57 минут назад
Senior Data Analyst (AI)
85 200 - 145 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (AI) (Cloud Data Platform): Turning platform data into trustworthy analysis, reusable metrics, dashboards, and technical documentation with an accent on SQL, data quality, self-service, and AI-assisted workflows. Focus on tracing data from source to consumption, defining consistent metrics, resolving data issues with engineering, and enabling teams to answer their own questions.
Location: Remote, Texas, United States; open only to US-based candidates authorized to work in the United States.
Salary: USD 85,200–145,200 per year, with potential performance-based bonus.
Company
provides a cloud-native data platform for ingesting, governing, and serving data across the company.
What you will do
- Deliver data analysis that supports stakeholder decisions, including scoping questions, querying data, modeling results, and presenting recommendations.
- Develop deep knowledge of the platform’s data model and help consumers understand available data and how to use it.
- Define, validate, and maintain consistent metrics and definitions across the platform.
- Document data sources, schemas, metric definitions, query patterns, and reusable how-to guidance.
- Build queries, dashboards, and guides that enable self-service while profiling sources and resolving data-quality issues with data engineering.
- Use AI tools for analysis, SQL drafting, summarization, and documentation, and share effective practices with the team.
Requirements
- 5+ years of experience in data analysis, business intelligence, or a similar role.
- Strong SQL skills, including independently querying, joining, and modeling data in a cloud warehouse.
- Hands-on understanding of modern cloud data architectures, data pipelines, schemas, and data tracing from source to consumption.
- Strong technical writing skills for data dictionaries, metric definitions, runbooks, and how-to guides.
- Ability to validate data, explain assumptions, and communicate findings to technical and non-technical audiences.
- Must be based in the United States and authorized to work in the United States.
Nice to have
- Real estate or proptech experience, including property, leasing, or real estate data.
- Experience maintaining a data catalog, data dictionary, or metrics layer.
- Experience supporting internal consumers of a shared data platform.
- Familiarity with Python, dbt, version control, or documentation-as-code workflows.
Culture & Benefits
- Health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and holidays.
- Professional development opportunities.
- Potential performance-based bonus depending on the applicable plan and role.
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