Senior Data Analyst

Requirements

• Strong SQL skills — ability to work with large datasets and complex joins;
• Proficiency in Python for data analysis and automation (e.g., pandas, numpy, matplotlib/seaborn);
• Experience working with BI tools (e.g., Looker, Tableau, Power BI) to build dashboards and communicate insights;
• Solid understanding of statistics and experience applying it in business contexts (e.g., correlation, regression, distributions);
• Experience working with financial or operational data;
• Strong communication skills — you can present complex ideas clearly to both technical and non-technical audiences;
• Curiosity, ownership, and a problem-solving mindset.

Benefits

• Grow Together: Join a culture that champions both personal and professional growth.
• Lead by Example: No matter your role, your leadership matters. Every team member is empowered to inspire and make an impact.
• Results-Driven: We’re all about achieving meaningful outcomes. It’s not just about the effort, but the difference we make every day.
• We Are Well-Makers: Be part of a movement that’s creating a healthier, happier world. Together, we make well-being a reality!