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Entry Level Data Analyst R Programming Jobs in Toronto, ON

Working closely with business partners, data engineers, and analytics teams, you will leverage data ... Experience with Python or R is an asset. Familiarity with cloud and data warehousing platforms such ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data ... Programming experience in Python, Bash scripting, R or related language * Working proficiency in ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data ... Programming experience in Python, Bash scripting, R or related language * Working proficiency in ...

Data Analyst

Toronto, ON · On-site +1

If you enjoy solving complex problems, working with data tools such as Power BI, Python, R, or ... Analyze key business metrics to evaluate and improve strategic initiatives * Translate data into ...

The successful candidate will combine strong technical expertise in data engineering, programming, data analysis, data modeling, and database design with a solid understanding of finance, accounting ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Work closely with data engineers to validate ETL/transformation rules. * Stakeholder Collaboration ... Excellent analytical and problem-solving abilities in ambiguous environments. * Strong ...

Data Analyst

Mississauga, ON

CA$75K - CA$90K/yr

You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal ... Statistical analysis (Excel, SPSS, SAS, R, or Python); * ETL methodologies and toolsets;

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Partner with Data Engineers to support the successful implementation of solutions. QUALIFICATION REQUIREMENTS: Experience * 2+ years of work experience in quantitative analysis. Education/Training

Use SQL, Python, and R to extract, clean, transform, analyze, and prepare data for reporting, dashboards, and business analysis. * Design, develop, and implement reporting solutions using tools such ...

Strong experience in Retail (Brick & Mortar and eCommerce) and as a Data Analyst (7+ years) * Strong SQL experience and proficiency with at least one analytics/programming tool (e.g., Python/R

... Programming Solid working knowledge of Python specifically Pandas NumPy or R for data manipulation and statistical analysis Spreadsheets Advanced Excel or Google Sheets skills IndexMatch Pivot Tables ...

... Programming Solid working knowledge of Python specifically Pandas NumPy or R for data manipulation and statistical analysis Spreadsheets Advanced Excel or Google Sheets skills IndexMatch Pivot Tables ...

Business Data Analyst

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

... Analyst role has the following key accountabilities: * Undergraduate degree required, advanced ... Experience with structured and unstructured data, feature engineering, and model interpretability ...

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Entry Level Data Analyst R Programming information

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What are the most commonly searched types of Data Analyst R Programming jobs in Toronto, ON?

The most popular types of Data Analyst R Programming jobs in Toronto, ON are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Toronto, ON?

For Entry Level Data Analyst R Programming jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Toronto, ON look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Toronto, ON are:

Infographic showing various Entry Level Data Analyst R Programming job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Full-time

Posted 10 days ago


Job description

Requisition ID: 268731 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose

The Data Analyst plays a key role in driving data-informed decision-making across Scotiabank by transforming complex data into meaningful insights that support business strategy, operational excellence, and customer outcomes. Working closely with business partners, data engineers, and analytics teams, you will leverage data to uncover opportunities, solve business challenges, and deliver actionable recommendations that create measurable impact.
Key Responsibilities

Data Analysis & Insights

   Analyze large and complex datasets to identify trends, opportunities, and actionable business insights.
   Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, Excel, or similar tools.
   Translate data into clear recommendations that support strategic and operational decision-making.
Stakeholder Collaboration

   Partner with business leaders across areas such as Retail Banking, Wealth Management, Risk, and Finance to understand business needs and objectives.
   Translate business questions into analytical solutions and data-driven recommendations.
   Present findings effectively to both technical and non-technical audiences.
Data Quality & Governance

   Ensure the accuracy, integrity, and reliability of data used for reporting and analysis.
   Support data governance initiatives and adherence to enterprise standards and best practices.
   Perform data validation, reconciliation, and quality assurance activities.
Advanced Analytics & Innovation

   Support predictive analytics, customer segmentation, performance measurement, and business improvement initiatives.
   Collaborate with data scientists and engineers on advanced analytics and innovation projects.
   Identify opportunities to automate reporting and enhance data processes.
What You'll Bring

Technical Skills

   Strong SQL and data querying skills.
   Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
   Advanced Excel proficiency.
   Experience with Python or R is an asset.
   Familiarity with cloud and data warehousing platforms such as Snowflake, Hadoop, GCP, or similar technologies.
Core Competencies

   Strong analytical and problem-solving abilities.
   Excellent communication and data storytelling skills.
   High attention to detail and commitment to data accuracy.
   Ability to manage competing priorities in a fast-paced environment.
   Collaborative mindset with strong stakeholder relationship skills.


Education & Experience

   Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Finance, or a related field.
   2+ years of experience in data analytics, business intelligence, or a related field.
   Experience working with large datasets and relational databases.
   Financial services, banking, customer analytics, or risk analytics experience is considered an asset.
Why Join Scotiabank?

   Work on high-impact projects that influence strategic business decisions.
   Partner with diverse teams across one of Canada's leading financial institutions.
   Gain exposure to modern analytics tools, cloud technologies, and enterprise-scale data environments.
   Be part of a team that values innovation, collaboration, and continuous learning.
#SWM

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.