Data Engineer developing data products and solutions for agricultural and trading analytics. Collaborating with teams to maintain pipelines and improve data processes in cloud environments.
About the role
- Data Analyst within Revenue Operations designing scalable reporting and data solutions. Leveraging Power BI and SQL to support actionable insights for sales, marketing, and customer success teams.
Responsibilities
- 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
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