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Data Associate Jobs in Quebec (NOW HIRING)

The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com. Job Summary The Product Data Manager is responsible for ensuring that product data ...

CA$75K/yr

Job Overview As an Associate for our Pharmacokinetics team at the Senneville location, you will be ... Perform data tabulation, conduct preliminary analyses, and generate summary results while ...

Academic Associate - Policy Centre for Media, Technology and Democracy (CMTD) | Max Bell School of ... What sets us apart is an end-to-end model - from large-scale data analysis to policy development to ...

Academic Associate - Policy Centre for Media, Technology and Democracy (CMTD) | Max Bell School of ... What sets us apart is an end-to-end model - from large-scale data analysis to policy development to ...

Investment Associate Location: Montreal, Full-Time In-Office Valnet is seeking a highly analytical ... Data analysis tasks: Using tools available (PubInights, GA, etc) to do a deep dive into certain ...

The Associate's primary responsibilities include: Enhance the clientselection, allocation, and ... Use data to tell a compelling story and create impactful visual displays of quantitative and ...

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Data Associate information

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

What are the key skills and qualifications needed to thrive as a Data Associate, and why are they important?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Quebec? The most popular types of Data jobs in Quebec are:
What are popular job titles related to Data Associate jobs in Quebec? For Data Associate jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Associate jobs in Quebec look for? The top searched job categories for Data Associate jobs in Quebec are:
What cities in Quebec are hiring for Data Associate jobs? Cities in Quebec with the most Data Associate job openings:
Data Architect (Big Data & Azure)

Data Architect (Big Data & Azure)

Onepoint

Montreal, QC

Full-time

PTO

Posted 3 days ago


Job description

Company Description

Wepoint is the architect of major transformations for businesses and public sector organizations.

We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). Our goal is to create new ways of working, new economic models, and smarter environments.

In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.

What We Are Looking For

COURAGE - AUTHENTICITY - OPENNESS - COMMITMENT - ELEGANCE

Do these words resonate with you? They are our company values.

At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve.

At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients - this is what we expect from our future colleagues.

Job description

We are looking for a Data Architect to join our teams and work on an international data modernization program. The successful candidate will play a central role in the design and development of the data architecture around Microsoft Fabric and Azure services, as well as in the technical consistency of several interconnected data scopes.

Responsibilities

  • Define and develop the target data architecture based on Microsoft Fabric, Azure, and modern best practices (lakehouse, analytical warehouses, real time, etc.);

  • Design architectures for data collection, transformation, storage, and exposure adapted to large volumes and multiple business domains with the goal of creating an "AI Ready" environment;

  • Ensure consistency and interoperability between the program's various data areas (modeling, standards, component reuse);

  • Oversee technological choices and implementation patterns for data engineering teams (partitioning, optimization, governance, performance);

  • Contribute to the definition of data quality, security, and governance standards (traceability, cataloging, compliance, RBAC, etc.);

  • Participate in the scoping, design, and architecture review phases, and provide support during key migration and delivery phases;

  • Collaborate with business and IT stakeholders to align functional requirements, technical constraints, and target trajectory;

  • Work in an agile environment (SAFe type) with several distributed teams and multi-country challenges.

Qualifications

Profile

  • Global vision and ability to structure a complex data landscape in a Microsoft Fabric & Azure environment, while remaining pragmatic;

  • Excellent communication, popularization, and negotiation skills with a variety of stakeholders (business, IT, security, architecture);

  • Technical leadership and a taste for collaborative work with multidisciplinary teams;

  • Comfortable in an international and multi-country context (Canada, United States, Europe, etc.);

  • Analytical mind, sense of prioritization, and results-oriented;

  • Excellent communication skills in French and English. English is required, as the position involves communicating with clients and colleagues located outside Quebec.

Technical skills

  • Solid experience in data architecture on cloud platforms, ideally Microsoft Azure (Azure Data Lake Storage, Azure

  • Synapse/SQL, integration services, analytics, etc.);

  • Very good knowledge of Microsoft Fabric and its main workloads (Data Warehouse, Lakehouse, Data Engineering, Data Factory, Power BI, Real-Time Analytics, OneLake);

  • Proficiency in lakehouse architectures and medallion patterns (bronze/silver/gold) on OneLake or similar architectures;

  • Hands-on experience modernizing or migrating existing analytical environments to Microsoft Fabric or a new unified data platform (migrations of pipelines, notebooks, warehouses, models);

  • Good command of SQL and at least one distributed processing or scripting language (Spark, PySpark, T-SQL, KQL, DAX as needed);

  • Good knowledge of DataOps/DevOps data practices (CI/CD, pipeline industrialization, automated testing, observability, monitoring);

  • Understanding of data governance, quality, and security issues in a unified analytics platform context (catalog, metadata, lineage, security, compliance);

  • Assets: Microsoft Fabric/Azure data certifications (Fabric Analytics/Data Engineer Associate, Azure Data Engineer, etc.).

Experience

  • Minimum 7 years of experience in the data field, including several years in an architect or technical data lead role;

  • Proven experience in large-scale cloud environments, preferably on Azure and, ideally, projects involving Microsoft Fabric;

  • Experience in a multi-team and multi-country context, with frequent interactions with various stakeholders.

Only candidates who are legally authorized to work for any employer in Canada will be considered.

Wepoint Benefits

  • Minimum of 3 weeks of vacation starting from the first year;

  • Comprehensive group insurance with a generous employer contribution;

  • Employer contribution to a group RRSP;

  • Full remote work flexibility: Hybrid, Remote, or On-site;

  • A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.;

  • Annual IT equipment budget;

  • A balanced work environment with flexible working hours;

  • Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.;

  • An international community of experts ready to share their knowledge;

  • A company culture focused on individuals' needs and their belonging to a strong community.

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