Associate Analyst/Analyst/Senior Analyst, Customer Analytics

Marina Bay Sands Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Marina Bay Sands Pte Ltd in Singapore is seeking a Business Analytics Analyst to derive actionable insights from customer data, build predictive models, and support marketing and sales with data-driven decisions.

You will collaborate with BI, data warehouse, IT and marketing teams to create dashboards, monitor trends, and translate modelling results into strategic campaigns.

Qualifications

• Strong logical thinking, data analysis and problem-solving skills.
• Excellent communication and presentation skills.

Responsibilities

• Develop creative approaches to data sourcing and derive qualitative insights to deliver high-impact business solutions.
• Apply advanced analytics, modelling and machine learning on customer behavior and profitability analysis.
• Create data-driven personalized offers and A/B testing; translate modelling results into business strategy via dashboards.

Job description

WE TAKE YOU ABOVE BEYOND

Take your passion to the next level and work alongside other masters of their craft to build a fulfilling and rewarding career at Marina Bay Sands.

Job Responsibilities

The team is tasked with developing creative approaches to data sourcing, deriving new variables and factoring in qualitative insights to deliver high-impact business solutions.

Key areas of focus, include:

• Leverage customer data and analytics to acquire, develop, and retain high-value customers more profitably and effectively.

• Work with the sales team to optimize structure, communication, and coverage.

• Develop a robust behavioral and needs-based segmentation to create more relevant, actionable, and personalized campaigns, offers, and engagements.

• Collaborate with the marketing technology team to enhance CRM and real-time rules capabilities.

Analytics:

• Apply advanced analytics, modelling and machine learning on customer behavior, CLV prediction and profitability analysis.

• Enhance our 360° view of our most valuable guests and create actionable segmentations of customers across the entire Integrated Resort.

• Work closely with Sales and Marketing departments to:
  1) Monitor the business and highlight trends and opportunities.
  2) Translate modelling results and segmentations into business strategy via data/dashboards with impactful visualization.
  3) Design data-driven personalized offers and A/B testing.
  4) Evaluate the effectiveness of our marketing strategies.

• Work closely with Business Intelligence, data warehouse, IT and smart IR teams to implement analytical solutions.

Job Requirements

Education & Certification

• Degree in Business Analytics, Applied Mathematics, Statistics or other analytical fields preferred.

Experience

• 1 to 2 years of practical experience in business analytics, customer analytics or marketing analytics preferred.

• Minimum 3 - 5 years of practical experience in business analytics, customer analytics or marketing analytics or Masters in any analytical field for Analyst.

• Experience building and implementing predictive models and machine learning will be an added advantage.

Other Prerequisites

• Programming skills using analytical tools such as Base SAS, SAS EG, SQL, R or Python is required.

• Proficient in data visualization tools, such as Tableau preferred.

• Ability to process massive amounts of data and complete critical projects in a correct, accurate and timely manner.

• Strong logical thinking, data analysis and problem-solving skills.

• Excellent communication and presentation skills.

• Passionate about data, customers, and building your career with Marina Bay Sands.

Marina Bay Sands is committed to building a diverse, equitable and inclusive workforce, providing equal opportunities as we grow our talent base to match our growth ambitions in Singapore.Our employees are committed to adhere to and abide by all rules, regulations, policies and procedures, including the rules of conduct and business ethics of the Company.