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Data Analyst Computer Science Jobs in Montreal, QC

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Bachelor's degree in a technical or quantitative field (e.g., Computer Science, Data Science ... Analytics (BI, executive reporting). * Leadership Experience: Minimum of 10 years in a people ...

We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a ... Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations ...

... computer science, software engineering, or an equivalent field. * Masters data modeling concepts (Data Vault, star schema, etc.). * Has strong experience with: BigQuery and cloud analytics ...

Make strategic recommendations based on data analysis to support decision-making processes.a * ross ... Degree in a relevant discipline (computer science, AI, mathematics, engineering, operations ...

Showing results 21-40

Data Analyst Computer Science information

What are the key skills and qualifications needed to thrive as a data analyst in computer science?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a data analyst in computer science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a data analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Full-time

Life, Retirement

Re-posted 11 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

118,700 - 145,100

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

12%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

Intact is looking for a Data Scientist to turn complex data into practical solutions (prediction, segmentation, optimization, automation) and to generate actionable insights.

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection, personalization, experimentation, etc.).

The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement), collaboration with business and engineering teams, and value-driven innovation, including generative AI and LLMs to speed up access to information, automate processes, and deliver responsible, measurable solutions in production.

What you'll do here:

  • Develop innovative solutions: Use machine learning and advanced statistical methods to identify trends and patterns in complex datasets.

  • Data transformation: Turn complex databases into actionable insights and recommendations that can guide business strategy.

  • Stay up to date: Keep abreast of the latest trends and methodologies in data science and integrate them into your work.

  • Tool and platform maintenance: Help maintain and improve our data mining tools and platforms to ensure their efficiency and reliability.

  • Actionable recommendations: Provide strategic recommendations based on data analysis to support decision-making processes.

  • Cross-functional collaboration: Work closely with other departments to promote the adoption of data-driven decision-making across the organization.

  • Quality assurance and mentoring: Validate the quality of analytical approaches and deliverables produced by the team to ensure high standards, while coaching less experienced members.

  • Technical leadership: Take on a technical leadership role, guiding the team on best practices in data science and identifying research and development opportunities.

What you bring to the table:

  • A master's degree in a relevant field (mathematics, science, engineering, operations research, economics, statistics, AI, computer science, or a related discipline), or an equivalent combination of education and experience.

  • At least 5 years of experience in data science, machine learning, and advanced statistics applied to solving business problems.

  • Machine learning expertise: Expert-level understanding of machine learning theories and methodologies.

  • Specialization: Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence.

  • Technical skills: Experience delivering to production across multiple platforms using the following commercial and open-source data mining frameworks and tools: R, Python, GitHub.

  • Team spirit: Strong enthusiasm for collaborative teamwork.

  • Problem-solving: Ability to tackle loosely defined problems with creative and innovative solutions.

  • Communication skills: Excellent written and verbal communication skills, with the ability to convey complex information to non-technical stakeholders.

  • Time management: Strong organizational and time-management skills to handle multiple projects and meet deadlines.

  • Bilingual (French and English): Need to interact on a regular basis with an English-speaking clientele and colleagues across the country.

  • No Canadian work experiencerequiredhowever must be eligible to work in Canada

#LI-Hybrid

Il s'agit d'un nouveau role au sein de notre equipe en pleine croissance | This role is a new member of our growing team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.