(Senior) Corporate Data Analyst

Role overview

The (Senior) Corporate Data Analyst will support the creation of a new internal data warehouse by pulling, analyzing, and presenting key business data to stakeholders. You will manage ongoing BI development and act as a primary owner for company-wide data warehouse availability and maintenance.

Responsibilities

• Develop, manage, and optimize BI solutions, including data models, dashboards, and reports.
• Own the company data warehouse: maintenance, system/data availability, and coordination of data integration engineers when needed.
• Partner with cross-functional stakeholders to gather and document requirements for BI projects, enhancements, and reporting.
• Use data visualization and statistical analysis to present insights in a clear, meaningful way.
• Apply data analysis techniques to identify patterns and trends.
• Build and reconcile reports to source/system data on regular cadence and ad-hoc requests.
• Maintain documentation for data sources, models, and processes.
• Provide training and support to end users on BI tools and reports.
• Stay current with BI trends and best practices.
• Apply basic development skills with Python and SQL to extract insights (finance, business operations, etc.).
• Use ticketing/project management tools to track deadlines and progress.

Requirements

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

Preferred qualifications

• Experience with Databricks and ThoughtSpot (and other data lake/warehouse/analytics tools).

Benefits (highlights)

• Bonus eligibility and competitive medical, dental, and vision benefits.
• Wellness reimbursement, life insurance, and 401(k) match (up to 4%).
• Flexible time off (with sick leave) and paid holidays.
• Hybrid work by default, with many eligible for fully remote.
• Additional benefits including EAP, education assistance, and family leave options.