Senior Data Analyst

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

Job summary

A leading retail organization in Singapore is seeking a Data Analyst to drive customer insights and optimize marketing strategies. The ideal candidate will have over 5 years of experience in data analytics and be proficient in tools like Google BigQuery and Python. Responsibilities include customer segmentation, lifecycle analytics, and enhancing customer experience through data-driven decisions. This position is pivotal in shaping marketing campaigns effectively.

Qualifications

• Minimum of 5 years’ experience in consultancy, market research, data analytics, or performance marketing.
• Exposure to large datasets and transaction-heavy platforms is essential.
• Prior experience in solving complex mathematical problems like optimization is preferred.

Responsibilities

• Identify customer segments and analyze buying behaviors.
• Drive initiatives to enhance the overall customer experience.
• Optimize marketing spend to maximize ROI.

Skills

Data analytics

Customer segmentation

Problem-solving

Interpersonal skills

Project management

Education

Degree in Business, Statistics, Mathematics, Computer Science

Tools

Google BigQuery

Python

Hadoop

Tableau

Job description

Key Responsibilities

Customer Insights & Segmentation:

• Identify customer segments, analyze buying behaviors, demographics, and life stages.
• Discover potential growth opportunities and develop targeted strategies for new customer segments.

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.

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.