relationships with cross functional business teams and liaise across various business units to define business requirements
Must have skills:- Undergraduate degree in Economics, Business, Statistics or a quantitative field of study
- Ability to create and present complex strategic concepts/analyses and approach problem solving with a data-driven, structured thinking process to offer holistic perspectives
- Strong communication and project management skills, to capture requirements and answer questions from data practitioners
- Strong knowledge of Microsoft office including superior excel skills and power point skills. Role will be within an information rich environment demanding the ability to absorb and synthesize vast amounts of data. Excellent PowerPoint skills and the ability to position information and key messaging are critical
- Strong analytical skills with the ability to interpret complex data; ability to distill complex statistical concepts into everyday language to influence business outcome
- Technical expertise regarding data modelling, data mining and segmentation techniques
Nice to have skills:- Experience in machine learning, predictive analytics, and statistical modeling
- Experience working in the Financial Services industry
- Experience in the Small Business and Commercial business
- Knowledge of SQL and python
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans. •
Last updated on Nov 10, 2023