1

Associate Data Analyst Jobs in Kitchener, ON (NOW HIRING)

Analyzes data to identify and solve complex problems. The expected pay range for this position is ... We strive to build an environment where our associates are in the driver's seat of their ...

Analyzes data to identify and solve complex problems. The expected pay range for this position is ... We strive to build an environment where our associates are in the driver's seat of their ...

Engineering Associate

Hamilton, ON · On-site

$70K - $80K/hr

Perform structural design and analysis for substation foundations, steel structures, and existing ... Strong written and verbal skills with the ability to present technical structural data to non ...

Engineering Associate

Hamilton, ON · On-site

CA$70K - CA$80K/yr

Perform structural design and analysis for substation foundations, steel structures, and existing ... Strong written and verbal skills with the ability to present technical structural data to non ...

Join Us in Driving a Safer and Greener Tomorrow as a Product Development Associate at ArcelorMittal ... Data Collection & Analysis * Collect, analyze, and interpret test data under guidance of global R&D ...

Associate Quality Engineer

Burlington, ON · On-site

CA$70K - CA$75K/yr

We are looking for an Associate Engineer to join a dynamic team responsible for the resolution of ... Proven track record solving problems, troubleshooting, and analyzing data using statistical ...

Part-time The Data Collection Associate is responsible for collecting and transmitting data ... These tools analyze information you provide (for example, your resume or answers to application ...

Showing results 21-40

Associate Data Analyst information

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

What are the most commonly searched types of Data Analyst jobs in Kitchener, ON?

The most popular types of Data Analyst jobs in Kitchener, ON are:

What cities near Kitchener, ON are hiring for Associate Data Analyst jobs?

Cities near Kitchener, ON with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Kitchener, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Principal, Fraud Analytics

Burlington, ON

TransUnion
IT Services • 5 - 10K employees

Full-time

Re-posted 14 hours ago


Key responsibilities

  • Lead the strategic development and execution of advanced analytics and data-driven solutions to combat fraud across the client portfolio.

  • Oversee the development of fraud detection models, rules engines, and anomaly detection systems, ensuring they are explainable, scalable, and optimized.

  • Define and execute the vision for fraud analytics, lead cross-functional initiatives, and represent fraud analytics capabilities to clients, partners, and industry forums.


TransUnion rating

9.3

Company rating: 9.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

TransUnion's Job Applicant Privacy Notice

Team Overview

TransUnion, a global leader in risk and information solutions and one of Canada's major credit bureaus, is seeking a visionary and strategic Principal, Fraud Data & Analytics to lead the evolution of our fraud analytics capabilities. This role is responsible for shaping and executing the fraud data strategy, driving innovation in fraud detection and prevention, and positioning TransUnion as a market leader in fraud intelligence. You will support a high-performing team, influence enterprise-wide decision-making, and represent TransUnion's fraud analytics capabilities to clients, partners, and the broader industry. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

As the Principal, Fraud Data & Analytics, you will lead the strategic development and execution of advanced analytics and data-driven solutions to combat fraud across our client portfolio. You will play a pivotal role in shaping our fraud detection capabilities, driving innovation, and delivering measurable value to our partners. Your responsibilities will include:

Strategic Leadership: Define and execute the vision for fraud analytics, aligning with business goals and client needs. Lead cross-functional initiatives to enhance fraud detection, prevention, and mitigation strategies.

Innovation & R&D: Lead the development of advanced fraud detection models using AI/ML, behavioral analytics, and real-time data. Drive research into emerging fraud patterns and new analytical techniques.

Client-Facing Expertise: Serve as a trusted advisor to clients, translating complex fraud trends and data insights into actionable recommendations. Support pre-sales and post-sales engagements with analytical thought leadership.

Data Science & Modeling: Oversee the development of machine learning models, rules engines, and anomaly detection systems to identify and prevent fraudulent activity. Ensure models are explainable, scalable, and continuously optimized.

Product & Platform Collaboration: Partner with product, technology, and data science to embed analytics into our fraud solutions. Influence product roadmaps with data-driven insights and emerging fraud trends.

Performance Monitoring: Establish KPIs and dashboards to monitor fraud trends, model performance, and operational effectiveness. Lead root cause analyses and drive continuous improvement.

Industry Thought Leadership: Stay ahead of evolving fraud tactics, regulatory changes, and technology advancements. Represent the company at industry events, panels, and client forums.

Financial Stewardship: Manage budgets related to fraud analytics tools, data partnerships, and vendor relationships. Provide ROI analysis and business cases for strategic investments.

You will be instrumental in shaping the future of fraud prevention at TransUnion. You will drive innovation, elevate our market presence, and ensure our solutions remain at the forefront of the industry. Your leadership will directly influence product development, client success, and the protection of consumers and businesses across Canada and beyond.


Required Knowledge And Experiences

  • 10+ years of experience in Fraud analytics, data science, and/or financial crime risk, with at least 5 years in a leadership role.
  • 5 + Years of experience in Credit Risk, Collection and/or account management
  • Proven track record of delivering enterprise-scale fraud detection solutions and measurable business impact.
  • Deep expertise in fraud typologies (e.g., 1st, 2nd, 3rd party fraud, identity theft, money laundering), data science, and machine learning.
  • Strong technical proficiency in tools such as Python, R, SQL, and cloud-based data platforms.
  • Exceptional communication and stakeholder management skills, with the ability to influence at all levels, including executive leadership and external clients.
  • Experience presenting at industry conferences or contributing to thought leadership in fraud analytics or financial crime.
  • Advanced degree in a quantitative field such as statistics, mathematics, computer science, or engineering is preferred.

This job posting is for an existing vacancy. The opening is the result of a newly created position.

Accommodation is available, including for applicants with disabilities, in accordance with applicable laws.


TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver's seat of their professional development- while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that's why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good - you'll work with great people, pioneering products and cutting-edge technology.


TransUnion's Internal Job Title:

Principal, Product Management

What TransUnion employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom