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SQL

Asked for in 28 job posts at 16 companies across Canada, and 1 people here are learning it.

No job posts in Columbus yet, so we're showing all of Canada.

Demand over time

Job posts asking for SQL, by week, last 16 weeks

10

in the last 4 weeks · 8 the 4 before

Job posts asking for this skill, by week
Week ofJob posts
Jul 201
Jul 270
Aug 31
Aug 101
Aug 172
Aug 240
Aug 310
Sep 70
Sep 143
Sep 210
Sep 283
Oct 52
Oct 123
Oct 192
Oct 260
Nov 25

Who's hiring

Companies with posts that ask for it

  • LLightspeed5
  • CCohere3
  • WWealthsimple3
  • 11Password3
  • CClutch2
  • HHopper2
  • ddatabricks1

Newest job posts

Learn next

Asked for in the same posts

Impact projects

Real problems in Canada, from public data. Build something that helps, and prove SQL while you do it.

  • AI-suggestedUN SDG 11

    Average asking rent for a 2-bedroom apartment, Calgary (quarterly, dollars per month) shifted from 1700 in 2022 Q3 to 1890 in 2026 Q2, burdening tenants searching for housing in Calgary.

    Average asking rent for a 2-bedroom apartment, Calgary (quarterly, dollars per month)
    Average asking rent for a 2-bedroom apartment, Calgary (quarterly, dollars per month)
    PeriodValue
    2022 Q3$1,700
    2022 Q4$1,760
    2023 Q1$1,790
    2023 Q2$1,840
    2023 Q3$2,010
    2023 Q4$2,130
    2024 Q1$2,090
    2024 Q2$2,150
    2024 Q3$2,050
    2024 Q4$1,950
    2025 Q1$1,920
    2025 Q2$2,020
    2025 Q3$2,010
    2025 Q4$1,930
    2026 Q1$1,900
    2026 Q2$1,890
    What to build
    Create a SQL database and query dashboard for housing advocates to analyze quarterly rental price trends.
    How it practises SQL
    Practice writing complex SQL queries with window functions and aggregations to analyze time-series housing data.
    Proof to submit
    Submit a public GitHub repository containing the database schema, SQL migration scripts, and query documentation.
    Data: Statistics Canada table 46-10-0092-01
  • AI-suggestedUN SDG 13

    Greenhouse gas emissions from industries and households, Alberta (yearly, kilotonnes of CO2 equivalent) shifted from 265130 in 2009 to 271415 in 2023, impacting environmental policy planners in Alberta.

    Greenhouse gas emissions from industries and households, Alberta (yearly, kilotonnes of CO2 equivalent)
    Greenhouse gas emissions from industries and households, Alberta (yearly, kilotonnes of CO2 equivalent)
    PeriodValue
    2009265,130 kilotonnes
    2010273,996 kilotonnes
    2011285,154 kilotonnes
    2012290,700 kilotonnes
    2013300,770 kilotonnes
    2014303,757 kilotonnes
    2015295,870 kilotonnes
    2016278,406 kilotonnes
    2017291,330 kilotonnes
    2018291,567 kilotonnes
    2019292,346 kilotonnes
    2020271,006 kilotonnes
    2021275,547 kilotonnes
    2022273,636 kilotonnes
    2023271,415 kilotonnes
    What to build
    Build a relational database and reporting queries to help environmental nonprofits track industrial emissions.
    How it practises SQL
    Practice writing advanced SQL joins, grouping sets, and performance tuning for large environmental datasets.
    Proof to submit
    Submit a public GitHub repository with the database dump, schema creation scripts, and analysis queries.
    Data: Statistics Canada table 38-10-0097-01

Best resources

Free, and hand-picked. Start with the first one.

  1. w01
    Guide

    SQL Tutorial

    w3schools.com

  2. l02
    Guide

    RDBMS and Setup (Part 1 of 7)

    learn.microsoft.com

  3. l03
    Guide

    Programming Databases with T-SQL for Beginners

    learn.microsoft.com

  4. l04
    Guide

    Introduction to Transact-SQL (Part 2 of 7)

    learn.microsoft.com

  5. l05
    Guide

    SQL Crash Course: Learn SQL in One Sitting

    learnsql.com

  6. s06
    Interactive

    SQLBolt lessons

    sqlbolt.com

  7. r07
    Roadmap

    SQL roadmap

    roadmap.sh

  8. y08
    Videos

    Free SQL courses on YouTube

    youtube.com

Projects to prove it AI-suggested

  • B2B SaaS Churn Risk Attribution Model

    An analytics database model that aggregates user product events and subscription lifecycle telemetry into customer health scores. It empowers customer success teams to pinpoint accounts at risk of non-renewal.

  • E-Commerce Marketing Channel Attribution Mart

    An analytics pipeline converting multichannel digital advertising clicks and shopping cart sessions into unified conversion funnels. It helps digital marketing leads evaluate return on ad spend across campaigns.

  • Public Transit Reliability Analytics Suite

    A warehouse transformation schema that ingests public transit arrival events to identify bottlenecks and chronic route delays. It assists urban planners in presenting operational performance reviews to municipal transit boards.