Senior Data Analyst, Lumina Data Platform

RealPage, Inc.

. Scope questions with stakeholders, pull and model data from the platform, and deliver clear findings and recommendations.

Posted 10/7/2026full-timeRemote • Texas • United StatesSenior💰 $85,200 - $145,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and business intelligence, with strong SQL skills for querying and modeling data in cloud environments. Proficient in technical writing and effective communication of findings to diverse audiences.

Highest-signal resume keywords

SQL ProficiencyData Analysis ExperienceTechnical Writing SkillsCloud Data Architecture KnowledgeAI Tool Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLData ModelingData ValidationData ProfilingData PipelinesTechnical DocumentationMetric DefinitionScripting (Python)Data Catalog Maintenance

Soft Skills

Effective CommunicationStakeholder EngagementProblem SolvingCollaboration

Tools & Technologies

Cloud Data WarehouseAI ToolsDbtVersion ControlDocumentation-as-Code Workflows

Industry Keywords

Business IntelligenceReal Estate DataData DictionaryMetrics Layer

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Scope questions with stakeholders, pull and model data from the platform, and deliver clear findings and recommendations.
Develop deep knowledge of the platform’s data model, data, and capabilities.
Answer consumer questions about available data, its meaning, and how to use it.
Define, validate, and maintain key metrics and keep them consistent across the platform.
Document data sources, schemas, metric definitions, and query patterns.
Build reusable queries, dashboards, and how-to guides to enable self-service.
Profile data sources, flag anomalies, and partner with data engineering to resolve issues at the source.
Translate consumer needs into feedback for the platform team and help onboard teams onto new data.
Use AI tools to analyze, draft SQL, summarize findings, and produce documentation; share effective practices with the team.

Requirements

What you’ll need

5+ years in data analysis, business intelligence, or a similar role delivering analysis that shaped real decisions.
Strong SQL; ability to independently query, join, and model data in a cloud warehouse.
Comfort with a scripting language such as Python is a plus.
Hands-on understanding of modern cloud data architectures, data pipelines, and schemas.
Ability to trace data from source to consumption, identify data issues, and partner effectively on technical solutions.
Technical writing skills, including data dictionaries, metric definitions, runbooks, and how-to guides.
Ability to validate numbers, explain assumptions, and communicate findings to technical and non-technical audiences.
Active use of AI tools and willingness to stay current as tooling evolves.
Authorized to work in the United States.
US-based; role open to US-based candidates.
Familiarity with property, leasing, or real estate data is desired but not required.
Experience standing up or maintaining a data catalog, data dictionary, or metrics layer is a plus.
Experience supporting internal consumers of a shared data platform is a plus.
Familiarity with dbt, version control, or documentation-as-code workflows is a plus.

Benefits

Comp & perks

Health, dental, and vision insurance.
Retirement savings plan with company match.
Paid time off and holidays.
Professional development opportunities.
Performance-based bonus based on position.
Additional rewards, including annual bonus and sales incentives, depending on the applicable plan, role, and individual performance.