3 дня назад
Data Analyst (SQL/Databricks)
72 500 - 96 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (SQL/Databricks) (Business Intelligence/Cybersecurity): Building SQL views, dashboards, and a reliable reporting layer in Databricks from operational and customer data with an accent on data quality, documentation, and context engineering. Focus on translating business requirements into usable data assets, enriching metadata for AI querying, and validating reporting accuracy.
Location: Remote in the United States; headquarters in Columbia, Maryland.
Salary: $72,500–$96,500 USD per year, plus potential variable compensation.
Company
provides exposure management and cybersecurity solutions used by organizations worldwide.
What you will do
- Build and scale the business reporting layer in Databricks.
- Write SQL views and create dashboards from operational and customer data.
- Gather reporting requirements from business stakeholders and document technical specifications.
- Add structured descriptions and metadata to tables, views, and columns to improve data discovery and AI-assisted querying.
- Validate report accuracy, monitor data quality, and maintain reporting logic documentation.
- Use AI coding agents such as Databricks Genie or Claude to assist with query development and optimization.
Requirements
- 2–4 years of experience in business intelligence, reporting, or data analysis.
- Working knowledge of SQL, including joins, aggregations, filtering, and query order of operations.
- Basic to working proficiency with Databricks, a comparable lakehouse, or a cloud data platform such as Snowflake.
- Experience building dashboards with Databricks native dashboards, Tableau, Power BI, or Looker.
- Strong written and verbal communication skills for working with non-technical stakeholders.
- Ability to document data objects, definitions, and reporting logic accurately.
Nice to have
- Experience documenting table and column metadata for data catalogs, semantic layers, or natural-language query tools.
- Exposure to Python or PySpark in Databricks notebooks.
- Familiarity with dbt, Git, analytics engineering, enterprise software, SaaS, or cybersecurity.
Culture & Benefits
- Globally distributed data organization with a collaborative, business-facing environment.
- Medical, dental, vision, disability, and life insurance.
- 401(k) retirement savings with company match and employee stock purchase plan.
- Paid time off, company-paid holidays, parental leave, and flexible spending accounts.
- Education assistance, employee assistance, wellness events, and community programs.
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