ตำแหน่ง : Business and Data Analyst
รายละเอียด
Job Summary
The Business & Data Analyst is responsible for analyzing business performance, customer trends, and operational data to improve efficiency, profitability, and service quality in a commercial laundry business. This role involves collecting and interpreting data, identifying key insights, and recommending strategies for pricing, business growth, cost reduction, and process optimisation. The analyst will work closely with operations, sales, and finance teams to support data-driven decision-making.
Key Responsibilities
1. Data Collection & Analysis
• Gather and analyze operational, financial, and customer data.
• Update and analyze the pricing guidebook to ensure consistency and competitiveness.
• Track key performance indicators (KPIs) to measure business performance.
• Identify trends and patterns to improve efficiency and profitability.
2. Business Performance Monitoring
• Develop dashboards and reports for management review.
• Analyse revenue, costs, and operational efficiency to identify areas for improvement.
• Provide data-driven insights to support pricing strategies, cost control, and resource allocation.
3. Process Optimisation
• Assess workflow and suggest process improvements to enhance productivity.
• Identify bottlenecks in laundry operations and recommend solutions.
• Work with the operations team to optimize machine utilization and reduce downtime.
4. Customer Insights & Market Research
• Analyze customer preferences, retention rates, and feedback.
• Identify new market opportunities and potential customer segments.
• Support marketing and sales teams with data-driven insights for targeted promotions.
5. Technology & Automation
• Assist in implementing data management systems and automation tools.
• Support the integration of software for inventory, scheduling, and customer management.
• Ensure accurate data entry and maintenance of business records.
6. Reporting & Strategy Development
• Prepare weekly, monthly, and quarterly reports on business performance.
• Present findings and recommendations to management for strategic decision-making.
• Assist in budgeting, forecasting, and financial planning.
Requirements & Qualifications
• Bachelor's degree in Business Analytics, Data Science, Finance, or a related field.
• Experience in business analysis, data analytics, or operations management (preferably in a service-based industry).
• Proficiency in data analysis tools (Excel, SQL, Power BI, Google Analytics, etc.).
• Strong problem-solving and critical-thinking skills.
• Ability to interpret data and present insights clearly to management.
• Knowledge of commercial laundry operations is a plus.
Key Performance Indicator
• Revenue growth against budget or target set out in annual plan
• Improve customer satisfaction index and reduce customer complaints
• Increase productivity and improve turnaround time
• Accuracy of data and business forecasting
The Business & Data Analyst is responsible for analyzing business performance, customer trends, and operational data to improve efficiency, profitability, and service quality in a commercial laundry business. This role involves collecting and interpreting data, identifying key insights, and recommending strategies for pricing, business growth, cost reduction, and process optimisation. The analyst will work closely with operations, sales, and finance teams to support data-driven decision-making.
Key Responsibilities
1. Data Collection & Analysis
• Gather and analyze operational, financial, and customer data.
• Update and analyze the pricing guidebook to ensure consistency and competitiveness.
• Track key performance indicators (KPIs) to measure business performance.
• Identify trends and patterns to improve efficiency and profitability.
2. Business Performance Monitoring
• Develop dashboards and reports for management review.
• Analyse revenue, costs, and operational efficiency to identify areas for improvement.
• Provide data-driven insights to support pricing strategies, cost control, and resource allocation.
3. Process Optimisation
• Assess workflow and suggest process improvements to enhance productivity.
• Identify bottlenecks in laundry operations and recommend solutions.
• Work with the operations team to optimize machine utilization and reduce downtime.
4. Customer Insights & Market Research
• Analyze customer preferences, retention rates, and feedback.
• Identify new market opportunities and potential customer segments.
• Support marketing and sales teams with data-driven insights for targeted promotions.
5. Technology & Automation
• Assist in implementing data management systems and automation tools.
• Support the integration of software for inventory, scheduling, and customer management.
• Ensure accurate data entry and maintenance of business records.
6. Reporting & Strategy Development
• Prepare weekly, monthly, and quarterly reports on business performance.
• Present findings and recommendations to management for strategic decision-making.
• Assist in budgeting, forecasting, and financial planning.
Requirements & Qualifications
• Bachelor's degree in Business Analytics, Data Science, Finance, or a related field.
• Experience in business analysis, data analytics, or operations management (preferably in a service-based industry).
• Proficiency in data analysis tools (Excel, SQL, Power BI, Google Analytics, etc.).
• Strong problem-solving and critical-thinking skills.
• Ability to interpret data and present insights clearly to management.
• Knowledge of commercial laundry operations is a plus.
Key Performance Indicator
• Revenue growth against budget or target set out in annual plan
• Improve customer satisfaction index and reduce customer complaints
• Increase productivity and improve turnaround time
• Accuracy of data and business forecasting
แผนก:
Laundry - Laguna Service
จำนวน:
1 อัตรา
ระดับการศึกษา:
ไม่ระบุ
เวลาทำงาน:
งานประจำ
เงินเดือน:
ตามประสบการณ์
ผู้ติดต่อ:
Human Resources Department
เบอร์ติดต่อ:
076362300
ลงประกาศเมื่อ:
19 มิ.ย. 69
สวัสดิการ
• 2 Days Off per Week
• Duty Meal at Associate Cafeteria
• Uniform & Laundry
• Associate Bus with air-condition
• Annual Year End Bonus
• Group life & Health Insurance
• Outpatient Medical Fee (10% of annum salary)
• Annual Health Examination
• Laguna Central Clinic
• Provident Fund (5% of basic salary)
• Associates Saving Co-Operative
• Long Service Award
• Complimentary Stay at Hotels in the Group
• Duty Meal at Associate Cafeteria
• Uniform & Laundry
• Associate Bus with air-condition
• Annual Year End Bonus
• Group life & Health Insurance
• Outpatient Medical Fee (10% of annum salary)
• Annual Health Examination
• Laguna Central Clinic
• Provident Fund (5% of basic salary)
• Associates Saving Co-Operative
• Long Service Award
• Complimentary Stay at Hotels in the Group
วิธีการสมัคร
If you think you are a high-calibre candidate with the right attitude, please submit your CV with photograph and expected salary to Human Resources Department
Call for more information: 076-362300 ext. 1002
Apply via: https://www.careers-page.com/lagunaphuket
สมัครได้ที่ช่องทาง https://www.careers-page.com/lagunaphuket
Please be informed that only short-listed candidates will be notified.
Call for more information: 076-362300 ext. 1002
Apply via: https://www.careers-page.com/lagunaphuket
สมัครได้ที่ช่องทาง https://www.careers-page.com/lagunaphuket
Please be informed that only short-listed candidates will be notified.
ติดต่อเรา
Google Map
Laguna Resort & Hotels
390/1 Moo1 Srisoonthorn Road, Cheangtalay, Thalang Phuket 83110
ติดต่อ: Human Resources Department
Tel: 076362300
Website: https://www.careers-page.com/lagunaphuket
ตำแหน่งงานทั้งหมด
Digital & Technology
Overseas & Sales Channel Development
Laundry - Laguna Service
Centralised Engineering
laguna Jobs
Centralised-Non Hotels Accounting
Internal Audit
Laguna Golf
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Sales & Marketing
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- Assistant Estate & CJP Management Manager (1)
- Linen Attendant (2)
- Assistant Housekeeping Manager (1)
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- Common Area Supervisor (1)
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- Housekeeping Attendant (5)
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Banyan Group
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Banyan Living
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Laguna Service - Transport
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ส่งประวัติส่วนตัวพร้อมรูปถ่ายปัจจุบันเข้ามาที่ [email protected] *ยินดีรับผู้ไม่มีประสบการณ์*

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