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Data Analytics Jobs in Hamilton, ON (NOW HIRING)

Key Responsibilities 1. Advanced Analytics & Solution Delivery * Translate Data into Value: Act as a trusted data advisor to internal squads, answering complex business questions regarding subscriber ...

Data Analyst (Transit)

Guelph, ON ยท Hybrid

CA$77K - CA$96K/yr

Considerable experience related to the duties above, normally acquired through a diploma or degree in Data Analytics, Computer Science, Information Systems, or a related field. An equivalent ...

Bachelor's degree in Data Analytics, Computer Science, or a related field. * 5+ years of experience as a data quality analyst or in a closely related data analytics role. * Proficiency in SQL and ...

Through quantitative analysis, collection and dissemination of data, we provide both academic and administrative departments in all aspects of planning, research, enrolment, and budget. Duties and ...

Data Analyst

Mississauga, ON

CA$75K - CA$90K/yr

You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal and external stakeholders; * Leverage your: knowledge of statistical/mathematical methods ...

Perform data analysis, visualization, and modelling with large datasets; * Independently interacting clients, explaining technical concepts to technical and non-technical stakeholders; * Perform data ...

Our Data Analytics team is the go-to destination for analytical, creative professionals passionate about developing their talents while solving some of TELUS' most significant challenges. What you'll ...

AI & Data Analyst

Mississauga, ON

CA$24.45 - CA$48.49/hr

WritingandoptimizingSQL queries to support data validation, reporting, and analytics use cases. * Monitoringdata quality and reliability ,identifyingdata issues, performing basic troubleshooting, and ...

Showing results 21-40

Data Analytics information

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Hamilton, ON? The most popular types of Data Analytics jobs in Hamilton, ON are:
What cities near Hamilton, ON are hiring for Data Analytics jobs? Cities near Hamilton, ON with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Hamilton, ON as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Analyst, BI & Data

Cogeco

Burlington, ON โ€ข Hybrid

Full-time

Posted 5 days ago


Job description

Our culture lifts you up-there is no ego in the way. Our common purpose? We all want to win for our customers. We aim to always be evolving, dynamic, and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market: agile and dedicated.

Time Type:RegularJob Description :Role Overview

As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the gap between complex telecom data and strategic execution. Embedded in an agile environment, you will work across our core domains (Executive Metrics & Revenue, Sales & Marketing, or Operations) to support our growing base of 1.5M+ customers across Canada and the US.

Your mandate goes beyond traditional reporting. You will not only empower internal stakeholders with robust dashboards and deep-dive analyses but also pioneer the next generation of self-service analytics by developing and integrating Agentic AI tools (e.g., AI data assistants, automated insight agents) into our data ecosystem.

Key Responsibilities1. Advanced Analytics & Solution Delivery
  • Translate Data into Value: Act as a trusted data advisor to internal squads, answering complex business questions regarding subscriber growth, churn, revenue assurance, and operational efficiency.
  • Modern Deliverables: Support internal customers by delivering outcomes through four primary channels:
  • Reports & Decks: High-impact, strategic deep-dives and executive summaries.
  • Interactive Tools: Traditional, robust dashboards that monitor health and performance.
  • Governed Self-Service Data: Design and provision certified, highly optimized, and well-documented datasets. This enables data-savvy power users across marketing and operations to safely build their own ad-hoc analyses without risking data integrity.
  • Agentic AI Solutions: Innovative AI-driven assistants or automated workflows that allow stakeholders to converse with data and fetch immediate insights.
  • Telecom Insights: Analyze heavy data workloads related to ARPU (Average Revenue Per User), CAC (Customer Acquisition Cost), LTV, network utilization, and cross-border market dynamics (Quebec/Ontario vs. US).
2. AI & Data Product Innovation
  • Agentic AI Integration: Design, test, and deploy AI agents and LLM-powered tools that interface with our data layer to automate routine queries and democratize data access.
  • Modern BI Modeling: Build and optimize scalable data models specifically structured to feed both visual dashboards (Tableau) and AI/LLM interfaces.
3. Technical Execution & Agile Collaboration
  • Cloud Data Warehousing: Write complex, highly optimized SQL queries in Google BigQuery to extract, transform, and analyze massive telecom datasets.
  • Data Visualization: Design and maintain intuitive, high-performance dashboards in Tableau.
  • Agile Methodology: Actively participate in cross-functional marketing or operational squads (sprints, stand-ups, grooming) under the guidance of BI Chapter Leads.
Qualifications & SkillsTechnical Toolkit
  • SQL Mastery: Advanced proficiency in Google BigQuery (or similar cloud data warehouses) handling massive data volumes.
  • Data Visualization: Strong portfolio of building actionable dashboards in Tableau.
  • AI & Automation (The Frontier): Familiarity with prompt engineering, LLM APIs, or framework development (e.g., LangChain, custom AI agents) to build data-querying bots. Python skills are a major asset.
  • Data Modeling: Solid understanding of star schemas, data warehousing concepts, and preparing data for consumption by both humans and AI models.
Experience & Soft Skills
  • Experience: 3-5+ years in a Data Analytics, Business Intelligence, or Data Product role. Experience in Telecom or subscription-based industries is highly preferred.
  • Agile Mindset: Proven experience working inside agile squads and managing a backlog of analytical requests.
  • Consultative Approach: Exceptional communication skills with the ability to translate technical data jargon into clear business recommendations for North American stakeholders.
  • Language: Bilingualism (English and French) is a strong asset due to our market presence in Quebec, Ontario and USA.
What We Offer
  • The opportunity to shape the future of AI-driven analytics in the telecom sector.
  • A collaborative, mature agile environment with clear mentorship from dedicated Chapter Leads.
  • A modern tech stack (BigQuery, Tableau, GenAI tools) with the scale of 1.5 million customers to analyze.

#LI-KN1

#LI-HybridLocation :Burlington, ONCompany :Cogeco Connexion Inc

At Cogeco, we know that different backgrounds, perspectives, and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine, innovate, and grow as a company. So, we are committed to doing everything in our power to create a more diverse and inclusive world of belonging.

By creating a culture where all our colleagues can bring their best selves to work, we're doing our part to build a more equitable workplace and world. From professional development to personal safety, Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well-being of our colleagues one of our highest priorities, for we know engaged and appreciated employees equate to a better overall experience for our customers.


If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com