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Compensation Data Analytics Jobs in Toronto, ON (NOW HIRING)

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

  • Medical

  • Retirement

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data ... The estimated compensation for this position is $75,000 to $100,000. This is an estimate and a ...

Senior Compensation Analyst

Toronto, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

Stay ahead of emerging AI and data analytics trends and actively apply them to modernize compensation processes, reduce manual lift, and sharpen accuracy. * Stay current on compensation-related laws ...

Senior Compensation Analyst

Toronto, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

Stay ahead of emerging AI and data analytics trends and actively apply them to modernize compensation processes, reduce manual lift, and sharpen accuracy. * Stay current on compensation-related laws ...

Master's degree preferred Supply Chain, Data Analytics, MBA or equivalent * Two (2) years or more ... Compensation Information : Thecompensationofferedto a candidate may be influenced by a variety of ...

Data Science and Analytics Experts Type: Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling ...

New

Sr. Data Specialist

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

This person will work cross-functionally with other technology teams, data scientists/analysts, BI ... In addition to base pay, other compensation, such as an annual bonus or long-term incentive ...

Sr. Data Specialist

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

This person will work cross-functionally with other technology teams, data scientists/analysts, BI ... In addition to base pay, other compensation, such as an annual bonus or long-term incentive ...

Senior Data Analyst

Toronto, ON · Hybrid

CA$69K - CA$129K/yr

  • Medical

  • Life

  • Retirement

Data Analytics & Reporting Hybrid Work Model: This role operates in a hybrid work environment, with ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

New

Maintain salary structures, compensation data integrity, and system updates in partnership with HRI ... Strong analytical capability, including advanced Excel skills and compensation modeling.

Maintain salary structures, compensation data integrity, and system updates in partnership with HRI ... Strong analytical capability, including advanced Excel skills and compensation modeling.

Senior Data Analyst

Guelph, ON

CA$80K - CA$95K/yr

  • Medical

  • Dental

... data analytics, critical thinking skills, and the ability to transform data into actionable ... This position offers a competitive compensation range. The salary range is $80,000.00 to $95,000.00 ...

Warranty Data Analyst

Ajax, ON

  • Medical

  • Dental

  • Vision

  • Retirement

Competitive compensation and comprehensive benefits * Opportunities for growth and development * A ... analytics. * Maintain data integrity across warranty systems and related databases. * Support ...

Senior Analyst, Total Rewards

Toronto, ON · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Join Fairstone Bank as a Senior Analyst, Total Rewards, and be part of our talented and growing ... Review a wide range of relevant compensation data to ensure the company's remuneration policies are ...

Showing results 21-40

Compensation Data Analytics information

What is compensation data analytics?

Compensation data analytics is the process of collecting, analyzing, and interpreting data related to employee compensation, such as salaries, bonuses, and benefits. This field helps organizations make informed decisions about pay structures, ensure competitive and equitable compensation, and comply with legal requirements. By leveraging data analytics, companies can identify trends, address pay disparities, and optimize their compensation strategies to attract and retain top talent.

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

To thrive as a Compensation Data Analytics professional, you need strong analytical skills, a solid understanding of compensation structures, and a degree in fields like HR, finance, or statistics. Familiarity with HR information systems (HRIS), data visualization tools like Tableau or Power BI, and proficiency in Excel or statistical software such as R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills ensure accurate, data-driven compensation strategies that support organizational goals and fair employee practices.

What is the difference between Compensation Data Analytics vs Compensation Analyst?

AspectCompensation Data AnalyticsCompensation Analyst
CredentialsDegree in HR, Business, or Data Analytics; often certifications in data analysisDegree in HR, Business, or related field; HR certifications common
Work EnvironmentData-focused, analytical tasks, often in HR or compensation departmentsHR teams, compensation planning, employee benefits
Industry UsageUsed across industries for data-driven compensation strategiesPrimarily in HR and compensation departments within various industries
Search & Comparison IntentFocus on data analysis skills and tools for compensation dataFocus on salary structures, benefits, and employee compensation policies

Compensation Data Analytics involves analyzing large datasets to inform compensation strategies, requiring strong data skills. Compensation Analysts focus on designing and managing salary structures and benefits. Both roles collaborate but differ mainly in their focus—data analysis versus policy implementation.

Is data analytics a high paying job?

Data analytics roles, including Compensation Data Analytics, are generally considered well-paying careers, especially for those with strong skills in statistical analysis, data visualization, and tools like Excel or SQL. Salaries tend to increase with experience, certifications, and advanced skills such as machine learning or programming languages like Python. Overall, data analytics is regarded as a lucrative field within the broader data and technology sectors.

How does a Compensation Data Analytics professional typically collaborate with HR and business leaders to inform pay decisions?

Compensation Data Analytics professionals work closely with HR teams and business leaders by providing data-driven insights that guide salary structures, incentive plans, and pay equity initiatives. They interpret data from salary surveys, internal pay records, and market trends, translating complex analyses into actionable recommendations. Regular meetings and presentations are common, ensuring that stakeholders understand compensation trends and can make informed decisions that support organizational goals. Effective communication and collaboration are key, as these professionals often bridge the gap between technical analytics and strategic HR planning.

What job categories do people searching Compensation Data Analytics jobs in Toronto, ON look for?

The top searched job categories for Compensation Data Analytics jobs in Toronto, ON are:

Infographic showing various Compensation Data Analytics job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analyst

Konrad

Toronto, ON • Hybrid

CA$75K - CA$100K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago


Job description

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

This role sits on our Digital team, where your internal title will be Specialist, Digital, working primarily in a data analytics capacity across client engagements.

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data professional with a strong foundation in analysis and a desire to grow both your technical and consulting skill set. Leveraging your analytics background, you will support the delivery of digital products for our clients through analytics and reporting solutions that help organizations better understand their data and make informed decisions.

In addition to your analytics work, you will gain exposure to broader areas of digital consulting, including digital product development, digital transformation, and user experience (UX/CX). You are interested in understanding how data supports product decisions, customer experiences, and overall business strategy.

You will work closely with senior analysts, data scientists, engineers, product managers, designers, and business stakeholders across a variety of client engagements. With guidance and mentorship, you will contribute to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation, while also building broader consulting skills across areas such as project management, user experience, and design thinking.

You are curious, detail-oriented, and motivated to continuously improve your analytical and consulting capabilities.

What You'll Do

  • Support client and internal teams in understanding business questions and translating them into analytical requirements
  • Analyze data to identify trends, patterns, and insights under the guidance of senior team members
    Build and maintain dashboards and recurring reports to track key metrics and performance indicators
  • Assist in documenting metrics, definitions, and analytics processes
  • Collaborate with data engineers and other analysts to support data modeling and reporting layers
    Communicate insights clearly through visualizations, summaries, and presentations
  • Proactively identify opportunities to improve reporting, data quality, and analytical workflows

Qualifications

  • Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role
  • Programming experience in Python, Bash scripting, R or related language
  • Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
  • Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI)
  • Foundational understanding of data modeling and analytics best practices
  • Experience defining and tracking KPIs and metrics
  • A/B testing and causal analysis
  • Strong analytical and problem-solving skills with attention to detail
  • Clear written and verbal communication skills
    Ability to work collaboratively in cross-functional and consulting-style environments
  • Interest in learning about data governance, privacy, and security best practices

Perks and Benefits

  • Comprehensive Health & Wellness Benefits Package
  • Retirement Planning
  • Parental Leave Program
  • Flexible Working Hours
  • Work from Home Flexibility
  • Service Recognition Programs
  • Socials, Outings & Retreats
  • Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $75,000 to $100,000. This is an estimate and a compensation offer will vary based on applicant's education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

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