(Senior) Corporate Data Analyst

Role overview

The (Senior) Corporate Data Analyst will partner with stakeholders across the business to support the creation of a new internal data warehouse. You’ll manage the process of pulling, analyzing, and presenting key business data in an easily digestible way.

Responsibilities

• Develop, manage, and optimize BI solutions, including data models, dashboards, and reports
• Act as owner of the company-wide data warehouse: maintenance, availability, and coordination with data integration engineers when needed
• Gather and document BI requirements with cross-department stakeholders for projects, enhancements, and reporting
• Use data visualization and statistical analysis to present meaningful insights to stakeholders
• Apply data analysis techniques to identify patterns, trends, and actionable information
• Build and reconcile regular-cadence and ad-hoc reports against system data
• Maintain documentation for data sources, models, and processes
• Train and support end-users on BI tools and reports
• Stay current on BI industry trends and best practices
• Use basic development skills with Python and SQL to extract insights (e.g., finance and business operations)
• Use problem-solving to deliver recommendations to leadership and stakeholders
• Use ticketing and project management software to manage deadlines and communicate progress

Requirements

• Bachelor’s degree or equivalent experience in Computer Science, Data Analysis, or a business-related field
• Corporate Data Analyst: 1+ years experience with analytics, reporting, and dashboard building
• Senior Corporate Data Analyst: 3+ years experience providing analytics and reporting to leadership/executives
• Strong technical experience with Python and SQL for data manipulation
• Superior communication skills
• Strong project ownership, attention to detail, and ability to be a self-starter
• Knowledge/experience with data pipelines and ETL processes
• Experience working with data engineers and understanding technical requirements

Preferred qualifications

• Experience with Databricks, ThoughtSpot, and other data lake/warehouse and analytics tools

Benefits (highlights)

• Eligible for a bonus plus medical, dental, vision benefits
• Wellness reimbursement, life insurance, and 401(k) match
• Flexible time off (plus paid holidays where available)
• Hybrid role with many eligible for remote work
• Additional family leave, education assistance, EAP, and other insurance/savings options