Business Analytics Manager

www.recruitireland.com - jobboard; Munster; On-site; EUR 34,000; Full time

Job summary

A leader in the accommodation and food service sector is seeking a skilled Business Analytics Manager to oversee performance analysis across its restaurant network. This role emphasizes data-driven decision-making and requires strong analytical skills to enhance operational efficiency and profitability. Key responsibilities include monitoring performance, developing reports, and collaborating with restaurant teams to implement effective solutions.

Qualifications

• Bachelor's or Master's degree in a relevant field.
• Proficiency in Excel, SQL, and BI tools.
• Strong analytical and communication skills.

Responsibilities

• Monitor daily, weekly, and monthly performance across restaurants.
• Develop and maintain performance reports and dashboards.
• Support budgeting and forecasting processes.
• Collaborate with restaurant managers for performance improvement.
• Analyze controllable expenses for efficient operations.
• Evaluate marketing campaign performance.
• Improve internal reporting processes and data collection.
• Communicate findings to senior management and restaurant teams.

Skills

Advanced Excel skills

SQL proficiency

Experience with BI tools (Power BI/Tableau)

Analytical skills

Problem-solving skills

Communication skills

Education

Bachelor’s or Master’s in Business Analytics, Data Science, Finance

Job description

• Contract type:Permanent Full-time
• Position :2
• Salary:34000.00 Euro Annually
• Remote/Blended Working:No
• Sector:accommodation and food service activities

Job Description & Skills Required

We are seeking a skilled and detail-oriented Business Analytics Manager to lead performance analysis and strategic decision support across our 9 restaurants network (Limerick, Galway, Clare, and Mayo). This role bridges restaurant operations and data analytics, leveraging first-hand operational knowledge and advanced analytical skills to drive efficiency, profitability, and customer satisfaction.

Key Responsibilities

1. Performance Monitoring & Analysis Track and analyze daily, weekly, and monthly operational and financial performance across multiple restaurant locations. Monitor key KPIs such as sales, labour utilization, service times, drive-thru performance, and profitability. Translate raw data into meaningful insights that support operational improvements.

2. Reporting & Dashboard Development Develop, automate, and maintain performance reports and dashboards using Excel and business intelligence tools (Power BI/Tableau). Ensure reporting is accurate, timely, and accessible for both management and restaurant teams.

3. Forecasting & Budgeting Support the budgeting and forecasting process by integrating historical trends, seasonality, staffing requirements, and promotional activities. Provide data-driven recommendations to optimize resource allocation and financial planning.

4. Operational Partnering Work closely with Restaurant Managers and Shift Leaders to identify performance gaps and improvement opportunities. Use operational experience to contextualize data findings and recommend practical, effective solutions.

5. Cost & Efficiency Management Analyze labour costs, food waste, utilities, and other controllable expenses. Provide actionable strategies to improve efficiency without compromising service standards.

6. Marketing & Sales Insights Evaluate the performance of local and national marketing campaigns, menu launches, and promotions. Provide insights on customer behaviour, product mix, and sales drivers.

7. Tools & Process Improvement Improve internal reporting processes and data collection methods. Implement dashboards and reporting systems that provide real-time performance visibility.

8. Leadership & Communication Act as the link between the franchise leadership and restaurant teams. Clearly communicate analytical findings and recommendations in a way that is actionable for both senior management and on-the-ground staff. Promote a culture of data-driven decision-making within the organization.

Qualifications & Skills

Bachelor’s or Master’s degree in Business Analytics, Data Science, Finance, or related discipline.

Proficiency in Excel (advanced formulas, pivot tables), SQL, and BI tools (Power BI/Tableau). Strong analytical, problem-solving, and communication skills.

Ability to balance strategic analysis with operational realities.