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Data Extraction Jobs in Ontario (NOW HIRING)

Data Operations Specialist

Toronto, ON · On-site

CA$69K - CA$119K/yr

Data extraction - SQL, Python, API invocation, CDC * Data storage repositories - SFTP, AWS S3 * ETL/ ELT tools and workflow - Snowpipe, PySpark, AWS Glue, EMR, AWS Lambda, SCD * A strong analytical ...

Data and Reporting Analyst

Toronto, ON · Hybrid

CA$56K - CA$103K/yr

Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques. * Provides value through insights, reporting and data visualization ...

New

Have expert-level skills in SQL, Snowflake, DBT, for complex data extraction, manipulation, transformation, and query optimization. * Possess a deep understanding and practical experience with data ...

Coordinate data extraction, validation, transformation, and loading activities. * Establish and validate historical balances and reference data within the new system environment. * Perform ...

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Perform data modelling, data extraction, transformation, and loading (ETL/ELT). * Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Perform data modelling, data extraction, transformation, and loading (ETL/ELT). * Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications

The Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing ...

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

The Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing ...

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

The Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing ...

Strong SQL skills for data extraction and manipulation * Experience with version control (Git) and collaborative development practices * Leadership & Business Acumen * Strong initiative with ability ...

Showing results 21-40

Data Extraction information

See Ontario salary details

$11

$28

$69

How much do data extraction jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data extraction in Ontario is $28.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.25 per hour, depending on experience, location, and employer.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

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

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

Infographic showing various Data Extraction 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 $58,613 per year, or $28.2 per hour.

Analyst - Business Intelligence & Data Analytics

Sapling Financial Consultants Inc

Toronto, ON • Hybrid

Full-time

Posted 8 days ago


Job description

COMPANY SUMMARY


Sapling Financial Consultants is a management consulting firm, founded in 2015. What started as an idea from a kitchen table has turned into a trusted management consulting firm serving clients across North America. Headquartered in Toronto, Ontario, with a newly opened satellite office in Atlanta, Georgia, Sapling is supported by a team of 30 professionals, delivering high-quality financial modelling, due diligence, interim FP&A and data analytics solutions tailored to mid-market companies, private equity firms, investment banks, search funds and independent sponsors, infrastructure and electricity developers, as well as entrepreneurs. During the past decade, Sapling has developed a reputation for excellence in financial modelling and data analytics.

More than half of Sapling's clients are based in the U.S., reflecting its expanding geographic footprint and growing reputation in management consulting. The firm continues to scale its capabilities, invest in new talent and maintain flexibility in response to shifting market conditions. During periods of economic uncertainty, Sapling has consistently demonstrated steady growth. The firm was recognized for its excellence, being awarded the CanadianSME National Business Award for Best Professional Service in 2023, ranked in Globe and Mail' and Ragan's 2025 Workplace Wellness Award in the category of Learning & Development - Wellness Initiatives, as well as being ranked in Canada's Top Growing Companies by The Globe and Mail's Report on Business Magazine in 2024, with a three-year growth rate of 215 per cent.


    POSITION SUMMARY, DUTIES AND QUALIFICATIONS


    Position Summary

    We are looking for an ambitious Analyst with training and ideally some hands-on experience in Business Intelligence, Data Analytics, and Statistical Analytics, who, above all, wants to do high quality, impactful work they can take pride in - work that creates real value for our clients.

    Our guiding principle is We Live for A+. If you are someone who strives for excellence, not because you have to, but because you take pride in doing great work and enjoy seeing how far you can go, then Sapling might be exactly where you belong.

    As an Analyst, you will collaborate with our co-founders and senior consultants to conduct in-depth analyses for management using financial and business data as well as build comprehensive management reporting for clients.

    We are a boutique consultancy that differentiates itself from the big firms with best-in-class work, and we have no interest in diluting our brand. The ideal candidate can not only keep up but also win our respect through their work ethic, attention to detail, and high quality of work.

    We're looking, above all, for someone with a long-term outlook who wants to join like-minded people in building a wildly successful company founded on the principle of creating high-impact value for clients.

    This role will help you deepen and widen your data analytics and modelling skills and provide you with hands-on experience with client and business development. Ultimately, you will play a large role in a small but growing team with big ambitions for the future.

    Our company is on a hybrid model, with the entire team in-office Tuesdays and Wednesdays (2 days/week at 100 Sheppard Avenue East, Suite 860, Toronto), and the balance of days at home. Our hybrid model is a reflection of the independence that our team is entrusted with in completing their work.


    Responsibilities

    • Data extraction from various systems including accounting systems, operational systems, HR systems, web databases etc. using data extraction tools, custom coding, API connectors, and other extraction techniques
    • Mine, analyze, and model large datasets to help define the structure of the database. Develop custom data warehouses and algorithms to apply to data sets
    • Comprehensive data manipulations and transformations using SQL to clean the data of any discrepancies and re-organize data sets in desirable forms
    • Use predictive modeling to assist in estimating revenue generation and other business outcomes
    • Preparing outputs for clients including business reporting packages, financial dashboards, and operational performance trackers using data visualization tools
    • Coordinate with different client teams to implement models. Develop processes and tools to monitor and analyze system performance and data accuracy
    • Develop financial analyses / data analyses providing actionable insight to management through spreadsheets
    • Manage client relationships, ensuring overall satisfaction and looking for pertinent opportunities to provide additional services to existing clients
    • As required, and depending on available billable work, assist with proposals ("live" client leads, government bids, etc.), marketing material development, writing of white papers and blogs, and help in the process of disseminating marketing materials (emails, snail mail, etc.)


    Skills & Qualifications

    • A Bachelor degree in a relevant discipline (i.e., computer science, mathematics, statistics, engineering, science ) is required, though work experience or completed projects in a relevant field coupled with a non-related Bachelor's degree (humanities, social sciences, etc.) can substitute
    • Experience using programming languages (C#, R, Python, or other languages,) to manipulate data and draw insights from large data sets
    • Deep understanding of relational databases and hands-on experience with MySQL and/or SQL
    • Experience or certification using Microsoft Azure services is welcomed, but not a must
    • Hands-on experience with Excel Lookup functions, Pivots, VBA Macros
    • Experience with data analysis and machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
    • Experience in data visualization tools such as Power BI or Tableau is a strong differentiator
    • 0-2 years experience in analytical role with involvement in screening / manipulating / analyzing big data sets is a strong differentiator
    • Intellectual curiosity and passion for learning about new industries and new businesses
    • Ability to take ownership of responsibilities and see them through to completion
    • Ability to work independently and manage time and multiple tasks / deadlines / deliverables at once
    • Strong dedication to the team and excellent work ethic, as well as enthusiasm about going above and beyond to ensure our clients achieve their business goals
    • Desire to contribute to the firm over the long haul, with the understanding that loyalty and hard work will be recognized in both compensation and responsibilities far more quickly than in a large "brand-name" firm

    APPLICATION DETAILS

    • Start Date: We are looking for 1 full-time team members to start with us either in the summer or fall of 2027.
    • Location: Toronto
    • Salary Range: $65,000 to $85,000 plus bonus
    • Application Materials:
    1. Resume
    2. Transcripts (for your entire undergraduate program to date)
    3. Answering a couple of questions on our online form


    We do not use AI to review your application. When it is reviewed, it is reviewed by a human being, likely a senior one, at Sapling. This reflects the care with which we do all our work. At Sapling, you are a person in whose growth we are deeply vested - you are not a number, and not data for a large language model


    Sapling Financial Consultants is an equal opportunity employer that is committed to inclusion and diversity.