Senior Business Intelligence Analyst, Instacart

• 5+ years of hands-on experience in BI, Data Science, or Data engineering
• Bachelor’s Degree or equivalent
• AdvancedSQL experience and dashboard building
• Highly effective written and verbal communication skills
• Proven ability to prioritize work and deliver finished products on tight deadlines
• Ability to communicate and coordinate with cross-functional teams, gather information, perform root cause analysis, and recommend solutions to business problems
• Positive attitude and enthusiasm for Instacart, your team, partners, and stakeholders

Desirable

• We are looking for an exceptional Senior Business Intelligence Analyst to help build and manage robust data models, leverage data visualization tools to create dashboards, and partner closely with cross functional teams to design data solutions needed to enable financial reporting and operations
• You will be joining the Financial Systems Analytics team, which sits within the Finance department at Instacart
• This team is responsible for ensuring financial data is accessible, complete, accurate, and timely for downstream consumers
• As part of the team, you will be a key contributor in enabling financial data reporting, analysis, and other critical business operations within Instacart
• Build and regularly maintain data pipelines and models critical to Instacart’s business operation, including those used for financial reporting and analysis
• Partner closely with Accounting, Strategic Finance, Data Science, and other teams across the company to understand their most complex problems and develop effective data solutions, including definition and development of supporting data models and architecture
• Contribute to the optimization, documentation, testing, and tooling efforts aimed at improving data quality and empowering data consumers across the organization
• Regularly communicate progress, risks, and completion of projects with stakeholders, teammates, and management
• Work closely with the Product, Data Engineering, and Business Development teams to stay current on the latest product rollouts and their data and financial impacts
• Promote and drive a self-service data culture by developing self-service data models, building easy-to-use tools and dashboards, and teaching business users how to use them