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Full Time Data Analyst R Programming Jobs in Toronto, ON

Wings Food Products

Senior Data Analyst

Toronto, ON

CA$60K - CA$80K/yr

SENION DATA ANALYST Key Responsibilities The ideal candidate has proven experience in ERP ... Coordinate internal teams, vendors, developers, and business stakeholders. * Manage risks, issues ...

Capital One

Senior Associate, Data Analyst

Toronto, ON · Hybrid

Bachelor's or Master's Degree in a quantitative field such as Data Analytics, Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Finance or a related discipline. * At ...

Adastra Corporation

Data Product Analyst

Thornhill, ON · Remote

Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases * Define testing acceptance criteria, support user validation, and ...

GFD

Junior Data Analyst, Operations

Toronto, ON

CA$55K - CA$60K/yr

... and Process Engineering/Automating Manual Reports Your Key Deliverables * Developing industry ... Convert raw data into meaningful analysis with the help of interactive, easy-to-understand ...

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Full Time Data Analyst R Programming information

What is the difference between Full Time Data Analyst R Programming vs Data Scientist?

AspectFull Time Data Analyst R ProgrammingData Scientist
Required SkillsData analysis, R programming, SQL, ExcelData analysis, R/Python, machine learning, statistics
Work EnvironmentBusiness, finance, healthcare, corporate settingsResearch, tech companies, startups, academia
CertificationsData analysis, R certifications, SQL certificationsData science, machine learning, Python/R certifications

Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

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Full Time Data Analyst R Programming jobs near you
Senior Data Analyst (SQL, Power BI, Looker)

Senior Data Analyst (SQL, Power BI, Looker)

NearSource

Toronto, ON • Remote

Full-time

Posted 22 days ago

Job description

Job Title: Senior Data Analyst (SQL, Power BI, Looker)
Location: 100% Remote, Canada
Experience: 5+ Years
Rate: 62 to 65 CAD PH

Role Summary

NearSource is looking for a Senior Data Analyst to drive data-informed decision-making across large-scale platform initiatives. This role involves working with cross-functional teams to analyze complex datasets, deliver actionable insights, and support strategic business outcomes for a Fortune 500 product company.

Key Responsibilities

  • Collaborate with product managers and cross-functional teams to identify, define, and solve business problems using data-driven approaches.
  • Analyze large and complex datasets to extract actionable insights that influence product and business strategy.
  • Monitor and report on KPIs and OKRs, ensuring visibility into performance across platform initiatives.
  • Partner with product, engineering, and business stakeholders to understand data needs and deliver analytical solutions.
  • Design and deliver impactful dashboards and visualizations using Power BI, Looker, or similar tools.
  • Proactively identify trends and opportunities related to platform performance, user engagement, and business impact.
  • Develop advanced data models and apply statistical techniques to forecast trends and support decision-making.
  • Ensure data integrity through best practices in data validation, cleaning, and transformation.
  • Identify and resolve data discrepancies to maintain high-quality analytical outputs.

Must-Have Skills

  • Strong proficiency in SQL for data querying, transformation, and analysis.
  • Hands-on experience with data visualization tools such as Power BI and Looker.
  • Experience with data warehouse ELT tools, including Snowflake, Airflow, or dbt.
  • Proficiency in Python or R for data analysis and modeling.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Solid understanding of statistical analysis and data modeling techniques.
  • Proven ability to analyze complex datasets and generate actionable insights.
  • Strong communication skills to present data insights to both technical and non-technical stakeholders.

Nice-to-Have Skills

  • Experience working in a SaaS environment or platform engineering organization.
  • Exposure to large-scale product analytics and user behavior analysis.
  • Familiarity with enterprise product ecosystems in the software industry.

Certifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related quantitative field.
  • Master's degree in a quantitative field is an asset.

Apply now, or share your resume with salary expectations at careers@nearsource.ca.
Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

About NearSource

NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.

Equal Opportunity Statement

NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.