15 Allied Data Analyst Jobs Hiring Near You

Area of Work 1: Enterprise Data Architecture and Platform Evolution

• Continue to evolve and scale Allied's enterprise data platform built on Microsoft Fabric, Power Platform, and Power BI, ensuring it remains secure, performant, and aligned with business needs.
• Maintain and advance the target-state architecture, standards, and technology stack; update roadmaps and reference designs as the platform matures.
• Optimize existing data pipelines and ingestion processes from Yardi, Excel, and other operational sources into Fabric.
• Evaluate and implement modern data tools that fit our Microsoft-centric ecosystem while remaining open to complementary solutions (e.g., AWS services, Amazon QuickSight) when they offer faster deployment or better fit.
• Define and enforce standards for documentation, testing, monitoring, and ongoing platform evolution.

Area of Work 2: Data Integration and Engineering

• Own and improve data integration across Yardi ERP, Microsoft services (Power Platform, Fabric, SharePoint, Power BI), smart building systems (BAS, access control, IoT), and third-party applications.
• Build on the streamlined Yardi data extraction and SQL query processes already in place; continue to improve efficiency and reliability.
• Develop and maintain Power Apps for data ingestion and Power BI dashboards for data delivery, building on existing solutions.
• Lead the transition of Yardi reports into Power BI, working closely with end users to manage change and ensure adoption. This requires someone who can introduce new reporting approaches in a way that teams can absorb.
• Work with stakeholders to prioritize new ingestion pipelines, data products, and real-time analytics capabilities.
• Champion data quality, security, lineage, cataloging, and observability; optimize performance and cost of cloud services.

Area of Work 3: Data Governance and Data Modelling

• Work closely with the Data Governance Committee and Data Stewards to advance Allied's Data Governance framework, including data ownership, access controls, sensitivity classification, and retention requirements.
• Continue building and refining the enterprise Data Model so the organization has a clear understanding of what data exists, who owns it, and how it should be managed.
• Champion data quality and ensure governance practices are practical, sustainable, and adopted across the business.
• Support data retention and lifecycle management initiatives.

Area of Work 4: AI Enablement and Innovation

• Connect Allied's data solutions with AI investments, ensuring all AI solutions are built on top of reliable, governed data.
• Advance the integration of Data Agents with Microsoft Copilot Studio Agents and other AI tools.
• Collaborate across departments (Finance, Leasing, Portfolio Operations, and beyond) to unlock data-driven insights and faster decision-making.
• Drive innovation by proposing new data products, real-time analytics, self-service BI experiences, and creative approaches to solving business problems.
• Test and evaluate emerging platforms and tools (e.g., Amazon QuickSight, new Fabric capabilities) for faster or more effective solution delivery.

Other duties as assigned.

Who You Are

• A builder who can pick up and scale: You are comfortable inheriting an existing platform and making it better. You do not need to start from zero to be effective.
• An integration expert: You know how to wrangle complex source systems (ERP, IoT, APIs) into cohesive and accessible data ecosystems.
• A Microsoft power user: You are fluent in the Microsoft data stack (Fabric, Power BI, Power Platform, Azure data services) and can work with complementary tools when needed.
• AI-savvy: You understand how AI depends on reliable data and can connect data platforms with AI tools like Microsoft Copilot Studio and Data Agents.
• A change agent: You can introduce new ways of working (like transitioning reports from legacy systems to Power BI) in a way that people can accept and adopt.
• A communicator and collaborator: You speak both tech and business, translating needs into architecture and outcomes into value.
• A problem-solver and innovator: You come up with new ideas and have the technical depth to tackle the most complex challenges.

Must Have

• 5+ years designing, implementing, and evolving enterprise data platforms (data lakes, warehouses, large-scale pipelines) and preparing data for advanced analytics and AI workloads.
• Deep expertise with the Microsoft data and AI stack (Fabric, Power Platform, Power BI, Azure data/compute services) with ability to configure AI compute and optimize storage.
• Solid grasp of machine-learning fundamentals, large-language models (LLMs), and generative AI concepts; able to adapt to meet the requirements of Allied's use cases.
• Experience with data governance frameworks, data modelling, metadata management, and working with governance committees or data stewards.
• Advanced SQL and at least one programming language (e.g., Python, Scala).
• Proven track record integrating ERP data, ideally Yardi or similar real-estate/financial systems.
• Experience transitioning reporting from legacy systems to modern BI platforms, including managing the change with end users.
• Proven ability to lead data projects through full lifecycle within a formal PMO/SDLC framework, delivering under Agile, Waterfall, and Hybrid methodologies.
• Strong communication skills to translate business needs into technical and AI-driven solutions.
• Ability to work independently, come up with creative solutions, and handle complex technical challenges with minimal direction.

Would Be an Asset

• Experience ingesting and modelling IoT or BAS data (HVAC, access control, sensors).
• Hands-on experience with Microsoft Copilot Studio, AI Agents, or similar AI orchestration tools.
• Experience with Amazon QuickSight or other cloud-based BI/analytics platforms.
• Working knowledge of MLOps practices (versioning, CI/CD, feature stores, model monitoring).
• Real-estate or property-management industry experience.
• Experience with change management or user adoption strategies for new technology solutions.
• Professional certifications (e.g., Microsoft Certified: Azure Data Engineer, TOGAF, DAMA DMBOK).