Senior Analytics Engineer

The Senior Analytics Engineer will join Inland’s Enterprise Analytics team in Oak Brook, IL (onsite), leading analytics strategy and the Atlas Data Foundation Program. The role focuses on governed, AI-ready analytics through scalable data pipelines, semantic models, certified datasets, and enterprise reporting built with Microsoft and Azure technologies.

Location and Compensation

Location: Oak Brook, IL (onsite)

Annual Base Salary: USD 126,580 - 164,554

This position is eligible to participate in the company’s annual discretionary bonus program.

Key Responsibilities

• Act as a lead analytics partner for the Atlas Data Foundation Program, translating governed data domains into trusted reporting assets.
• Collaborate with stakeholders across investment management, finance, asset management, property management, leasing, and investor relations to define and measure key business outcomes.
• Contribute to Inland’s Enterprise Analytics roadmap by evaluating data sources, APIs, and emerging technologies.
• Participate in architecture reviews, platform decisions, system migrations, and enterprise-wide data initiatives.
• Design, develop, and maintain scalable data ingestion pipelines into a centralized enterprise reporting environment.
• Build and support integrations with internal applications and third-party data providers using REST and SOAP APIs.
• Create and optimize dimensional data models, semantic layers, and enterprise reporting structures.
• Develop ETL/ELT processes and maintain data reliability through monitoring, troubleshooting, and performance optimization.
• Work extensively within the Microsoft and Azure ecosystem, including Microsoft Fabric, OneLake, Azure Data Factory, Azure Synapse, and Azure Storage.
• Design and manage enterprise dashboards and visualizations to support business insights.
• Establish reporting standards and best practices across the organization.
• Support self-service analytics through certified datasets, reusable templates, governance controls, and user enablement.
• Prepare enterprise data models for AI-driven analytics and natural language querying.
• Support and enhance conversational analytics initiatives, including Copilot in Power BI.
• Automate recurring reporting processes, investor reporting workflows, and data validation activities.
• Explore predictive analytics and machine learning opportunities, including forecasting and revenue optimization models.

Required Qualifications

• Education: Bachelor’s degree
• Required degree area: Computer Science, Engineering, Mathematics, Physics, Finance, Economics, or a related discipline
• Advanced Power BI and data visualization expertise.
• Strong SQL and T-SQL development skills.
• Dimensional modeling, semantic layer design, and enterprise data warehousing experience.
• Experience developing REST and SOAP API integrations.
• Experience with Azure Data Factory, Azure Synapse, Azure Storage, ETL/ELT pipeline design, and orchestration.
• Knowledge of data governance, stewardship, quality, and information security practices.
• Practical experience with Microsoft Copilot and AI-enabled analytics solutions.
• 8+ years of progressive experience in business intelligence, analytics engineering, data engineering, or related disciplines.
• 4+ years of hands-on Power BI experience, including semantic modeling, advanced DAX, and workspace administration.
• 3+ years of experience in commercial real estate, investments, private equity, financial services, or related industries.
• 2+ years of experience developing and maintaining API-based integrations and cloud data pipelines.

Technologies

• Microsoft Fabric
• OneLake
• Azure Data Factory
• Azure Synapse
• Azure Storage
• Power BI
• DAX
• REST
• SOAP
• Microsoft Copilot
• ETL/ELT
• Copilot in Power BI

Preferred Qualifications

• Microsoft Fabric, OneLake, Lakehouse, Direct Lake, and Fabric administration.
• Python for data engineering, analytics, and machine learning.
• Snowflake or Databricks experience.
• Tableau experience.
• Data catalog and governance platforms such as Microsoft Purview or OvalEdge.
• Power Automate, Copilot Studio, or workflow automation platforms.
• Git, Azure DevOps, and analytics deployment pipelines.
• Master data management and entity resolution.
• Experience with DealCloud, Yardi, Salesforce, or HubSpot.

Benefits

• Medical/Dental/Vision insurance (PPO)
• Participation in the company 401(k) plan with a company match
• Vacation Time, Nine Paid Holidays, Three floating holidays per year
• Sick time
• Tuition reimbursement opportunity
• Company-paid life insurance equaling your annual base salary
• Company-paid short-term and long-term disability
• Paid Parental Leave

Equal Employment Opportunity and Hiring Process

• We are a drug-free workplace. Pre-employment background checks and drug screening are conducted for all new hires in accordance with applicable laws and regulations.
• Inland is committed to equal employment opportunity and considers applicants for all positions without regard to race, color, religion, sex, national origin, age, sexual orientation, familial status, marital status, veteran status, disability, or any other status protected by applicable law.
• If you require a reasonable accommodation or an alternative method of assessment during any stage of the recruiting process, please contact our Talent Acquisition team at [email protected].