• Proactively define the analyses and experiments needed for the success of the Abley team, explore various data, and actively propose projects / services / features that align with the team's goals.
• Deliver meaningful insights gained from data analysis in structured materials to enhance the understanding of business among team members.
• Support members in discussing problem-solving methods from various perspectives by analyzing problem situations from multiple angles.
Let me introduce the team you will be joining
• Abley's data analysts belong to a chapter organized with squads and data analysts focused on problem-solving.
• As a data analyst in a purpose-driven squad,
- You will work as a team with colleagues from various disciplines such as PO / Engineers / Designers / Marketers to solve business problems based on each other's strengths and expertise.
- You will lead A to Z of data analysis, from planning analysis and experiments to measuring results and participating in decision-making, with a strong sense of ownership and dedication to your work.
• As a data analyst in the functional chapter,
- You will share various expertise and insights and think about ways to make a greater impact on squad operations.
Here are the tasks you will be doing
• Proactively define the analyses and experiments needed for the success of the Abley team, explore various data, and actively propose projects / services / features that align with the team's goals.
• Deliver meaningful insights gained from data analysis in structured materials to enhance the understanding of business among team members.
• Support members in discussing problem-solving methods from various perspectives by analyzing problem situations from multiple angles.
We would like to work with someone who
• Resonates with Abley's organizational culture, willing to work GRIT as One Team and create impact.
• Has experience in the entire data analysis process from data cleaning, problem definition, insight generation to action item presentation.
• Can extract and process necessary data using SQL and Python.
• Can communicate complex analysis results smoothly to colleagues from diverse disciplines.
• Has an understanding of commerce and platform data would be a plus.
• Has thoughtfully considered aspects like building metric systems, improving data accessibility, and enhancing data literacy would be even better.
Here is the joining process
• Document screening → Preliminary assignment → Job and cultural fit interview (video call) → Final interview (video call) → Final acceptance
• If you are curious about the details, please check the joining process guide.
• If you have questions regarding the recruitment, please check the frequently asked questions.
- Regarding reapplication eligibility, hiring lead time, notification of screening results, etc.
