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Afternoon Data Analyst R Programming Jobs in Brampton, 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 ...

Requirements * Bachelor's degree in Statistics, Maths, Engineering, Economics, or another ... Experience with PowerBI and familiarity with statistical tools and models (R, SAS) Benefits

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 & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

You are a data analyst with strong statistical foundations and hands-on experience in preparing and ... computing, object-oriented programming and database query languages (Python, SQL, R)

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 ...

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

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 ...

This role blends analytics with light analytics engineering, ensuring the data our teams rely on is ... Basic coding skills in Python, R, or a similar language to support data preparation and advanced ...

This role combines data engineering expertise with analytical acumen, requiring you to work collaboratively with stakeholders while maintaining rigorous data governance standards. The ideal candidate ...

New

This role combines data engineering expertise with analytical acumen, requiring you to work collaboratively with stakeholders while maintaining rigorous data governance standards. The ideal candidate ...

New

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 · On-site

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;

University Degree in Engineering / Computer Science / Mathematics /Statistics / Engineering ... data analytics or data science, ideally in a media or marketing environment Fluency in SQL and ...

Senior Data Analyst

Toronto, ON · Remote

$154K - $246K/yr

... programming language such as Python or R. * 5+ years of experience with applied statistical ... analyzing customer, pipeline, and revenue data. * Exceptional verbal and written communication ...

Data Analyst

Hamilton, ON · On-site

CA$27.51 - CA$37.29/hr

Data Analyst Number of Openings: 1 Division: Corporate Full/Part Time/Casual: Full Time Program ... Conduct business process reviews, workflow mapping, process re-engineering, and operational ...

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Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

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

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

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Brampton, ON?

For Afternoon Data Analyst R Programming jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Brampton, ON look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Brampton, ON are:

Infographic showing various Afternoon Data Analyst R Programming job openings in Brampton, ON as of July 2026, with employment types broken down into 1% As Needed, 59% Full Time, 32% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

Full-time

Posted 14 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.