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Data Analyst Professional Jobs in Quebec (NOW HIRING)

Data Analyst Reports To: Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us ... A dedicated yearly budget for training and professional development. At Broadsign, we value the ...

Clean, transform, structure, and analyze large volumes of data from multiple systems (100,000+ SKUs ... Support for your professional development to advance your career * Discounts on our Kimpex products ...

... and analyze large volumes of data from multiple systems (100,000 SKUs) Act as a subject matter ... Social activities to connect with your colleagues Support for your professional development to ...

Clean, transform, structure, and analyze large volumes of data from multiple systems (100,000+ SKUs ... Support for your professional development to advance your career * Discounts on our Kimpex products ...

Hello talented professionals! We're currently looking to expand our pool of talent and invite ... We are looking for a senior Data Analyst that can be not only an employee of a great team but also ...

Analyst Customer Loyalty

Montreal, QC ยท On-site

CA$45K - CA$84K/yr

Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools. * Builds various reporting ...

New

Mission Are you passionate about data, analysis, and designing structured BI solutions, and do you ... Social activities to connect with your coworkers Support for your professional development to help ...

Mission Are you passionate about data, analysis, and designing structured BI solutions, and do you ... Support for your professional development to help you advance in your career * A healthy and safe ...

Mission Are you passionate about data, analysis, and designing structured BI solutions, and do you ... Support for your professional development to help you advance in your career * A healthy and safe ...

SAP Data Conversion Analyst

Montreal, QC ยท On-site

CA$56K - CA$106K/yr

An SAP Data Conversion Senior Analyst with strong hands-on experience supporting SAP S/4HANA data ... a leading global professional services company that helps the world's leading businesses ...

Analyze operational feedback and operating data from DIT and SONO systems. * Produce relevant ... Years of experience : 5 to 10 years of experience, depending on education and professional ...

Pension Analyst

Montreal, QC ยท On-site +1

CA$39K - CA$74K/yr

... data. We are also one of the largest pension plan administrators in Canada, serving over five ... Career opportunities geared toward your professional advancement * The flexibility to work in the ...

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Data Analyst Professional information

What is the difference between Data Analyst Professional vs Data Scientist?

AspectData Analyst ProfessionalData Scientist
Required CredentialsBachelor's in Statistics, Data Analysis, or related fields; certifications like Microsoft Excel, TableauBachelor's or Master's in Computer Science, Statistics, or related; certifications like Python, R, or machine learning courses
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, predictive modeling, advanced analytics, machine learning
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, research institutions, finance, healthcare

While both roles analyze data, Data Analyst Professionals focus on interpreting data for business insights using visualization tools, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Are data analysts still in high demand?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are highly valued, and the role often offers opportunities for career growth and certification. The demand is expected to continue as organizations prioritize data insights for strategic planning.

What are the most common challenges data analyst professionals face when working with cross-functional teams?

Data Analyst Professionals often collaborate with teams from marketing, product, engineering, and management, each with different data needs and levels of technical understanding. A common challenge is translating complex data findings into actionable insights that are accessible to non-technical stakeholders. Additionally, aligning data priorities, ensuring data integrity across sources, and managing multiple project deadlines can require strong communication and organizational skills. Building relationships and setting clear expectations early on can help overcome these challenges and ensure productive cross-team collaboration.

What is a data analyst professional?

Data Analyst Professionals are experts who collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and techniques to interpret data sets, identify trends, and generate actionable insights. Their work often involves cleaning data, designing reports or dashboards, and communicating findings to stakeholders. Data Analysts typically work across various industries, such as finance, marketing, healthcare, and technology. They play a crucial role in helping businesses optimize operations and achieve strategic goals.

What are the key skills and qualifications needed to thrive as a data analyst professional?

To thrive as a Data Analyst Professional, you need strong analytical skills, proficiency in statistics, and typically a degree in a quantitative field such as mathematics, computer science, or economics. Familiarity with data analysis tools and programming languages like SQL, Python, R, and visualization software such as Tableau or Power BI, along with certifications like Microsoft Certified: Data Analyst Associate, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These skills and qualities are crucial for transforming complex data into valuable business intelligence that drives informed decision-making.
What are the most commonly searched types of Data Analyst jobs in Quebec? The most popular types of Data Analyst jobs in Quebec are:

Data Analyst

Broadsign Careers

Montreal, QC โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


Job description

Data AnalystReports To: Data Science & Analytics Managerย Location: Montreal, QC (Hybrid)About Us

Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ever. Our software is operated by some of the most successful out-of-home businesses and powers impactful, compelling campaigns seen across the world.

About the Role

As a Data Analyst at Broadsign, you will join our Data Science & Analytics team to solve real-world problems and generate significant business impact. You will play a pivotal role in supporting our data-driven product portfolio, working closely with commercial and engineering teams to ensure our clients succeed in the rapidly growing Digital Out of Home (OOH) media channel.

What to Expect
  • Data Operations & Product Performance: You will support daily and monthly data operations while helping to build monitoring and QA processes. This includes learning the methodologies behind our data products and ensuring high performance through detailed reporting.
  • Commercial Support & Problem Solving: Working with commercial team members, you will diagnose and address client-facing data issues. You will be a key collaborator for engineers, data scientists, and business leaders to drive data-driven decision-making.
  • Innovation & Independent Analysis: You will take ownership of independent coding and analysis projects to explore new methodologies. We expect you to contribute creative ideas for new innovations that will help shape our future product roadmap.
What you need to perform in this job
  • Technical Proficiency: Strong experience with SQL and business intelligence tools like Looker or Tableau. You should be comfortable coding in Python and have experience with Snowflake and AWS platforms. Experience with software engineering best practices (CI/CD) and GIS data and systems is a plus, as is experience with web languages/standards.
  • Analytical Mindset: Formal training in data science, including statistical analysis, visualization, and machine learning. Strong problem-solving and critical-thinking skills are critical for this role, as you will be asked to tackle problems that have not been encountered before.
  • Soft Skills: A natural curiosity to learn how things work and quickly embrace new technologies and tools. You must be able to communicate clearly on technical matters and be able to work effectively within a team while taking independent ownership of your tasks.
What we bring to the table
  • Comprehensive Benefits: Complete company insurance plan (health, dental, vision, travel) effective from day one, 100% employer-paid. This includes a $500 annual Health Care Savings Account (HCSA) and unlimited access to the Telus Health virtual platform.
  • Wellness & Fitness: A $500 annual Wellness fund to support your mental/physical health and office-related expenses.
  • Paid Time Off: 3 weeks vacation, 5 floater days, 5 sick/personal days, and 2 volunteer days.
  • Retirement Savings: Group RRSP with 50% employer matching up to 4% of your salary.
  • Financial Perks: Transportation reimbursement for travel to a Broadsign office.
  • Family Support: Parental leave salary supplement, including a 23-week maternity top-up.
  • Growth Opportunities: A dedicated yearly budget for training and professional development.

At Broadsign, we value the varied social identities that make up our community. We recognize talent comes in different forms and encourage applications that reflect different backgrounds and experiences. Our promise is to be an inclusive employer and partner, open to learning, with thoughtful strategies and practices that amplify the different voices of our industry.

Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and partners in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French. Fluent English is required for this position in order to communicate with colleagues, clients and partners (or suppliers) located outside Quebec and to understand the technical and scientific documentation used in our industry.