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Real Estate Data Lead Analyst

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Own and steward enterprise real estate data, including definitions, lineage, and quality

  • Translate business needs into data definitions, source-of-record rules, and mappings

  • Use SQL to validate, reconcile, and troubleshoot data in SQL Server, Databricks, and Snowflake

  • Define data pipelines, integrations, and delivery schedules with Data Engineering and app teams

  • Investigate and resolve data-quality issues and escalate material risks

From the employer’s posting
Own and steward enterprise real estate data assets across the real estate lifecycle
translating business needs, processes, and rules into clear data definitions, defined source-of-record, data structures
Use SQL and enterprise data platforms to validate, reconcile, and troubleshoot data, including SQL Server, Databricks, and Snowflake
Work with Data Engineering and application teams to define and validate data pipelines, integrations, interfaces, APIs, batch processes, synchronization schedules
Monitor and resolve data-quality and delivery issues, investigating discrepancies and root causes

What you’ll bring

All qualifications

Preferred experience

  • 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.
Qualification wording
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.
Education & alternatives
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.

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 20267 days ago
Recorded sightings
10
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Databricks
  • Power BI
  • Snowflake
  • SQL Server
Where the posting names them
- 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.
- 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.
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.

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About the role

We file this job under Data Governance, by the work the posting describes.

Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.

Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.

A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.

Job description

View original posting ↗

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:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Complete physical activity inventory of the position includes:

  • 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 work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Working conditions inventory of the position includes:

  • 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. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.


#LI-HH1


 

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.  Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. 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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Nonstore B152 Charlotte NC

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