job description
Join PERSOL as a Senior Data Analyst (B2B) and drive strategic business decisions through advanced data analysis and visualization. In this dynamic role, you will transform raw data into actionable insights, empowering our B2B clients to optimize performance, identify trends, and make data-driven decisions in a fast-paced, global environment.
Based in the vibrant and inspiring locations of Bali (Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, or Badung), youâll collaborate with cross-functional teams to deliver high-impact analytics solutions. Whether you're working from a beachside coworking space or a lush villa, this role offers the perfect blend of professional growth and work-life balance in one of the worldâs most sought-after destinations.
If youâre passionate about leveraging data to solve complex business challenges and thrive in a results-driven culture, we want to hear from you. Apply today to take the next step in your analytics career with a global leader in workforce solutions.
Responsibility
- Develop and maintain B2B data models, dashboards, and reports using tools like Power BI, Tableau, or SQL to support business decision-making.
- Conduct in-depth data analysis to identify trends, patterns, and opportunities for process improvements and revenue growth.
- Collaborate with sales, marketing, and product teams to define KPIs and measure performance against business objectives.
- Automate data collection and reporting processes to enhance efficiency and accuracy in real-time analytics.
- Present complex data insights in a clear, actionable format to stakeholders through visualizations and executive summaries.
- Monitor and analyze customer behavior and market trends to inform B2B strategy and product development.
- Ensure data integrity and consistency across all systems by implementing best practices in data governance.
- Stay updated on emerging data analytics tools and methodologies to drive continuous improvement in analytics capabilities.
Qualifications
- Bachelorâs degree in Data Science, Statistics, Computer Science, Economics, or a related field. Masterâs degree is a plus.
- Minimum 3-5 years of experience in data analysis, preferably in a B2B or SaaS environment.
- Proficiency in SQL, Python (Pandas, NumPy), or R for data manipulation and analysis.
- Experience with data visualization tools such as Power BI, Tableau, or Looker.
- Strong understanding of statistical analysis, A/B testing, and predictive modeling.
- Excellent communication and storytelling skills to translate data into business insights for non-technical audiences.
- Familiarity with ETL processes, data warehousing (e.g., Snowflake, BigQuery), and cloud platforms (AWS, GCP).
- Ability to work independently in a remote setting with a proactive and results-oriented mindset.