Analyst (Restaurant Analytics)

• As an Analyst, you will play a key role in driving data-informed decision-making by analyzing complex data, generating actionable insights, and presenting recommendations to business stakeholders
• You will be responsible for identifying trends, patterns, and opportunities that improve business performance, optimize operations, and support strategic objectives
• Data Analysis and Interpretation: Analyze complex datasets from various sources to identify meaningful trends, patterns, and insights. Apply statistical techniques and methodologies to extract actionable information
• Insight Generation: Develop data-driven insights and recommendations that address business challenges, improve processes, and drive growth. Translate analytical findings into clear and concise business implications
• Data Visualization and Reporting: Design, develop, and maintain insightful reports, dashboards, and data visualizations using Tableau (preferred) or other data visualization tools to effectively communicate findings to stakeholders
• Financial Modeling: Build and enhance financial models to forecast business performance, evaluate strategic initiatives, and support decision-making
• Presentation and Communication: Present analytical findings, insights, and recommendations to stakeholders, including management and cross-functional teams. Effectively communicate complex technical concepts to non-technical audiences
• Stakeholder Collaboration: Partner with business stakeholders to understand their needs, define analytical projects, and provide ongoing support. Address questions, handle objections, and facilitate consensus-building
• Performance Monitoring: Monitor key performance indicators (KPIs) and track business performance to identify areas for improvement and opportunities for optimization
• Continuous Improvement: Identify and implement process improvements to enhance data quality, streamline analysis, and increase efficiency

Benefits

• 401k with employer match
• Medical, dental, vision
• Health savings account with employer match
• 100% employer paid life insurance
• 2x pay if you work on holidays
• Learning and development opportunities to advance your career
• Wonder offers hourly employees stock options- This role requires strong analytical skills, business acumen, and the ability to effectively communicate findings to both technical and non-technical audiences
• Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely to both technical and non-technical audiences
• Solid understanding of data cleaning, transformation, and validation techniques
• Excellent business acumen and understanding of how data can drive business value
• Strong interpersonal and collaboration skills, with the ability to work effectively in a team environment
• Experience: 1-3 years of experience in an analytical role or in a highly analytical and technical internship
• Required: Intermediate proficiency in SQL, with experience in querying, data manipulation, and database management
• Ability to translate data into actionable insights and business recommendations
• Analytical and Business Skills:
• Ability to effectively handle objections and facilitate consensus-building
• Proficient in Microsoft Excel, including advanced functions and financial modeling capabilities
• Mix-Pure analysis
• Validation of AB experimentation configuration, results, and impact on business
• Proven experience using data visualization tools, with a strong preference for Tableau
• Strong analytical and problem-solving skills, with the ability to collect, organize, analyze, and interpret complex data
• Communication and Interpersonal Skills:
• Strong presentation skills, with experience presenting to stakeholders at various levels
• Strong understanding of statistical concepts and techniques, including regression analysis, hypothesis testing, and forecasting
• Technical Skills:
• Solid understanding of analytical techniques including:
• Using data to identify root-cause
• Education: Bachelor’s degree in Business, Economics, Finance, Statistics, Mathematics, or a related discipline
• Familiarity with Python, R, or other statistical programming languages is a plus