Data Analyst

Toronto, ON
Hybrid
Posted Oct 15, 2026
1 position

$30–$35 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Mid-level · 3+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 4 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Perform marketing and campaign analytics, using SQL to analyze complex problems and determine effective ways to track project requirements. Develop or support analytics solutions using Python, SaaS Enterprise Guide, and BI tools such as Power BI or Tableau.

Job details

Job Title: SQL/Marketing Analytics Location: Toronto, ON (Hybrid – 4 Days Onsite) Duration-6-12 Months+ Job Description: 3+ years of experience as long as they have worked on the following Core analytics - good technically sound SQL is base language - advanced queries - doesn't have to be an expert, but knowing Live SQL test in the interview Someone who knows how to do it - this project needs A, B C, D - how to track it in the most optimum phase to get out of the technology Python coding SaaS Enterprise Guide coding BI tools - PowerBI or Tableau (if they have dashboard/portfolio or ones they created) Basic knowledge of SFMC, not journey specific Able to work independently, IQ on complex problems on there, analytics, campaign problems and running If interested please share resume directly @vidushis1@mindlance.com “Mindlance is an equal-opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process”. We should include, “We use AI in our Hiring processes”, in all job postings for Canada.

What you’ll do

Requirements

Requires at least three years of experience and technically strong SQL skills, including the ability to complete a live SQL test. Candidates should have Python coding experience, familiarity with BI tools and basic Salesforce Marketing Cloud knowledge, and be able to work independently on complex analytics and campaign problems.