Senior Analytics Specialist

JLL (Jones Lang LaSalle)

Remote

Quick summary

Work type: Remote
Location: Atlanta, GADallas, TXPensacola, FLTallahassee, FLWichita, KS
Salary: $90,000–$110,000 / yr
Posted: 3 days ago
Closes: Aug 31, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k

This role $100k

$76k most similar roles pay here $216k

This role pays less than 97% of similar roles. Most pay $135,368–$193,000 — the shaded band above. At the midpoint, this role pays about $100k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About JLL (Jones Lang LaSalle)

JLL (Jones Lang LaSalle) is a global professional services firm specializing in real estate and investment management, providing services to buyers, sellers, tenants, landlords, investors, and developers. Industry: Commercial Real Estate Services

JLL (Jones Lang LaSalle) currently has 95 open roles on FindRole.

Listed pay typically runs $145,000–$180,000 across 55 roles with salary data.

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At a glance

TL;DR · Senior Analytics Specialist

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As a Senior Analytics Specialist at JLL, you will lead complex analytics initiatives that drive strategic insights and performance improvements within the commercial real estate sector. This role involves conducting advanced ROI assessments, developing sophisticated solution designs, and executing comprehensive launch strategies including training and UAT oversight. You will work autonomously on high-impact projects while collaborating with developers and account teams to deliver exceptional client value. Key responsibilities include generating proactive insights through scenario modeling, mentoring junior analysts, and partnering with offshore technical delivery teams. The ideal candidate has a Bachelor's degree in Data Science or related field, 4-6 years of experience in analytics roles, advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred), expertise in statistical analysis, and proficiency in Python/PySpark for data transformation. Experience with visualization tools like Tableau and cloud-based analytics solutions is essential.

Skills

Python PySpark SQL Azure Databricks Tableau Power BI Azure Git CI/CD DevOps UAT Agile Change Management Data Warehousing Visualization Tools Statistical Analysis Scenario Modeling Cloud-Based Analytics Solutions

What you'll do

Lead project discovery sessions with advanced ROI assessments and stakeholder prioritization.
Develop sophisticated solution designs translating complex business requirements into data solutions.
Design and execute comprehensive launch strategies including training and UAT oversight.
Generate proactive insights through scenario modeling to support strategic decision-making.
Mentor Analytics Specialists and contribute to team capability development.

What we're looking for

Bachelor's degree in Data Science, Business Analytics, Statistics, or related field.
4-6 years of experience in business intelligence, data strategy, or analytics roles.
Advanced proficiency in SQL and data warehousing technologies (Azure Databricks preferred).
Expertise in statistical analysis, scenario modeling, and visualization tools (Tableau, Power BI).
Proficiency in Python/PySpark for data analysis and transformation; experience with cloud-based solutions.
Strong stakeholder management skills and ability to communicate technical concepts effectively.

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