ISI Group of Companies Hiring for Data Analyst at Toronto, ON Full Time

Description:
As a Data Analyst, you will work both collaboratively and individually to drive insights and make data accessible to internal partners. Data driven decision making is central to ISI’s strategic and tactical operations, as such, the analysis and study of data is an integral competency.

Responsibilities:
Identify trends reaching meaningful conclusions that will advise strategic business decisions through the manipulation of large data sets

Work closely and communicate effectively with Partners to understand requirements and formulate analytics solutions

Design and implement analytics models and visualizations to provide impactful data insights

Develop and maintain scalable data transformation code

Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing conclusions about the applicability to our solution landscape

Assist partners with data-related functional and technical issues

Make use of statistical tools to interpret data sets, paying attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts

Create appropriate documentation that allows others to understand the steps of the data analysis process and duplicate or replicate the analysis

Must have:
University degree in Mathematics, Economics or related discipline

At least 5 years demonstrated ability working with large-scale software systems

Passionate about data and problem solving

Proficiency in SQL with the ability to query and analyze data and understand data complexity, models and structures

Solid experience working with large data sets on enterprise data platforms and performing tasks such as managing data transformations and machine learning models

Good experience in Reporting and Visualization tools such as PowerBI, Tableau, Domo

Solid understanding of Database Design and Data Warehousing concepts

Demonstrated analytical skills, including mining, evaluation, analysis, and visualization

Effective verbal and written communication skills

Established interpersonal skills for work internally across departments, as well as with clients.

Ability to work in a highly collaborative environment as well as independently with minimum supervision

Nice to have:
Working knowledge of Python and/or R

Grasp of Machine learning concepts and techniques

Knowledge of insurance / reinsurance

What we offer:
Paid vacation time and personal days

Health and dental benefits, as well as an Employee Assistance Program (EAP)

Opportunity to work with engaged and professional team and colleagues

Ongoing professional development & training

Opportunities to participate in fun organization activities, such as our Holiday and Summer parties

Financial incentives and time off for actuarial exams

Who we are:
With operations in Canada and US, Insurance Supermarket Group of Companies, including Specialty Life Insurance. is one of the largest and fastest growing independently owned Insurance Technology companies in Canada. We offer comprehensive Life Insurance products that help many Canadians with their life insurance needs. Over 250,000 Canadians a year have relied on our advice, and we have provided more than 10 billion dollars in insurance coverage.

Our team of professionals has been proudly helping Canadian consumers with their life insurance needs for over 11 years. Our employees are professional, proactive, passionate, team players and persevere in the face of challenges.

We hire individuals based not only on their expertise, but also on their passion for helping others, and those who live by our core values every day. Our position will appeal to individuals who want to work for an exciting and growing organization and are mature and self-motivated – we look forward to meeting you!

Specialty Life is also committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). Please let us know if you require accommodation at any stage of the recruitment process.