> Markdown version of [/jobs/ext/3539101-senior-analytics-engineer-enterprise-analytics](https://www.wearedevelopers.com/jobs/ext/3539101-senior-analytics-engineer-enterprise-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analytics Engineer, Enterprise Analytics - **Company:** Inland Real Estate Corporation - **Location:** Oak Brook, IL, United States - **Experience:** Expert - **Salary:** $126,580.0 - $164,554.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Database, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Dimensional Modeling, Information Security Management, Machine Learning, Performance Tuning, Power BI, Standard Sql, Salesforce.Com, Systems Integration, Tableau (Software), Transact-SQL, Web Services, Enterprise Data Management, Microsoft Power Automate, Azure Data Factory, Delivery Pipeline, Snowflake, SOAPAPI, Git, Data Layers, Microsoft Fabric, Information Technology, Data Analytics, Enterprise Integration, Data Management, Hubspot, Api Design, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** September 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=de1d075b9f067a1b ## About the Role * Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, Finance, Economics, or a related discipline required. * Master's degree in Data Science, Analytics, Finance, or a related field preferred., * 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. Technical Expertise Required * Advanced Power BI and data visualization expertise. * Strong SQL and T-SQL development skills. * Dimensional modeling, semantic layer design, and enterprise data warehousing experience. * REST and SOAP API integration development. * Azure Data Factory, Azure Synapse, Azure Storage, ETL/ELT pipeline design, and orchestration. * Data governance, stewardship, quality, and information security practices. * Practical experience with Microsoft Copilot and AI-enabled analytics solutions. Preferred * 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. ## Description As a key contributor to Inland's Atlas Data Foundation Program, you will design data pipelines, build semantic models, develop certified datasets, and create enterprise reporting solutions that empower business leaders to make informed decisions. This is an opportunity to help shape Inland's analytics strategy while working with cutting-edge Microsoft and Azure technologies. If you are passionate about data architecture, analytics innovation, and leveraging AI to drive business value, we want to hear from you. What You'll Do Enterprise Analytics & Strategy * Serve 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. * Help shape 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. Data Engineering & Integration * 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 through REST and SOAP APIs. * Create and optimize dimensional data models, semantic layers, and enterprise reporting structures. * Develop ETL/ELT processes and ensure 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 technologies. Analytics & Self-Service Reporting * Design and manage enterprise dashboards and visualizations that drive 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. AI & Analytics Automation * 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. ## Related Videos - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [OLAP for AI Applications and why you should care](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Stop Committing Your Secrets - GIt Hooks To The Rescue!](https://www.wearedevelopers.com/videos/573-stop-committing-your-secrets-git-hooks-to-the-rescue) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)