📌 Core Information
🔹 Job Title: Data Analyst (Marketing)
🔹 Company: Delivery Hero
🔹 Location: Singapore
🔹 Job Type: Full-time
🔹 Category: Data & Analytics
🔹 Date Posted: July 11, 2025
🔹 Experience Level: 2-5 years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Supporting data collection, cleansing, and preparation to ensure quality, reliability, and consistency.
- Conducting basic analyses using SQL and Excel, and assisting senior analysts with larger datasets.
- Creating and maintaining dashboards for internal reporting needs.
- Generating recurring reports and fulfilling ad-hoc analysis requests from internal stakeholders.
- Monitoring data quality and participating in QA processes to ensure consistency across all reporting metrics.
ASSUMPTION: This role is ideal for an early-career data analyst looking to gain exposure to high-impact projects and learn from experienced data professionals in a fast-paced environment.
📋 Key Responsibilities
✅ Data Preparation & Analysis: Supporting data collection, cleansing, and preparation to ensure quality, reliability, and consistency. Conducting basic analyses using SQL and Excel, and assisting senior analysts with larger datasets.
✅ Dashboard Development: Creating and maintaining dashboards (e.g., in Looker or Tableau) for internal reporting needs. Ensuring they are user-friendly and meeting the requirements of key stakeholders.
✅ Reporting & Ad Hoc Analysis: Assisting in generating recurring reports and fulfilling ad-hoc analysis requests from internal stakeholders to support strategic decisions.
✅ Data Quality & Tracking: Monitoring data quality and participating in QA processes to ensure consistency across all reporting metrics.
✅ Collaboration: Working closely with senior analysts and team leads, learning from their approach to data modeling, visualization, and storytelling.
✅ Stakeholder Management: Partnering with business stakeholders across the organization to understand their analytical needs, proposing data solutions, and communicating insights in an actionable manner.
ASSUMPTION: This role requires a strong focus on data accuracy and attention to detail, as well as excellent communication skills to effectively collaborate with both technical and non-technical stakeholders.
🎯 Required Qualifications
Education: Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
Experience: Overall 2-5 years of experience in data analytics, ideally in a business or product analytics role.
Required Skills:
- Proficiency in SQL and experience with at least one data visualization tool (e.g., Looker, Tableau).
- Familiarity with customer behavior tracking tools (e.g., Google Analytics) is a plus.
- Strong communication skills, with an ability to present findings in a clear and concise way.
- A team-oriented mindset with a willingness to learn and take on new challenges.
Preferred Skills:
- Familiarity with commercial, marketing, or logistics datasets and an understanding of the business processes driving these functions.
ASSUMPTION: While not explicitly stated, proficiency in Excel is likely expected for this role, given the mention of using it for data analysis.
💰 Compensation & Benefits
Salary Range: The salary range for this role in Singapore typically falls between SGD 5,000 - 8,000 per month, depending on experience and skills. This estimate is based on market research and industry standards for data analyst roles in the region.
Benefits:
- Dynamic and challenging work environment.
- Company committed to developing you personally and professionally.
- Great working atmosphere with regular company and team events.
- Vibrant and international team committed to diversity and inclusion.
- Responsibility from day one in a fast-growing and global company.
Working Hours: Full-time position with standard office hours, Monday to Friday. Flexible work arrangements may be available, but this is not explicitly stated.
ASSUMPTION: The salary range provided is an estimate based on market research and may vary depending on the candidate's skills, experience, and negotiation. The benefits listed are based on the information provided in the job description and may be subject to change.
📌 Applicant Insights
🔍 Company Context
Industry: Delivery Hero is a leading local delivery platform operating in over 70 countries worldwide, focusing on food delivery and quick commerce.
Company Size: Delivery Hero has 10,001+ employees globally, with a significant presence in Singapore.
Founded: Delivery Hero was founded in 2011 and has since grown into a global tech company with a strong focus on innovation and growth.
Company Description:
- Delivery Hero operates multiple brands, including foodpanda, in various markets across Asia, Europe, Latin America, the Middle East, and Africa.
- The company aims to deliver an amazing experience, fast, easy, and to your door, by leveraging technology and a global team of dedicated professionals.
- Delivery Hero is committed to developing its employees and fostering a dynamic and inclusive work environment.
Company Specialties:
- Online food ordering and delivery.
- eCommerce and technology.
- Online food delivery and logistics.
- Marketing and apps development.
- Machine learning and data-driven decision-making.
Company Website: www.deliveryhero.com
ASSUMPTION: Delivery Hero's focus on growth and innovation creates an exciting and challenging work environment for employees, with ample opportunities for professional development and career advancement.
📊 Role Analysis
Career Level: This role is suitable for early to mid-career data analysts looking to gain experience in a fast-paced, global environment.
Reporting Structure: The Data Analyst will report directly to the Analytics Team Lead and collaborate closely with senior analysts and other internal stakeholders.
Work Arrangement: This is an on-site role based in Singapore, with the possibility of flexible work arrangements, depending on the company's policies and the employee's needs.
Growth Opportunities:
- Exposure to high-impact projects and the chance to work with experienced data professionals.
- Potential to take on more responsibilities and advance within the Analytics team or explore other opportunities within the organization.
- Access to learning and development resources to support personal and professional growth.
ASSUMPTION: Delivery Hero's global presence and diverse portfolio of brands offer data analysts the opportunity to work on various projects and gain exposure to different markets and industries.
🌍 Location & Work Environment
Office Type: Delivery Hero's Singapore office is a modern, collaborative workspace designed to foster innovation and creativity.
Office Location(s): The company's Singapore office is located in the central business district, offering easy access to public transportation and various amenities.
Geographic Context:
- Singapore is a multicultural city-state and island country in Southeast Asia, known for its business-friendly environment and high quality of life.
- The country has a tropical climate, with temperatures ranging from 25°C to 32°C (77°F to 90°F) throughout the year.
- Singapore is home to a diverse and vibrant food scene, with a wide range of culinary options available.
Work Schedule: The standard work schedule is Monday to Friday, 9:00 AM to 6:00 PM, with a one-hour lunch break. However, the company may offer flexible work arrangements, depending on the role and individual needs.
ASSUMPTION: Delivery Hero's Singapore office provides a dynamic and engaging work environment, with ample opportunities for collaboration and professional growth.
💼 Interview & Application Insights
Typical Process:
- Online application submission through the company's careers portal.
- Phone or video screening with the hiring manager or HR representative.
- Technical assessment or case study, focusing on data analysis and visualization skills.
- Final round interview with the Analytics Team Lead or other senior team members.
Key Assessment Areas:
- Data analysis and visualization skills, with a focus on SQL and Excel proficiency.
- Problem-solving abilities and the capacity to derive insights from complex datasets.
- Communication skills and the ability to present findings in a clear and concise manner.
- Cultural fit and alignment with the company's values and work environment.
Application Tips:
- Tailor your resume and cover letter to highlight your relevant skills and experiences, with a focus on data analysis and visualization.
- Prepare for the technical assessment by practicing SQL queries and creating sample dashboards using tools like Tableau or Power BI.
- Research the company and its mission to demonstrate your enthusiasm and understanding of the role during the interview process.
ATS Keywords: Data analysis, SQL, Excel, data visualization, reporting, stakeholder management, collaboration, teamwork, customer behavior tracking, Google Analytics, Looker, Tableau
ASSUMPTION: Delivery Hero's application process is designed to assess candidates' technical skills and cultural fit, with a focus on finding the best match for the role and the organization.
🛠️ Tools & Technologies
- SQL
- Excel
- Looker
- Tableau
- Google Analytics
ASSUMPTION: The tools and technologies listed are the primary tools used for data analysis and visualization in this role. However, the company may provide additional training and resources to support the use of other tools as needed.
👔 Cultural Fit Considerations
Company Values:
- We build, we deliver, we lead.
- We are customer-obsessed.
- We are one global team.
- We embrace change and innovation.
Work Style:
- Collaborative and team-oriented, with a focus on knowledge-sharing and continuous learning.
- Fast-paced and dynamic, with a strong emphasis on results and impact.
- Data-driven and analytical, with a focus on using data to inform decision-making.
Self-Assessment Questions:
- Do you thrive in a fast-paced, collaborative environment, and are you comfortable working with diverse teams?
- Are you passionate about data analysis and visualization, and do you enjoy using data to drive business outcomes?
- Do you have strong communication skills and the ability to present complex findings in a clear and concise manner?
ASSUMPTION: Delivery Hero's company culture is characterized by a strong focus on collaboration, innovation, and data-driven decision-making, with a commitment to fostering a dynamic and inclusive work environment.
⚠️ Potential Challenges
- The fast-paced nature of the role may require candidates to adapt quickly and manage multiple priorities effectively.
- The need to collaborate with various internal stakeholders may present challenges in terms of communication and alignment.
- The role may require candidates to work with large and complex datasets, which can be technically challenging and time-consuming.
- The Singapore office is located in the central business district, which can be busy and crowded during peak hours.
ASSUMPTION: While Delivery Hero offers a dynamic and engaging work environment, candidates should be prepared to face challenges related to the fast-paced nature of the role, the need to collaborate effectively with various stakeholders, and the technical demands of working with large datasets.
📈 Similar Roles Comparison
- Compared to other data analyst roles in the region, this position offers a unique opportunity to work for a global tech company with a strong focus on innovation and growth.
- Delivery Hero's diverse portfolio of brands and global presence provide data analysts with exposure to various markets and industries.
- This role is suitable for early to mid-career data analysts looking to gain experience in a fast-paced, global environment and advance their careers within a growing organization.
ASSUMPTION: Delivery Hero's data analyst role offers a unique combination of challenges, opportunities, and benefits, making it an attractive option for candidates seeking to advance their careers in a dynamic and innovative environment.
📝 Sample Projects
- Analyzing customer behavior data to identify trends and opportunities for targeted marketing campaigns.
- Developing and maintaining dashboards to track key performance indicators (KPIs) and support data-driven decision-making.
- Collaborating with cross-functional teams to optimize business processes and improve operational efficiency.
ASSUMPTION: The sample projects listed are representative of the types of tasks and initiatives that data analysts may be involved in at Delivery Hero, with a focus on driving impact and supporting the company's growth and success.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Analytics team and how this role fits into the broader organization?
- What are the most pressing challenges facing the Analytics team, and how can this role contribute to addressing them?
- How does Delivery Hero support the professional development and growth of its employees, particularly within the Analytics team?
- What are the key priorities for this role in the first 30, 60, and 90 days, and how will success be measured?
- How does Delivery Hero foster a culture of innovation and continuous learning, and what opportunities are available for employees to contribute to this process?
ASSUMPTION: Asking thoughtful and insightful questions during the interview process demonstrates your interest in the role and your commitment to understanding the company's culture and priorities. This can help you make a more informed decision about whether the role is the right fit for you and your career goals.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through the Delivery Hero careers portal.
- Tailor your resume and cover letter to highlight your relevant skills and experiences, with a focus on data analysis and visualization.
- Prepare for the technical assessment by practicing SQL queries and creating sample dashboards using tools like Tableau or Power BI.
- Research the company and its mission to demonstrate your enthusiasm and understanding of the role during the interview process.
- Follow up with the hiring manager or HR representative within one week of submitting your application to confirm receipt and express your interest in the role.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
