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Retail Data Analyst Jobs in Ontario (NOW HIRING)

Scotiabank

Data Analyst

Toronto, ON · On-site

Purpose The Data Analyst plays a key role in driving data-informed decision-making across ... Stakeholder Collaboration Partner with business leaders across areas such as Retail Banking, Wealth ...

Ness Digital Engineering

Ability to analyse the construction of existing reports and reverse engineer table relationships ... Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects ...

AutoTrader.ca

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

As part of AutoScout24 group, Europe's largest online car marketplace, we're shaping the future of automotive retail in Canada and beyond. As Senior Data Analyst you will join our Seller & Listing ...

Fulfillment IQ

Supply Chain Data Analyst

Toronto, ON · On-site

Supply Chain Data Analyst Primary Job Location: Toronto, ON, Canada Location Flexibility: Hybrid ... that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics ...

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All JobsRetail Data Analyst JobsRetail Data Analyst Jobs in Ontario

Retail Data Analyst information

See Ontario salary details

$19

$32

$46

How much do retail data analyst jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for retail data analyst in Ontario is $32.30, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $40.87 per hour, depending on experience, location, and employer.

What is a retail data analyst?

A Retail Data Analyst collects, analyzes, and interprets sales and consumer data to help businesses optimize their retail strategies. They use data-driven insights to improve pricing, inventory management, marketing campaigns, and customer experience. Their role often involves working with databases, visualization tools, and statistical models to identify trends and opportunities. By leveraging data, they help retailers make informed decisions that drive sales and profitability.

What are the key skills and qualifications needed to thrive as a retail data analyst?

To thrive as a Retail Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid educational background in mathematics, economics, or a related field. Experience with data analysis tools such as Excel, SQL, Tableau, and often Python or R, along with relevant data analytics certifications, is highly valued. Excellent communication, attention to detail, and problem-solving abilities help candidates translate complex data into actionable business insights. These skills are crucial for turning retail data into strategies that drive sales, optimize inventory, and improve the customer experience.

What are the typical career paths and advancement opportunities for a retail data analyst?

Retail Data Analysts often start by working closely with merchandising, marketing, and operations teams to provide insights on sales trends, customer behavior, and inventory management. Over time, successful analysts can move into senior analyst positions, specialized roles (such as pricing or supply chain analytics), or even transition into management as analytics or business intelligence leads. Many organizations support professional development through training or cross-functional projects, allowing for growth into broader analytics, data science, or strategy roles. This field offers abundant opportunities for those interested in growing their technical expertise and business acumen.

What does a retail data analyst do?

A retail data analyst collects, analyzes, and interprets sales, inventory, and customer data to help retail businesses make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, optimize stock levels, and improve sales strategies. Strong analytical skills and understanding of retail operations are essential for this role.

What is data analytics in retail?

Data analytics in retail involves examining large sets of sales, customer, and inventory data to identify patterns, trends, and insights that support decision-making. Retail data analysts use tools like Excel, SQL, and data visualization software to optimize inventory, improve customer experience, and increase sales efficiency.

What are popular job titles related to Retail Data Analyst jobs in Ontario?

For Retail Data Analyst jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Retail Data Analyst jobs in Ontario look for?

The top searched job categories for Retail Data Analyst jobs in Ontario are:

Retail Data Analyst jobs near you
Infographic showing various Retail Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,174 per year, or $32.3 per hour.

Data Analyst

Toronto, ON • On-site

Scotiabank
Banking and Credit Intermediation • 10K+ employees
Learn more about Scotiabankexternal

Full-time

Posted 20 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.

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