Real Estate Data Lead Analyst

About the role

The Real Estate Data Lead Analyst reports to the Real Estate Strategy & Systems Senior Manager and serves as the primary owner of enterprise real estate data assets.

The role is responsible for developing a complete understanding of where real estate data resides, how it is created and updated, which systems are authoritative sources of record, and how data flows across applications, integrations, databases, and analytical platforms.

The position acts as the principal liaison between business and process owners, Enterprise Architecture, Data Engineering, application teams, implementation partners, and reporting teams to translate business needs into clear data requirements and ensure that trusted, governed, and timely data is delivered as expected.

Essential Duties

The position includes, but is not limited to, the following essential job duties, responsibilities and requirements:

• Own and steward enterprise real estate data assets across the real estate lifecycle, ensuring clear business definitions, ownership, authorized use, documentation, quality, lineage, update cadence, and ongoing fitness for purpose.
• Maintain a comprehensive understanding of the real estate data landscape, including where data originates, systems of record, data owners and stewards, critical data elements, dependencies, transformations, integrations, and how data moves across enterprise applications, databases, and platforms.
• Partner with business and process owners to define data requirements, translating business needs, processes, and rules into clear data definitions, defined source-of-record, data structures, transformation and integration requirements, delivery expectations, and reconciliation criteria.
• Serve as the primary liaison between business and technical teams, including Real Estate stakeholders, Enterprise Architecture, Data Engineering, application teams, reporting and analytics teams, vendors, and implementation partners, ensuring data requirements are clearly understood, delivered, validated, and sustained.
• Establish and maintain data governance, quality, and documentation, including data dictionaries, metadata, lineage, source-to-target mappings, critical data elements, validation rules, completeness and timeliness standards, stewardship responsibilities, access requirements, and reconciliation procedures.
• Ensure data is reliably available to authorized consumers through the appropriate systems and platforms, within required timeframes, and in the defined structure and format needed to support business processes, decision-making, reporting, and analysis. Work with Data Engineering and application teams to define and validate data pipelines, integrations, interfaces, APIs, batch processes, synchronization schedules, delivery mechanisms, and operational ownership.
• Use SQL and enterprise data platforms to validate, reconcile, and troubleshoot data, including SQL Server, Databricks, and Snowflake. Develop and maintain appropriate queries, scripts, tables, views, and other approved data structures needed to investigate issues, validate data, and confirm that data is delivered according to defined requirements.
• Support data-related implementations, integrations, migrations, and system changes by defining and validating data profiling, cleansing, conversion, source-to-target mapping, testing, reconciliation, acceptance, cutover, and production requirements, and coordinating with delivery teams responsible for engineering and execution.
• Monitor and resolve data-quality and delivery issues, investigating discrepancies and root causes, coordinating remediation, and escalating material risks affecting business processes, integrations, downstream consumers, reporting, or analytics.
• Support the enterprise real estate technology ecosystem and continuous improvement, including Kalibrate, Mendix, Construction Management platform, SQL Server, Databricks, Snowflake, and related applications, by ensuring data ownership, quality, integration, governance, delivery, and lifecycle expectations are clearly defined and maintained.
• Perform additional tasks, as assigned.

Job Requirements

• Bachelor's degree required. Major in Data Analytics, Information Systems, Computer Science, Business, Real Estate, or a related field.
• Minimum of 3+ years of experience in data analysis, data management, business analysis, data governance, or a similar role supporting enterprise data environments.
• Strong SQL proficiency, with experience querying, validating, reconciling, and troubleshooting data across enterprise databases and platforms.
• Working knowledge of data governance, data quality, data lineage, metadata, data ownership, and source-of-record concepts.
• Experience translating business and process needs into clear data requirements, definitions, mappings, and validation criteria.
• Strong understanding of data integration and data flow concepts, including APIs, interfaces, pipelines, batch processes, and data movement across systems.
• Strong analytical, problem-solving, organizational, and communication skills with excellent attention to detail.
• Comfortable working independently and collaboratively with business stakeholders, technical teams, vendors, and cross-functional partners.

Preferred Qualifications

• Experience with enterprise data, analytics, and reporting platforms such as Databricks, Snowflake, SQL Server, Alteryx, Power BI, and related technologies
• Experience supporting data integrations, migrations, system implementations, testing, reconciliation, and production deployment.
• Experience with enterprise data governance or data quality programs.
• Experience with real estate, construction, development, or related business processes.
• Experience with geospatial, real estate or construction technology platforms such as Kalibrate, Mendix, Etc.
• Experience working in an enterprise environment with Data Engineering, Enterprise Architecture, application, and reporting/analytics teams.
• 5+ years of relevant experience in data management, data analysis, business analysis, or a related field.

Physical Requirements

• Work requires frequent sitting, standing, walking and use of keyboard/computer.
• Work requires occasional bending, reaching and lifting/moving up to 35 pounds.
• Work is subject to tight deadlines and interruptions can be stressful.
• Travel to store locations as necessary.
• Sit for long periods of time.
• Operate computer keyboard and mouse for data entry.
• View computer monitor
• Hear and speak via telephone.
• Reach forward and/or overhead.

Work Environment

• The noise level in the work environment is usually moderate at a normal range.
• The lighting will include natural light from the outside as well as fluorescent lighting throughout the work areas.
• Work with minimum direction and periodic supervision.

Job Description Acknowledgment

This Job Description indicates the general nature and level of work to be performed in this position and it is not intended to contain or be interpreted as a comprehensive inventory of all the duties, responsibilities, functions and qualifications required of the position. The incumbent may be asked to perform other duties and will be evaluated, in part, on performance of the tasks listed in this job description.

As with all positions, the responsibilities and duties of this position may change. The Company reserves the right to revise this Job Description at any time with or without notice. This Job Description does not constitute a contract for employment and either the incumbent or the Company may terminate employment at any time, for any reason, with or without notice.

Circle K is an Equal Opportunity Employer.

The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Please inform the Company's Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.

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