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Senior Data Analyst (Remote)

Pay
CAD 75,000–90,000/year · Base — pay source
Estimated compensation for this position: 75,000.00 – 90,000.00 CAD per year This range represents the estimated base salary and actual compensation may differ. Final base salary is determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Some roles and employees may be eligible for discretionary bonuses, benefits, or other compensation. Location:
Read the full posting
Work setting
Remote — work setting source
JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. Enterprise Analytics is an internal analytics-consulting team that provides data driven expertise to various business and support functions. The Senior Data Analyst is an experienced role that combines data-driven storytelling, analytical prowess and expert level stakeholder management to drive significant value. We need a data rockstar to join our growing team and that could be you! This is remote based role that requires working on the Eastern time zone. As this is part of a global team, flexibility will be needed to accommodate occasional meetings outside of this time zone too. What your day-to-day will look like:
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in a quantitative field such as Engineering, Analytics, Statistics / Mathematics, Computer Science, Econometrics or Data Science and Information Management
  • 75,000.00 – 90,000.00 CAD per year This range represents the estimated base salary and actual compensation may differ.
  • 2-4 years of experience with data visualization platforms (Tableau preferred) required
  • Ability to quickly understand, process and consume industrial scale databases using one of these tools.

Preferred experience

  • advanced degree preferred
  • Experience with user design a plus
  • Experience in developing and delivering insights through advanced analytics and working with relational databases, API integrations, data automation preferred.
Qualification wording
Bachelor's degree in a quantitative field such as Engineering, Analytics, Statistics / Mathematics, Computer Science, Econometrics or Data Science and Information Management (advanced degree preferred).
75,000.00 – 90,000.00 CAD per year This range represents the estimated base salary and actual compensation may differ. Final base salary is determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Some roles and employees may be eligible for discretionary bonuses, benefits, or other compensation.
2-4 years of experience with data visualization platforms (Tableau preferred) required (Experience with user design a plus).
Ability to quickly understand, process and consume industrial scale databases using one of these tools.
Experience in developing and delivering insights through advanced analytics and working with relational databases, API integrations, data automation preferred.
Education & alternatives
Required Qualifications: - Bachelor's degree in a quantitative field such as Engineering, Analytics, Statistics / Mathematics, Computer Science, Econometrics or Data Science and Information Management (advanced degree preferred). - 2-4 years of experience with data visualization platforms (Tableau preferred) required (Experience with user design a plus).
Apply at Jones Lang LaSalle

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 13, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 43.

At Jones Lang LaSalle, jobs usually come down by about day 16.

From 14,584 similar postings that came down, and 267 of Jones Lang LaSalle’s. Coming down is not always a hire.

Jones Lang LaSalle is hiring

17 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring has slowed
  • Takes jobs down quickly
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Excel
  • Tableau
Where the posting names them
- 2-4 years of experience with data visualization platforms (Tableau preferred) required (Experience with user design a plus). - Programming experience and expertise in SQL (experience with Azure Databricks / Python a plus). - Ability to quickly understand, process and consume industrial scale databases using one of these tools.
- Effective written and verbal communication skills, including technical writing to work with multiple cross- functional teams. - Advanced skills using Excel and PowerPoint. Estimated compensation for this position:
- Partner with Sr level stakeholders to determine creative data-based methodologies for driving business value. - Develop professional grade dashboards in Tableau to drive better decision making across the Capital Markets business. - Prepare and present findings and analyses to stakeholders through iterative development and agile delivery - drive faster, smarter data driven decisions.
- Bachelor's degree in a quantitative field such as Engineering, Analytics, Statistics / Mathematics, Computer Science, Econometrics or Data Science and Information Management (advanced degree preferred). - 2-4 years of experience with data visualization platforms (Tableau preferred) required (Experience with user design a plus). - Programming experience and expertise in SQL (experience with Azure Databricks / Python a plus).

Your next step

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About Jones Lang LaSalle

People
About 100,000 in 2025, up 11% from the year before.Annual report (SEC Form 10-K)
Company
Listed as JLL.

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

JLL empowers you to shape a brighter way.  

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

What this job involves:

JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. Enterprise Analytics is an internal analytics-consulting team that provides data driven expertise to various business and support functions. The Senior Data Analyst  is an experienced role that combines data-driven storytelling, analytical prowess and expert level stakeholder management to drive significant value. We need a data rockstar to join our growing team and that could be you! 


This is remote based role that requires working on the Eastern time zone. As this is part of a global team, flexibility will be needed to accommodate occasional meetings outside of this time zone too.

 

What your day-to-day will look like:

  • Partner with Sr level stakeholders to determine creative data-based methodologies for driving business value. 
  • Develop professional grade dashboards in Tableau to drive better decision making across the Capital Markets business.   
  • Prepare and present findings and analyses to stakeholders through iterative development and agile delivery - drive faster, smarter data driven decisions. 
  • Generate revenue or cost saving opportunities through data-driven insights and proactively identify opportunities to optimize the performance and efficiency of existing processes/procedures. 
  • Support the roadmap development process through facilitating discussions with stakeholders, researching possible solutions and recommending key areas of opportunity where we can drive analytical value. 
  • Lead prioritization and project management efforts to create consistency and ensure expectation alignment with key stakeholders 
  • Explore and utilize new data mining and data visualization tools to conduct ad-hoc analysis as required. 
  • Leverage additional support teams (Advanced Data Science and Marketing Analytics) to drive even more stakeholder value. 

 

Required Qualifications:

  • Bachelor's degree in a quantitative field such as Engineering, Analytics, Statistics / Mathematics, Computer Science, Econometrics or Data Science and Information Management (advanced degree preferred). 
  • 2-4 years of experience with data visualization platforms (Tableau preferred) required (Experience with user design a plus). 
  • Programming experience and expertise in SQL (experience with Azure Databricks / Python a plus). 
  • Ability to quickly understand, process and consume industrial scale databases using one of these tools. 
  • Experience in developing and delivering insights through advanced analytics and working with relational databases, API integrations, data automation preferred. 
  • Strong interpersonal communication and active listening skills. 
  • Comfortable with creating creative solutions where ambiguity exists and delivering against aggressive timelines is required. 
  • Effective written and verbal communication skills, including technical writing to work with multiple cross- functional teams. 
  • Advanced skills using Excel and PowerPoint. 

Estimated compensation for this position:

75,000.00 – 90,000.00 CAD per year

This range represents the estimated base salary and actual compensation may differ. Final base salary is determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Some roles and employees may be eligible for discretionary bonuses, benefits, or other compensation.


Location:

Remote –Toronto, ON

Opening Type:

Replacement

Job Tags:

If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Source details

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Pay
Estimated compensation for this position: 75,000.00 – 90,000.00 CAD per year This range represents the estimated base salary and actual compensation may differ. Final base salary is determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Some roles and employees may be eligible for discretionary bonuses, benefits, or other compensation. Location:
Location & working pattern

Toronto, ON

JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. Enterprise Analytics is an internal analytics-consulting team that provides data driven expertise to various business and support functions. The Senior Data Analyst is an experienced role that combines data-driven storytelling, analytical prowess and expert level stakeholder management to drive significant value. We need a data rockstar to join our growing team and that could be you! This is remote based role that requires working on the Eastern time zone. As this is part of a global team, flexibility will be needed to accommodate occasional meetings outside of this time zone too. What your day-to-day will look like:
More source context
Location: Remote –Toronto, ON Opening Type:
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