🔹 Job Title: Marketing Data Analyst
🔹 Company: Tyrads PTE. LTD.
🔹 Location: Denpasar, Bali, Indonesia
🔹 Job Type: Not specified
🔹 Category: 📈 Marketing Analytics, 📊 Marketing Analyst
Tyrads PTE. LTD. is seeking a Marketing Data Analyst to join their team at Tyr Rewards, an innovative rewarded gaming app. This role involves analyzing marketing data, conducting cohort analysis, and using Tableau to provide actionable insights that will drive growth, optimize marketing strategies, and improve user acquisition. You'll work closely with the marketing team to evaluate campaign performance, understand customer behavior, and support data-driven decision making.
ASSUMPTION: The role appears to be focused on supporting Tyr Rewards specifically, which seems to be a product/platform operated by Tyrads PTE. LTD., based on the context provided in the listing.
✅ Perform marketing analysis to evaluate campaign performance, user acquisition, and retention efforts
✅ Conduct cohort analyses to understand customer behavior, churn, and lifetime value
✅ Create dashboards and visualizations in Tableau to provide insights into key marketing metrics
✅ Monitor and analyze metrics such as ROI, CPA, CAC, LTV, and conversion rates
✅ Provide actionable recommendations to stakeholders based on data analysis
✅ Design and implement A/B tests for continuous optimization
✅ Collect, clean, and manage data from multiple sources
✅ Provide detailed reporting for marketing strategies, including digital advertising and CRM campaigns
✅ Collaborate with cross-functional teams to align business objectives with data insights
Education: Bachelor's degree in Marketing, Data Science, Statistics, Business Analytics, or a related field
Experience: 2+ years of experience in marketing analytics, preferably in the mobile advertising or gaming industry
Skills:
Nice-to-Have Skills:
Salary Range: Not specified
Benefits:
Industry Comparison: Not specified
ASSUMPTION: Based on the location in Bali, Indonesia and the required qualifications, this role likely offers competitive compensation within the Southeast Asian tech market, though exact figures aren't provided.
Industry Position: Tyr Rewards is described as an innovative rewarded app in the mobile gaming sector, allowing users to earn rewards by playing games.
Company Size: Not specified
Company Stage: Described as "dynamic and rapidly growing" with references to "scale our platforms aggressively," suggesting growth-stage.
ASSUMPTION: Based on the language about growth and scaling, Tyrads PTE. LTD. appears to be a growth-stage company in the mobile gaming/rewards space, though specific company size information is not provided.
Career Level: Mid-level (based on 2+ years experience requirement)
Reporting Structure: Not specified
Team Size/Composition: Not specified
Growth Opportunities: Not explicitly stated, though the company's growth trajectory implies potential for career advancement
ASSUMPTION: This appears to be a mid-level analytical role that would likely report to a marketing manager or director. Given the company's growth focus, there may be opportunities for advancement as the organization expands, though this is not explicitly stated.
Office Type: Not specified
Geographic Context: Denpasar is the capital city of Bali, Indonesia - a growing tech hub in Southeast Asia with a lower cost of living compared to major international tech centers. Bali has become an increasingly popular destination for digital nomads and tech professionals.
Work Schedule: Not specified
Regional Considerations: Bali offers a unique work environment combining Indonesian culture with international influences due to its popularity with expatriates and digital nomads.
ASSUMPTION: While the listing doesn't specify remote work options, Bali's status as a hub for digital professionals might suggest some flexibility, though this is purely speculative and should be confirmed during the application process.
Typical Process: For data analyst roles in tech companies, candidates can typically expect:
Key Assessment Areas:
Application Tips:
ATS Keywords: Tableau, cohort analysis, marketing analytics, SQL, Excel, user acquisition, ROI, CPA, CAC, LTV, conversion rates, A/B testing, data visualization, mobile advertising
ASSUMPTION: These insights are based on industry standards for similar roles and may vary for this specific company.
ASSUMPTION: While the job listing specifically mentions these tools, the role may involve additional analytical tools common in the marketing analytics field that weren't explicitly stated.
Company Values: The listing suggests a focus on innovation, growth, and data-driven decision making.
Work Style: Described as "dynamic" and "rapidly growing" with mentions of cross-functional collaboration, suggesting a fast-paced, collaborative environment.
Self-Assessment: Potential applicants should consider:
ASSUMPTION: The cultural elements described are inferred from the company description as "dynamic and rapidly growing" and the emphasis on cross-functional collaboration and data-driven marketing decisions.
Based on the job description, potential candidates might want to consider:
ASSUMPTION: These challenges are inferred from the nature of the role and company description and represent potential considerations rather than confirmed difficulties.
This Marketing Data Analyst role differs from similar positions in these ways:
ASSUMPTION: This comparison is based on standard industry patterns for role definitions and may vary depending on specific company structures.
Based on the listed responsibilities, someone in this role might work on projects such as:
ASSUMPTION: These projects are illustrative examples based on the listed responsibilities and typical marketing analytics workflows in mobile gaming.
ASSUMPTION: These questions are suggested based on the role type and should be adapted to reflect the candidate's specific interests and experience.
⚠️ This enhanced job description was AI-generated based on the original job listing. Information has been organized and supplemented with industry-standard insights where details were not provided. All assumptions are explicitly labeled. Applicants should verify all details directly with the employer before making decisions based on this content.