OverviewWe are building a cloud-native data platform that ingests, governs, and serves data to teams across the company. We are looking for a Senior Data Analyst who can turn that data into clear, trustworthy answers — and document it well enough that others can reuse the work. You will sit close to the platform and its consumers, analyzing data to drive decisions while writing the queries, definitions, and guides that make the platform easier for everyone to use.
This role blends deep analytical work with strong technical writing. You will not only produceanalysis,you willdocument data sources, metrics, and how-to guidance so that self-serviceactually works. We move fast and use AI as a normal part of the job, so we want someone whoreaches forthose tools to raise the quality and speed of their work.
Responsibilities
What You'll Do
- Deliver analysis that drives decisions —scope questions with stakeholders, pull and model data from the platform, and turn it into clear findings and recommendations.
- Be the go-to expert on the platform's data — develop deep knowledge of the data model, the data it holds, and the platform's capabilities, and answer questions from consumers about what data exists, what it means, and how to use it.
- Own metrics and definitions — define,validate, andmaintainthe key metrics teams rely on, and keep them consistent across the platform.
- Write technical documentation — document data sources, schemas, metric definitions, and query patterns so consumers can find and trust the data without a meeting.
- Enable self-service — build reusable queries, dashboards, and how-to guides that let other teams answer their own questions.
- Safeguard data quality — profile new and existing sources, flag anomalies, and partner with data engineering to resolve issues at the source.
- Be a bridge to the platform — translate consumer needs into feedback for the platformteam, andhelp onboard teams onto new data as it lands.
- Work AI-forward — use AI tools as a default part of how you analyze, draft SQL, summarize findings, and produce documentation — and share what works with the team.
Qualifications
What We're Looking For
- 5+ years in data analysis,business intelligence, or a similar role delivering analysis that shaped real decisions.
- Strong SQL — you can independently query, join, and model data in a cloud warehouse; comfort with a scripting language such as Python is a plus.
- Data platform fluency — hands-on understanding of modern cloud data architectures, data pipelines, and schemas; able to trace data from source to consumption,identifydata issues, and partner effectively on technical solutions.
- Technical writing skills — you write clear, well-organized documentation — data dictionaries, metric definitions, runbooks, and how-to guides — that non-experts can follow.
- Rigor and clarity — youvalidateyour numbers, explain your assumptions, and communicate findings simply to technical and non-technical audiences.
- AI-forward mindset — you actively use AI tools to do your best work and raise your leverage, and you stay current as the tooling evolves.
- US-based — authorized to work in the United States; this role is open to US-based candidates.
Nice to Have
- Real estate / proptech experience —familiarity with property, leasing, or real estate data is desired but notrequired.
- Experience standing up or maintaining a data catalog, data dictionary, or metrics layer.
- Experience supporting internal consumers of a shared data platform.
- Familiarity with dbt, version control, or documentation-as-code workflows.
How We'll Measure Success
Analysis that stakeholders act on, delivered accurately and on time.
A well-documented, trusted set of metrics and data sources that others reuse.
Growth in self-service — teams answering their own questions from your guides and queries.
Faster, higher-quality output through effective use of AI tools.
SALARY AND BENEFITSRealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
- 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.
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. Pay RangeUSD $85,200.00 - USD $145,200.00 /Yr.
