Deskripsi Pekerjaan
About the Role
Tribute Technology is at the forefront of powering meaningful connections through innovative SaaS solutions. We are seeking a talented and analytical Data Analyst (SaaS) to join our global Data Team. In this critical role, reporting directly to the Director of Data Science, you will be responsible for transforming complex datasets into strategic insights that drive product growth, enhance customer success, and optimize operational efficiency.
Why Join Us?
This is a unique opportunity to work within a data-driven culture that values curiosity and impact. You will collaborate with a global team of experts, gain exposure to rich SaaS datasets, and directly influence key business outcomes such as user retention, feature adoption, and revenue growth. If you are passionate about uncovering trends and telling stories with data, we want to hear from you.
Your Impact
As a key member of the Data Team, you will be the analytical backbone for several product and business units, ensuring decisions are backed by solid quantitative evidence. Your work will directly shape our product roadmap and customer engagement strategies.
Tanggung Jawab
- Collaborate with the Director of Data Science and stakeholders to identify analytical needs and define project scopes.
- Conduct deep-dive analyses into core SaaS metrics such as monthly recurring revenue (MRR), churn rates, customer lifetime value (LTV), and product adoption lifecycle.
- Design, build, and maintain robust dashboards and automated reports using tools like Tableau or Power BI to monitor business health in real-time.
- Write efficient and complex SQL queries to extract and manipulate large datasets from various data warehouses (e.g., Snowflake, BigQuery).
- Perform rigorous statistical analysis and A/B testing to validate product experiments and feature rollouts.
- Develop and maintain data documentation and definitions to ensure consistency across the organization.
- Translate complex analytical findings into clear, actionable recommendations presented to senior leadership and cross-functional partners.
Kualifikasi
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- 3+ years of experience in a Data Analyst role, specifically working within a SaaS or technology-driven company.
- Advanced proficiency in SQL is mandatory, with experience in window functions, complex joins, and query optimization.
- Strong experience with a data visualization platform (Tableau, Power BI, or Looker).
- Proficiency in a scripting language for data analysis, preferably Python (Pandas, NumPy) or R.
- Solid understanding of statistical concepts (regression, hypothesis testing, clustering) and their application in a business context.
- Deep familiarity with SaaS business models and metrics (MRR, ARR, Churn, LTV, CAC, NPS).
- Excellent communication skills, with the ability to present data insights to both technical and non-technical audiences.