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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 peopleand empowering them tothrive grow meaningful careers and to find a place where they belong. Whether youve got deep experience in commercial real estate skilled trades or technology or youre looking to apply your relevant experience to a new industry join our team as we help shape a brighter way forward.

Key Responsibilities:

Data Analyst

Position Overview

We are seeking a detail-oriented and analytical Data Analyst to join our team. This role is responsible for collecting organizing and analyzing large datasets to uncover actionable insights that drive business decisions. The ideal candidate will combine strong technical skills with excellent communication abilities to translate complex data into clear visualizations and recommendations for stakeholders at all organizational levels.

Key Responsibilities

Data Analysis

Collect organize and analyze large datasets from multiple sources to identify trends patterns correlations and business opportunities. Develop and maintain databases spreadsheets and data systems to ensure data accuracy consistency and integrity across the organization. Conduct statistical analysis data modeling and predictive analytics to extract meaningful insights and data-driven recommendations. Perform exploratory data analysis to understand data characteristics distributions and relationships between variables. Apply advanced analytical techniques to solve complex business problems and support strategic decision-making.

Data Visualization

Design and develop comprehensive reports interactive dashboards and visualizations using Power BI and Tableau to effectively communicate findings to stakeholders. Create executive-level presentations and summaries that translate technical analysis into clear actionable business insights. Ensure all visualizations are clear concise intuitive and tailored to the audiences level of technical understanding. Implement data visualization best practices including appropriate chart selection color schemes and user experience design. Build automated reporting solutions that provide real-time visibility into business performance and key metrics.

Business Intelligence

Develop and maintain business intelligence reports and dashboards to track key performance indicators (KPIs) metrics and operational performance. Analyze data to identify areas for improvement operational inefficiencies and opportunities for business growth and optimization. Monitor business trends and provide proactive insights that inform strategic planning and resource allocation. Support forecasting budgeting and planning processes through data-driven analysis and scenario modeling. Collaborate with business units to define metrics establish benchmarks and measure progress toward organizational goals.

Stakeholder Communication & Collaboration

Present findings insights and recommendations to stakeholders including executive leadership department heads and cross-functional teams through compelling presentations and reports. Collaborate with stakeholders across the organization to identify data needs understand business requirements and develop analytical solutions that address specific challenges. Translate business questions into analytical frameworks and communicate technical concepts in business-friendly language. Facilitate data-driven discussions and provide consultation on analytical approaches and interpretation of results. Build strong relationships with business partners to ensure analytics deliverables align with strategic priorities.

Tools and Technologies

Develop and maintain expertise in a comprehensive range of data analysis tools and technologies including Power BI Tableau Excel SQL Python (Pandas NumPy) and R. Leverage Python and R for advanced statistical analysis data manipulation and automation of analytical workflows. Utilize SQL to extract transform and analyze data from relational databases including MySQL PostgreSQL and MongoDB. Create complex Excel models and analyses using advanced functions pivot tables Power Query and VBA when appropriate. Stay current with emerging tools technologies and analytical methodologies to continuously enhance analytical capabilities and efficiency.

Quality Assurance & Data Governance

Ensure data accuracy completeness consistency and integrity by implementing rigorous quality control measures and validation procedures. Perform data cleaning transformation and standardization to prepare datasets for analysis and ensure reliable outputs. Identify and address data quality issues promptly through root cause analysis and implementation of corrective measures. Document data sources analytical methodologies assumptions and processes to ensure reproducibility and knowledge transfer. Establish and maintain data governance standards including naming conventions version control and access management. Conduct regular audits of data systems and analytical outputs to maintain high quality standards.

Required Qualifications

Education & Certifications

Bachelors degree in Data Science Statistics Computer Science Mathematics Business Analytics Economics or related quantitative field. Data Analysis certification required (examples: Microsoft Certified: Data Analyst Associate Google Data Analytics Certificate IBM Data Analyst Professional Certificate or equivalent recognized certification).

Technical Skills - Required

Power BI Expertise: Advanced proficiency in Microsoft Power BI including dashboard creation DAX calculations Power Query data modeling and interactive report design. Ability to build professional dashboards with complex visualizations that meet business requirements.

Programming & Statistical Analysis: Strong proficiency in Python with Pandas and NumPy for data manipulation cleaning and analysis OR equivalent proficiency in R for statistical computing and data visualization. Ability to write clean efficient well-documented code.

SQL Mastery: Advanced SQL skills for querying joining aggregating and manipulating data across relational databases. Experience writing complex queries including subqueries Common Table Expressions (CTEs) window functions and optimization techniques.

Excel Proficiency: Advanced Excel capabilities including pivot tables VLOOKUP/XLOOKUP INDEX-MATCH array formulas Power Query Power Pivot and advanced data analysis functions.

Database Management: Working experience with database management systems including MySQL PostgreSQL and MongoDB. Understanding of database structures data relationships and query optimization.

Data Visualization Tools: Proficiency in both Tableau and Power BI for creating compelling interactive visualizations and dashboards. Knowledge of visualization design principles and best practices.

Core Competencies

Analytical Excellence: Strong analytical and problem-solving abilities with capacity to work with large complex datasets and extract meaningful insights. Demonstrated expertise in statistical analysis hypothesis testing and data modeling.

Data Quality & Integrity: Meticulous attention to detail with commitment to data accuracy and quality assurance. Systematic approach to validation and error detection.

Critical Thinking: Ability to approach business problems analytically question assumptions and develop innovative data-driven solutions. Capacity to evaluate multiple approaches and select optimal methodologies.

Communication Skills: Exceptional ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences. Strong presentation skills with experience creating executive-level reports and visualizations.

Business Acumen: Understanding of business operations key performance indicators and how data analysis impacts organizational objectives. Ability to contextualize analysis within business frameworks.

Collaboration: Proven ability to work effectively with cross-functional teams and build productive relationships with stakeholders at all levels. Demonstrated success in understanding and meeting diverse business needs.

Time Management: Strong organizational skills with ability to manage multiple projects simultaneously prioritize effectively and meet deadlines in a fast-paced environment.

Preferred Qualifications

Masters degree in a quantitative field or MBA with analytics concentration. Additional certifications in SQL Python Tableau or advanced statistical methods. Experience with cloud platforms (Microsoft Azure AWS Google Cloud) and big data technologies. Knowledge of machine learning algorithms and predictive modeling techniques. Familiarity with ETL tools (Alteryx SSIS) and data integration platforms. Experience with version control systems (Git) and agile project management methodologies. Background in specific industries such as finance marketing healthcare retail or operations. Experience mentoring junior analysts or leading analytical initiatives.

Technical Environment

You will work with a comprehensive analytics technology stack including:

Databases: MySQL PostgreSQL MongoDB
Visualization: Power BI Tableau
Programming: Python (Pandas NumPy Matplotlib Seaborn) R (ggplot2 dplyr tidyr)
Spreadsheets: Microsoft Excel (advanced functions Power Query Power Pivot)
Collaboration: Microsoft Office Suite Teams SharePoint
Development: SQL Server Management Studio Jupyter Notebooks RStudio

What We Offer

Competitive salary commensurate with experience skills and certifications. Comprehensive benefits package including health dental vision insurance and retirement savings plan. Professional development opportunities including training budgets for certifications courses and conference attendance. Access to cutting-edge analytics tools technologies and platforms. Collaborative data-driven culture where analytical insights directly influence business strategy. Flexible work arrangements with remote/hybrid options available. Career advancement opportunities within a growing analytics organization. Mentorship from experienced data professionals and exposure to diverse analytical projects.

Location:

Scheduled Weekly Hours:

If this job description resonates with you we encourage you to apply even if you dont meet all of the requirements. Were 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 yourepursuing.

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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 . 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.