Senior Data Analyst

NTUC FairPrice; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading retail company in Singapore is looking for an experienced professional to enhance customer engagement through data-driven strategies. The ideal candidate will have over 5 years in data analytics or performance marketing, a strong understanding of retail business models, and expertise in relevant analytical tools. Responsibilities include analyzing customer segments, optimizing marketing spend, and mapping customer journeys for improved experiences.

Qualifications

• Degree in Business, Statistics, Mathematics, or Computer Science, or equivalent experience.
• Minimum 5 years in consultancy, market research, data analytics, or performance marketing.
• Familiarity with retail and e-commerce data architectures.

Responsibilities

• Identify customer segments, analyze buying behaviors.
• Map customer purchase journeys and improve touchpoints.
• Evaluate customer lifetime value and optimize marketing spend.

Skills

Customer Analytics

Data Analysis

Problem-solving

Communication

Education

Degree in relevant field

Tools

Python

Google BigQuery

Tableau

Job description

Date: 2 days ago Area: Tuas, West Contract: Full time

Key Responsibilities

• Customer Insights & Segmentation: Identify customer segments, analyze buying behaviors, demographics, and life stages.
• Customer Lifecycle Analytics: Extract insights for customer acquisition, engagement, retention, and reactivation strategies. Collaborate with marketing and segment teams to develop campaigns that enhance revenue, product penetration, and engagement levels.
• Optimization of Marketing Spend: Evaluate customer lifetime value and optimize channel marketing spend to maximize ROI. Implement optimization engines to target marketing offers effectively.
• Customer Journey Mapping & Experience: Map end-to-end customer purchase journeys and improve touchpoints using data analytics. Drive initiatives to enhance the overall customer experience.
• Data-Driven Transformation: Advocate and lead efforts towards organizational change by implementing structured frameworks such as data governance models, KPI-driven performance tracking, and cross-functional analytics workshops. Foster a customer-centric and data-driven decision-making culture by integrating data literacy programs and promoting the adoption of analytics in strategic planning.

JOB REQUIREMENTS

• Qualifications & Requirements:
• Education & Experience: Degree in Business, Statistics, Mathematics, Computer Science, or a related field, or equivalent experience.
• Minimum of 5 years’ experience in consultancy, market research, data analytics, or performance marketing, with exposure to large datasets and transaction-heavy platforms.
• Prior experience in solving complex mathematical problems like optimization, dynamic pricing, or rank-ordering engines is preferred.
• Technical Expertise: Proficient in tools and platforms such as Google BigQuery, Python, Hadoop, Spark, HANA, Tableau, or similar. Hands-on experience in optimization engines and targeting algorithms.
• Retail & Digital Business Knowledge: Familiarity with retail and e-commerce business models, including data architecture in these domains.
• Key Competencies: Strong problem-solving skills with a structured approach to tackling complex challenges. Curiosity and passion for exploring and solving analytical problems. Ability to manage ambiguity, work independently, and deliver high-quality results. Excellent interpersonal, communication, and project management skills. A collaborative mindset with the ability to work across functions and engage stakeholders effectively. High-speed iterations and planned, well-organized data exploration. Clarity of mind and clear plans for actions and contingencies.