job description
Join Rising Tide Digital, a forward-thinking digital solutions company, as our next Full-Stack Data Analyst! Weâre looking for a dynamic professional to drive data-driven decision-making across our projects, blending technical expertise with business acumen. In this role, youâll work remotely from Bali, Indonesia (Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, or Badung preferred), collaborating with cross-functional teams to transform raw data into actionable insights.
As a Full-Stack Data Analyst, youâll bridge the gap between data engineering and business strategy, ensuring our clients and internal teams leverage data for growth. Whether youâre optimizing marketing campaigns, improving operational efficiency, or uncovering trends, your work will directly impact our success. This is a unique opportunity to work in a flexible, remote-first environment while enjoying Baliâs vibrant culture and work-life balance.
If youâre passionate about data, thrive in collaborative environments, and want to make an impact, weâd love to hear from you. Letâs ride the wave of innovation together!
Responsibility
- Design, develop, and maintain end-to-end data pipelines, from extraction to visualization, ensuring data accuracy and accessibility.
- Analyze complex datasets to identify trends, patterns, and insights that drive business decisions and strategy.
- Collaborate with stakeholders to define KPIs, metrics, and reporting requirements for data-driven projects.
- Create and maintain interactive dashboards and reports using tools like Power BI, Tableau, or Looker to communicate insights effectively.
- Automate data workflows and processes to improve efficiency and reduce manual effort.
- Perform ad-hoc data analysis to support business needs, including market research, customer segmentation, and performance optimization.
- Ensure data integrity and security by implementing best practices for data governance and compliance.
- Mentor junior team members and contribute to a culture of continuous learning and innovation.
Qualifications
- Bachelorâs degree in Data Science, Computer Science, Statistics, Economics, or a related field (or equivalent experience).
- 3+ years of experience as a Data Analyst, Business Intelligence Analyst, or similar role, with a focus on full-stack data analytics.
- Proficiency in SQL for data querying, manipulation, and optimization (e.g., PostgreSQL, MySQL, BigQuery).
- Experience with data visualization tools such as Power BI, Tableau, or Looker.
- Familiarity with programming languages like Python (Pandas, NumPy) or R for data analysis and automation.
- Strong understanding of data warehousing, ETL processes, and cloud platforms (e.g., AWS, Google Cloud, Azure).
- Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
- Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
- Experience with version control (e.g., Git) and Agile methodologies is a plus.