Data Analyst (Marketing & Customer Analytics)

FairPrice Group; Singapore; Vor Ort; SGD 65.000 - 90.000; Vollzeit

Benefits dieser Stelle

Scale & Complexity

Real-World Impact

Growth & Culture

Zusammenfassung

FairPrice Group in Singapore seeks a Data Analyst (Marketing & Customer Analytics) to transform omnichannel transaction data into actionable insights, fueling personalized engagement and high-impact campaigns across digital and physical touchpoints.

If you enjoy storytelling with data, CLV, segmentation, and dashboards that scale decision-making, this role offers exposure to one of Singapore's largest consumer datasets and a fast-paced retail analytics environment.

Qualifikationen

• 2–4 years experience as an Insights Analyst, Data Analyst, or Data Scientist in ecommerce/retail or high-volume platforms.
• Proficient in SQL, Python and modern visualization tools; hands-on with cloud environments (GCP/AWS).

Aufgaben

• Identify customer segments and analyze journeys, demographics, and life stages for acquisition/retention.
• Design, execute, and measure omnichannel campaigns to maximize ROI.
• Build CLV frameworks to guide marketing budget allocation; evaluate cohorts.

Kenntnisse

SQL

Python

Tableau

Power BI

Looker

Cloud platforms (GCP/AWS)

Tools

Tableau

Power BI

Looker

GCP

AWS

Jobbeschreibung

Why Join Us?

Every day, millions of people across Singapore rely on FairPrice Group for their daily essentials. As a Data Analyst (Marketing & Customer Analytics), you won't just analyze numbers—you will shape how Singapore shops.

You will harness large-scale omnichannel transaction data to decode customer behavior, drive hyper-personalized engagement, and optimize high-impact marketing campaigns across our digital and physical ecosystems. If you are passionate about customer lifetime value, behavioral segmentation, and data storytelling, this is where your insights turn into nationwide impact.

What You’ll Do

• Drive Customer-Centric Growth: Identify distinct customer segments and analyze purchasing journeys, demographics, and life stages to uncover new acquisition and retention opportunities.
• Optimize Campaign Performance: Partner closely with Marketing and Category teams to design, execute, and measure targeted omnichannel campaigns—maximizing revenue per segment, product penetration, and overall ROI.
• Master Customer Lifetime Value (CLV): Build frameworks to evaluate customer lifetime value, guiding strategic allocation of marketing budgets to the highest-yielding channels and cohorts.
• A/B Testing & Personalization: Design rigorous tests across dynamic offers, content, and communication channels so members receive relevant messages at the right time.
• Be a Data Storyteller: Translate complex statistical models and behavioral data into clear, actionable business strategies for leadership and cross-functional partners.
• Empower Self-Service Analytics: Build interactive dashboards and reporting tools to scale data-driven decision-making across the broader marketing and commercial teams.

Who You Are

• Experience: 2-4 years of experience as an Insights Analyst, Data Analyst, or Data Scientist—prior experience in e-commerce, retail, or high-volume transactional platforms is a strong advantage.
• Technical Toolkit: Proficient in SQL, Python, and modern data visualization tools (Tableau, Power BI, or Looker). Hands-on experience with cloud environments (GCP or AWS) is highly desirable.
• Analytical & Statistical Mindset: Skilled in statistical modeling, customer segmentation, cohort analysis, and campaign incrementality measurement.
• Business Acumen & Storytelling: Able to bridge the gap between complex datasets and commercial strategy, articulating insights clearly to non-technical stakeholders.
• Self-Starter: Comfortable managing ambiguity, proactive in identifying opportunities, and thrives in a collaborative, fast-paced environment.

What We Offer

• Scale & Complexity: Work with one of the largest consumer transaction datasets in Singapore.
• Real-World Impact: See your campaign models and insights directly influence everyday consumer decisions.
• Growth & Culture: Join a collaborative team driving the future of retail analytics and digital transformation.
• Ready to shape the future of retail?