Hybrid Data Analyst

Posted 2 hours ago

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About the role

  • Design, develop, and maintain interactive Power BI dashboards and semantic data models supporting global GTM reporting (bookings, pipeline, marketing, and renewals).
  • Partner cross-functionally with key stakeholders across Sales, Marketing, Customer Success, and Finance to translate business requirements into scalable technical specifications.
  • Develop and optimize SQL queries and Snowflake views to ensure accuracy and performance.
  • Write and maintain Python scripts for data transformations, enrichment, and process automation.
  • Manage and enhance Power BI datasets, refresh schedules, and workspace governance.
  • Troubleshoot and resolve data quality issues across Salesforce, Snowflake, and Power BI.
  • Contribute to data governance, documentation, and version control practices.
  • Leverage and implement AI-assisted analytics tools such as Power BI Copilot or similar to accelerate insight generation and enable self-service analytics for business users.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field (or equivalent experience).
  • Proven experience as a Data Analyst building end-to-end Power BI solutions.
  • Strong proficiency in Power BI (DAX, Power Query, Power Automate, data modeling).
  • Advanced experience with SQL for complex query building, joins, and optimization (Snowflake preferred).
  • Hands-on experience with Python for data processing, automation, or API integration.
  • Working knowledge of ETL / data pipeline tools (dbt, Rivery, or Azure Data Factory).
  • Familiarity with Salesforce data structures and GTM metrics (bookings, ARR, churn, pipeline).
  • Experience owning and optimizing data models and semantic layers across BI and warehouse environments.
  • Excellent analytical thinking, communication, and collaboration skills.
  • Power BI certification or equivalent experience preferred.
  • Experience with Power BI Copilot (or other AI assisted reporting) a plus.

Benefits

  • Health insurance
  • Retirement savings plans
  • Generous paid time off
  • Supportive work-life balance

Job title

Data Analyst

Job type

Experience level

Mid levelSenior

Salary

$60,000 - $80,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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