Analyst – Restaurant Analytics

Jobtailor; Illinois; On-site; USD 65,000 - 90,000; Full time

Job summary

Jobtailor seeks a data analyst to transform complex datasets into actionable insights and drive business growth in Illinois.

You will build reports and dashboards (Tableau preferred), apply statistical methods, and collaborate with cross-functional teams to translate findings into strategic recommendations and improved processes. Strong Excel, SQL, and communication skills are essential.

Qualifications

• 1-3 years of experience in an analytical role or technical internship.
• Bachelor’s degree in Business, Economics, Finance, Statistics, Mathematics, or related field.
• Proficient in Excel with advanced functions and financial modeling.
• Intermediate SQL experience for querying and data manipulation.
• Experience with data visualization tools, preferably Tableau.
• Knowledge of data cleaning, transformation, and validation.
• Strong statistics, forecasting, and regression analysis basics.
• Familiarity with Python, R, or similar languages is a plus.
• Excellent written and verbal communication with stakeholders.
• Strong analytical and collaborative abilities.

Responsibilities

• Analyze complex datasets to identify trends, patterns, and insights.
• Apply statistical techniques to extract actionable information.
• Develop data-driven insights to address business challenges and growth.
• Translate findings into clear business implications.
• Design and maintain dashboards and reports using Tableau or similar tools.
• Build financial models to forecast performance and evaluate initiatives.
• Present findings to management and cross-functional teams.
• Collaborate with stakeholders to define analytical projects and provide support.
• Monitor KPIs and track performance for optimization opportunities.
• Identify and implement data quality improvements and process enhancements.

Skills

Excel advanced

SQL

Tableau

Statistics

Python/R

Data visualization

Communication

Problem solving

Teamwork

Education

Bachelor's degree in a related field

Tools

Tableau

Excel

SQL

Job description

Responsibilities

• Analyze complex datasets from various sources to identify meaningful trends, patterns, and insights
• Apply statistical techniques and methodologies to extract actionable information
• Develop data-driven insights and recommendations that address business challenges, improve processes, and drive growth
• Translate analytical findings into clear and concise business implications
• Design, develop, and maintain insightful reports, dashboards, and data visualizations using Tableau or other data visualization tools to effectively communicate findings to stakeholders
• Build and enhance financial models to forecast business performance, evaluate strategic initiatives, and support decision-making
• Present analytical findings, insights, and recommendations to stakeholders, including management and cross‑functional teams
• Collaborate with business stakeholders to understand their needs, define analytical projects, and provide ongoing support
• Monitor key performance indicators (KPIs) and track business performance to identify areas for improvement and opportunities for optimization
• Identify and implement process improvements to enhance data quality, streamline analysis, and increase efficiency

Requirements

• 1-3 years of experience in an analytical role or in a highly analytical and technical internship
• Bachelor’s degree in Business, Economics, Finance, Statistics, Mathematics, or a related discipline
• Proficient in Microsoft Excel, including advanced functions and financial modeling capabilities
• Intermediate proficiency in SQL, with experience in querying, data manipulation, and database management
• Proven experience using data visualization tools, with a strong preference for Tableau
• Solid understanding of data cleaning, transformation, and validation techniques
• Strong understanding of statistical concepts and techniques, including regression analysis, hypothesis testing, and forecasting
• Familiarity with Python, R, or other statistical programming languages is a plus
• Strong analytical and problem‑solving skills, with the ability to collect, organize, analyze, and interpret complex data
• Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely to both technical and non-technical audiences
• Strong presentation skills, with experience presenting to stakeholders at various levels
• Strong interpersonal and collaboration skills, with the ability to work effectively in a team environment