Senior Data Analyst (18 month contract)

Definity; Montreal; Hybrid; CAD 69,000 - 127,000; Full time

Job summary

A leading insurance provider in Montreal is seeking a Senior Data Analyst to drive innovation through data product development. This role requires expertise in SQL and Python, along with a solid understanding of data analysis and visualization techniques. The successful candidate will work closely with business and technical teams in an agile environment, contributing to the design of new data products. Salary range is $69,000 - $127,000. This is an 18-month contract position.

Qualifications

• 3-5 years of hands-on experience with data discovery, prototyping, and development of analytics products.
• Experience in an Agile product development organization is a plus.
• Understanding of data science and machine learning principles.

Responsibilities

• Analyze and evaluate new data sources based on business requirements.
• Facilitate user story and requirement elaboration sessions.
• Support the product owner with the product backlog.
• Participate in agile sprint ceremonies and documentation of test case results.

Skills

SQL

Python

Data Visualization

Exploratory Data Analysis

Geospatial Analytics

Agile Methodologies

Education

University degree in Computer Science, Mathematics, Software Engineering

Tools

GCP

Scala

Java

C++

Job description

Definity is the parent company to some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our ambition is to be one of Canada’s leading and most innovative property and casualty insurers. We can’t do that without our people, so we embrace and encourage a culture that’s collaborative, ambitious, rewarding, and empowering.

We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It’s better here.

The Senior Data Analyst is an innovative and experienced analytics professional with hands-on expertise in all facets of data product development and a driving passion for turning business challenges and needs into game-changing data products.

Reporting to the Director, Data Leadership, the Senior Data Analyst will be an integral part of an innovative and dynamic team that translates business needs and opportunities into new data products for the business teams in Personal Insurance.

To thrive in this role, the Senior Data Analyst will need to have expert-level skills in exploratory data analysis and discovery using both SQL and Python, coupled with extensive experience with the ideation, design, and prototyping of scalable data products on cloud platforms. Experience with modern insurance processes, data visualization best practices, and geospatial analytics are also strong assets in this role. This is an 18 month contract role.

What you’ll do :

• Analyze and evaluate new data sources based on current and future business requirement. Actively contribute to the design of new and innovative data products.
• Facilitate and participate in user story and requirement elaboration sessions with business and technical stakeholders, identifying both upstream and downstream functional and non-functional requirements. Oversee the documentation and translation of business needs into compelling user stories with clear business requirements and technical specifications.
• Support the product owner(s) with the product backlog and help to represent the customer to the Agile team. Work closely with Product Owner(s), delivery teams and business partners to deliver new and innovative data products and capabilities to business stakeholders.
• Contribute to project management activities such as scoping, impact assessments and estimating project efforts, identifying risks and recommending mitigation measures, communicating activity status as well as escalating and communicating possible issues.
• Participate in agile sprint ceremonies, daily stand-ups, sprint planning, sprint refinements and retrospective sessions.
• Working with business and engineering team on planning, documentation, and review of test case results for data products.
• Working with business stakeholders to ensure completeness of data documentation, monitoring of data integrity, and data governance.
• Keeping current on data and analytics tools and best practices, and share experience and learnings with data consumers and colleagues.

What do you bring to the role?

• University degree in Computer Science, Mathematics, Software Engineering, or equivalent.
• Curious and creative mind with a passion for extracting new insights from data.
• Min 3-5 years of hand-on experience with data discovery, prototyping, and development of innovative data and analytics products.
• Min 3-5 years’ experience as Data Analyst or equivalent in an Agile product development organization.
• Expert level skills in SQL and Python on cloud platforms is essential to thrive in this role
• Firm grasp of descriptive statistics and Exploratory Data Analysis techniques.
• Solid understanding of data science and machine learning principles and techniques
• Scrum Master / Product Owner experience / certification is an asset.
• Familiarity with GCP, Scala, Java , or C++ is also an asset.

Salary Range : $69,000 - $127,000

IND1

Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market.

We also take potential into consideration. If you don’t have this exact experience, but you know you have what it takes, be sure to give us more insight through your application and cover letter.

Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting : .

Background checks

This role requires successful clearance of a background check (including criminal checks and leadership references).

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