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Analytics Engineer Data Analyst Jobs in Toronto, ON

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

... analytics and reporting solutions that enable clients to understand performance, identify opportunities, and make confident business decisions. You work closely with consultants, data engineers ...

Ability to analyze business requirements and current state processes to produce IT requirements ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst and report developer for Single Family Operations. This role involves collaborating closely with ...

Bachelor's degree in quantitative fields (E.g., Statistics, Mathematics, Computer Science, Engineering) * 5+ years of experience in data, analytics, or business/data roles * Experience working with ...

... of analytics analysis to support process optimization and data insights * Perform root cause ... Serve as a liaison between technical teams (data ingestion, engineering) and business stakeholders ...

LiDAR Data Analyst (Co-op)

Concord, ON · On-site +1

CA$46K - CA$61K/yr

Collaborate with engineers, scientists, and software developers on technical projects ... Geospatial data processing and analysis workflows. * LiDAR and imaging sensor technologies.

... of analytics analysis to support process optimization and data insights * Perform root cause ... Serve as a liaison between technical teams (data ingestion, engineering) and business stakeholders ...

Showing results 41-60

Analytics Engineer Data Analyst information

What is the difference between Analytics Engineer Data Analyst vs Data Scientist?

AspectAnalytics Engineer Data AnalystData Scientist
CredentialsBachelor's in Data, Analytics, or related fields; certifications like SQL, Excel, TableauBachelor's or higher in Data Science, Statistics, or Computer Science; often includes Python, R certifications
Work EnvironmentBusiness teams, data warehouses, reporting toolsResearch, modeling, advanced analytics, machine learning environments
Employer & Industry UsageFinance, marketing, retail, tech companies focusing on data reportingTech, healthcare, finance, research institutions focusing on predictive modeling

While both roles work with data, Analytics Engineers Data Analysts focus on data collection, cleaning, and reporting to support business decisions. Data Scientists develop models and algorithms for predictive insights. The roles complement each other but differ in technical depth and focus areas.

What do analytics engineer data analysts do?

Analytics engineer data analysts collect, process, and analyze data to help organizations make informed decisions. They often work with tools like SQL, Python, or data visualization software and focus on building reliable data pipelines and reports. Their role combines technical skills with business understanding to deliver actionable insights.

What cities near Toronto, ON are hiring for Analytics Engineer Data Analyst jobs?

Cities near Toronto, ON with the most Analytics Engineer Data Analyst job openings:

Infographic showing various Analytics Engineer Data Analyst job openings in Toronto, ON as of June 2026, with employment types broken down into 72% Full Time, 6% Part Time, 2% Temporary, and 20% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Data Analyst

Toronto, ON • Hybrid

Konrad
Industrial Machinery Manufacturing • 11 - 50 employees

CA$105K - CA$115K/yr

Full-time

Medical, Retirement

This job post has expired 2 days ago. Applications are no longer accepted.


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

As a Senior Data Analyst, you are an experienced analytics professional who leads analytical initiatives and partners directly with stakeholders to shape data-informed strategy. You drive the design and delivery of analytics and reporting solutions that enable clients to understand performance, identify opportunities, and make confident business decisions.

You work closely with consultants, data engineers, developers, designers and clients across multiple engagements. You own analytical problem-solving from discovery to delivery, mentor junior analysts, and help establish best practices across data modeling, experimentation, and reporting.

You are curious, pragmatic, and comfortable navigating ambiguity. You translate complex business problems into structured analysis, proactively surface insights, and influence decisions through clear communication and thoughtful storytelling.

What You'll Do

  • Partner with client and internal stakeholders to define business questions, success metrics, and measurement strategies
  • Lead analytical projects end-to-end including discovery, data validation, analysis, and presentation of recommendations
  • Design and implement scalable dashboards and reporting frameworks for executive and operational decision-making
  • Develop and maintain metric definitions, documentation, and analytics standards across engagements
  • Perform deep-dive analyses to identify drivers, opportunities, and risks across product and business performance
  • Design and evaluate A/B tests and experimentation strategies, including statistical interpretation and recommendations
  • Collaborate with data engineers to design data models and ensure reliable, high-quality reporting layers
  • Mentor junior analysts and review analytical work to ensure quality and rigor
  • Communicate insights through clear narratives, visualizations, and executive-level presentations
  • Identify and implement improvements to analytics workflows, governance, and data quality processes

Qualifications

  • Minimum 4+ years of experience in a data analyst, business intelligence, product analytics, or consulting analytics role
  • Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
  • Proficiency in Python, R, or similar language for data analysis and automation
  • Advanced experience with Business Intelligence and visualization tools (e.g., Looker, Tableau, Power BI)
  • Strong understanding of data modeling, dimensional modeling, and analytics architecture concepts
  • Experience defining KPIs, measurement frameworks, and decision metrics
  • Hands-on experience designing and analyzing experiments (A/B testing, causal inference, statistical interpretation)
  • Proven ability to independently structure ambiguous problems and deliver actionable insights
  • Experience working directly with stakeholders and presenting to leadership audiences
  • Strong written and verbal communication skills and ability to influence decisions
    Experience mentoring analysts or reviewing analytical work
  • Familiarity with 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 $105,000 to $115,000. 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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