Sr. Analyst, Business Intelligence & Analytics
Reporting to the Director of Business Intelligence & Analytics, the Sr. Analyst, Business Intelligence & Analytics will assist with design and implementation of Data/BI/Analytics platform with the goal of enabling data-driven culture across the organization. This role will work closely with all business units (Sales, Finance, Business and Technology Operations, Supply Chain, Culinary, Product, Engineering, IT, Legal, etc), identify problems and opportunities, and provide analytical solutions that help achieve business goals and improve operational efficiency. 

Job Duties / Responsibilities

• Lead efforts in providing business performance insights to enable data-driven decision making and drive business results.
• Participate in designing and building robust data warehouse/data lake and business intelligence platform 
• Utilize various tools to extract, transform and analyze data from a variety of data sources to help answer business questions, identify potential opportunities.
• Collaborate with business stakeholders to understand business goals, reporting/data needs and build scalable analytical solutions.
• Apply statistical analysis, quantitative analysis and predictive modeling techniques to identify trends and patterns.
• Ability to quickly prioritize and execute multiple competing projects based on business case and expected impact.
• Mentor other analysts in the team.

Skills / Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Data Science, Math, Engineering or similar quantitative field.
• 4 - 6 years of experience in analytics, business intelligence, or similar roles.
• Experience in leading a small team of analysts.
• Excellent verbal and written communication skills with an ability to express ideas and effective story-telling through data, reports and dashboards.
• Strong analytical and problem solving skills with high attention to detail and accuracy.
• Proficient with Looker, Tableau, Sisense or similar business intelligence and analytics tools.
• Write efficient SQL queries against large, complex data sets. Experience with scripting languages like Python is a plus.
• Experience with modern data warehouse platforms such as BigQuery, Snowflake, RedShift is a plus.
• Experience working in a startup environment is a plus.