Data Analyst

Position:  Data Analyst for Sales and Labor Forecasting 

Location: Remote, US 

Job Summary 

We are seeking a Data Analyst to work for Sales and Labor Forecasting at a restaurant Chain. The ideal candidate will have analytical skills along with some data engineering and data science experience. You will play a crucial role in optimizing the restaurant operations and enhancing their decision-making processes. You will work closely with their Analytics, Sales, Operations, and HR teams to analyze data, develop insights, and forecast sales and labor needs, enabling them to provide a seamless and efficient dining experience for their customers while controlling operational costs. 

Responsibilities: 

Collect and analyze data from various sources, including POS systems, historical sales records, and labor reports, to identify trends, patterns, and anomalies that impact sales and labor requirements. 

Work closely with the AI/ML engineer to develop an accurate sales forecast for each restaurant location, taking into account seasonality, special events, and market trends. 

Work closely with the AI/ML engineer to develop labor forecasts and staffing models to ensure appropriate staffing levels based on projected sales, taking into consideration employee availability, and optimal scheduling. 

You will work with leading edge technologies like Azure Synapse Analytics, Azure Data Factory, Azure machine learning, Auto ML and more. 

Use modeling and analytics to understand how business decisions impact our bottom line. 

Seamlessly integrate data from multiple sources and platforms to generate customer insights. 

Explore new data sources to enhance models and build solutions that empower analytics •  

Implement data governance and security measures to protect sensitive data, ensure compliance with regulatory standards, and adhere to data privacy policies. 

Requirements 

Bachelor's or master’s degree in computer science, Engineering, or a related field. 

Hands-on experience with cloud platform Azure 

Experience in SQL or Python 

Excellent communication and collaboration skills to work effectively in a team environment and interact with stakeholders from various disciplines. 

Preferred Qualifications: 

Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science. 

Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders. 

Proven experience in data analysis and forecasting, preferably in the restaurant or hospitality industry.