job description
Join UPTC as a Senior Data Analyst in the heart of Baliâs most vibrant tech hubsâCanggu, Ubud, or Denpasarâand turn raw data into actionable business insights that drive growth. In this dynamic role, youâll collaborate with cross-functional teams to design, develop, and deploy Power BI dashboards that empower decision-makers with real-time, data-driven strategies.
Leverage your expertise in data visualization, trend analysis, and predictive modeling to uncover hidden opportunities, optimize processes, and solve complex business challenges. Whether you're refining KPIs, automating reports, or presenting findings to stakeholders, your work will have a direct impact on UPTCâs success in a fast-paced, innovative environment.
Why Bali? Enjoy a work-life balance like no otherâworld-class beaches, a thriving digital nomad community, and a culture that fuels creativity. UPTC offers a competitive salary, professional growth, and the chance to shape the future of data analytics in Southeast Asia.
Responsibility
- Design, build, and maintain interactive Power BI dashboards and reports to visualize key business metrics.
- Collect, clean, and analyze large datasets to identify trends, patterns, and actionable insights.
- Collaborate with marketing, sales, and operations teams to define KPIs and track performance against business goals.
- Develop and automate data pipelines to streamline reporting and reduce manual processes.
- Conduct A/B testing and statistical analysis to evaluate the impact of business strategies.
- Present complex data findings in a clear, compelling manner to non-technical stakeholders.
- Monitor data quality and integrity, implementing best practices for accuracy and consistency.
- Stay ahead of industry trends in data analytics, AI, and machine learning to drive innovation.
Qualifications
- Bachelorâs degree in Data Science, Statistics, Computer Science, Economics, or a related field.
- 3+ years of experience as a Data Analyst or similar role, with a strong portfolio of Power BI/Tableau dashboards.
- Proficiency in SQL, Python (Pandas, NumPy), or R for data manipulation and analysis.
- Experience with ETL processes, data warehousing (Snowflake, BigQuery), and API integrations.
- Advanced Excel skills (pivot tables, VLOOKUP, macros) and familiarity with Google Analytics or similar tools.
- Strong analytical mindset with the ability to translate business questions into data-driven solutions.
- Excellent communication skills to present insights to technical and non-technical audiences.
- Experience in retail, e-commerce, or SaaS industries is a plus.