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Analytics Associate Jobs in Ontario (NOW HIRING)

Marinabaysands

Leverage customer data and analytics to acquire, develop, and retain high-value customers more profitably and effectively. * Work with the sales team to optimize structure, communication, and ...

Marinabaysands

Product Analytics: * Analyze various aspects of the casino operations, including product and area performance, operational and manpower efficiency, dealer performance etc. * Apply advanced analytics ...

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Analytics Associate information

What can you do with an associate's in data analytics?

An analytics associate with an associate's degree can perform data collection, cleaning, and analysis using tools like Excel, SQL, and Tableau. They often support data-driven decision-making, generate reports, and assist in identifying trends for businesses or organizations.

How does an Analytics Associate typically collaborate with other departments within an organization?

Analytics Associates often work closely with teams such as marketing, finance, operations, and product management to understand their data needs and provide actionable insights. This collaboration involves regular meetings to discuss business goals, sharing analytical findings, and tailoring reports or dashboards to specific departmental objectives. Strong communication skills are key, as the role requires translating complex data analyses into clear recommendations for non-technical stakeholders. Building these cross-functional relationships not only enhances project outcomes but also provides valuable exposure to different areas of the business, supporting long-term career growth.

Can I be a data analyst with no experience?

While many data analyst roles prefer candidates with some experience, entry-level positions are available that focus on foundational skills such as Excel, SQL, and data visualization tools. Gaining relevant certifications or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

What is the difference between Analytics Associate vs Data Analyst?

AspectAnalytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Economics, or related field; often some certification in analytics toolsBachelor's degree in Statistics, Mathematics, or related; often similar certifications in data tools
Work EnvironmentCorporate settings, finance, marketing, or consulting firmsVarious industries including healthcare, finance, tech, and retail
Employer & Industry UsageCommon in finance, consulting, and corporate analytics teamsWidely used across industries for data-driven decision making

Analytics Associates and Data Analysts share similar educational backgrounds and work environments, often performing data collection, analysis, and reporting. The main difference lies in scope: Analytics Associates typically focus on supporting senior analysts and managers with specific projects, while Data Analysts may handle broader data interpretation and visualization tasks. Both roles are essential for organizations aiming to leverage data for strategic decisions.

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

To thrive as an Analytics Associate, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree in fields such as mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills enable Analytics Associates to transform complex data into actionable business recommendations, driving informed decision-making.

What does an analytics associate do?

An analytics associate collects, analyzes, and interprets data to help organizations make informed business decisions. They often use tools like Excel, SQL, or data visualization software and may prepare reports or dashboards to communicate insights to stakeholders.

Is 40 too late for data science?

For an Analytics Associate or similar data-related roles, starting a career at 40 is possible, especially with relevant skills like data analysis, programming, and familiarity with tools such as SQL or Python. Many professionals transition into data science later in their careers by gaining certifications or additional training, and age is generally not a barrier if the candidate demonstrates strong analytical skills and experience.
What are the most commonly searched types of Analytics jobs in Ontario? The most popular types of Analytics jobs in Ontario are:
What cities in Ontario are hiring for Analytics Associate jobs? Cities in Ontario with the most Analytics Associate job openings:
What are popular job titles related to Analytics Associate jobs in ON? For Analytics Associate jobs in ON, the most frequently searched job titles are:
Analytics Associate jobs near you
Infographic showing various Analytics Associate job openings in Ontario as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate

NextGenEnergyJobs

Toronto, ON • On-site

$55 - $75/hr

Other

Posted 2 days ago

New

Job description

(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate Requirements
  • Bachelor’s or Master’s degree candidates graduating December 2026/Summer 2027 with an academic focus in Cybersecurity, Computer Science and Engineering, Digital Forensics, Management Information Systems, Security Information Systems, or related field;
  • Strong understanding of computer operating systems, software, and hardware;
  • Ability to conduct detailed forensic investigations and analyses of computers, networks, mobile devices, and removable media;
  • Experience with conducting digital forensic analyses using commercial and open-source forensic tools, including file system forensics, memory analysis, and network analysis;
  • Experience with conducting static/dynamic malware analyses in a lab environment and threat hunting in a live environment;
  • Strong understanding of proper evidence handling procedures and chain-of-custody;
  • Experience with drafting technical and investigative reports and communicating technical findings;
  • High-level f amiliarity with legal concepts related to intellectual property;
  • Experience with utilizing automation tools and scripts to expedite analyses;
  • Understanding of incident handling procedures, including preparation, identification, containment, eradication, and recovery-to-protect enterprise environments;
  • Understanding of common attack techniques used by an adversary on a victim network and how to leverage those techniques to stop further adversary activity;
  • Individuals with digital forensics/incident response training and/or certifications, including SANS GIAC (GCIA, GCFA, GCFE, GNFA, GCCC, and/or GREM), IACIS (CFCE or CIFR), and/or Guidance Software (EnCE), are preferred but not required;
  • Effective written and oral communication skills;
  • Demonstrated high level of initiative and leadership;
  • Demonstrated attention to detail and commitment to producing accurate, high-quality work;
  • Strong teamwork and collaboration capabilities;
  • Excellent time management and task prioritization skills;
  • Clear and demonstrated interest in consulting through coursework, work experience, activities, or attendance at CRA recruiting events.
  • CRA’s robust skills development programs, including a commitment to offering 100 hours of training annually through formal and informal programs, encourage you to thrive as an individual and team member. Beginning with research and analysis skill building, training continues with technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities.
  • We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers.
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