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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in SQL and Databricks for building actionable reports and dashboards, with a strong focus on data quality and documentation. Capable of collaborating with business teams to translate requirements into effective data assets and leveraging AI tools for query optimization.
Highest-signal resume keywords
SQL ProficiencyDatabricks ExperienceDashboard DevelopmentData DocumentationCommunication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLDatabricksDashboard DevelopmentData ValidationData Quality MonitoringMetadata ManagementPythonPySparkAnalytics EngineeringVersion Control
Soft Skills
Detail-OrientedWritten CommunicationVerbal Communication
Tools & Technologies
TableauPower BILookerAI Coding Agents
Industry Keywords
Business IntelligenceReportingData AnalystEnterprise SoftwareSaaSCybersecurity
Tech Stack
Tools & technologiesCloudCyber SecurityPySparkPythonSQLTableau
About the role
Key responsibilities & impact- Turn operational and customer data into actionable reports and dashboards that drive business decisions
- Partner with internal business teams, such as sales compensation, to gather reporting requirements
- Document technical specifications
- Build user-friendly data assets
- Write SQL views and build dashboards directly within Databricks using engineering-populated data
- Add structured descriptions and metadata to tables, views, and columns so data is discoverable and accurately queried by AI tools such as Claude
- Validate report accuracy
- Monitor data quality
- Maintain documentation of reporting logic for long-term reliability
- Build and scale the business reporting layer within Databricks
- Leverage AI coding agents such as Databricks' Genie or Claude to assist in writing and optimizing queries
Requirements
What you’ll need- 2 to 4 years of experience in a business intelligence, reporting, or data analyst role
- Fundamental working proficiency in SQL, including select statements, order of operations, joins, aggregations, and filtering
- Basic to working proficiency with Databricks, a comparable lakehouse, or cloud data platform such as Snowflake
- Experience building dashboards and presenting data visually using Databricks native dashboards, Tableau, Power BI, or Looker
- Strong written and verbal communication skills to gather requirements from non-technical business stakeholders and translate them into usable data assets
- Detail-oriented mindset with comfort documenting data objects, definitions, and logic for downstream users
- Prior experience writing table and column descriptions or metadata to support data catalogs, semantic layers, or natural language query tools is ideally desired
- Exposure to Python or PySpark within Databricks notebooks is ideally desired
- Familiarity with analytics engineering practices such as dbt, or version control systems like Git is ideally desired
- Experience working in enterprise software, SaaS, or cybersecurity environments is ideally desired
Benefits
Comp & perks- Variable compensation bonus for non-sales roles, depending on company and individual performance
- Medical insurance
- Dental insurance
- Vision insurance
- Disability insurance
- Life insurance
- 401(k) retirement savings with company match
- Employee stock purchase plan
- Employee referral program
- Flexible spending accounts
- Employee Assistance Program (EAP)
- Education assistance
- Parental leave
- Paid time off (PTO)
- Company-paid holidays
- Health and wellness events
- Community programs
