Product Data Analyst
7 days ago
Are you passionate about leveraging data to drive consumer insights and business growth? We’re seeking a Data Product Analyst with a keen analytical mind to make a significant impact in the B2C space, particularly in Asian markets. Be part of our dynamic team and contribute to the future of data-driven excellence in consumer analytics
What we ask
- Bachelor’s or Master’s degree in mathematics, information management, statistics, or a related field.
- 5+ years of experience in data analysis, preferably within B2C analytics or consumer insights.
- Excellent communication skills and the ability to work collaboratively with diverse stakeholders.
- Strong analytical skills and experience with statistical analysis and data visualization tools such as SQL, Python, PowerBI, Databricks.
- Experience with data management & data modeling principles.
- Familiarity with consumer analytics platforms and methodologies.
- Experience working within an agile team environment is a plus.
What we offer
- Challenging Role: You’ll be part of a dynamic, international organization that places a premium on sustainability and innovation.
- Supportive Environment: Our work culture encourages continuous learning and provides opportunities for training and career advancement.
- Competitive Compensation: Enjoy a competitive salary and comprehensive benefits package.
- Work-Life Balance: We value work-life balance, offering flexible working hours and the option for remote work.
- Collaborative Atmosphere: Our friendly and informal work environment fosters collaboration among professional team members.
- Vacancy description
As a Data Product Analyst, your role encompasses analyzing data and designing data products to drive consumer insights and business growth. Key aspects of your responsibilities include:
Data Collection and Analysis:
- Gather data from various sources to identify trends and insights.
- Use statistical methods to analyze data and generate actionable insights that inform data product development.
Design Models & Analytics Products:
- Collaborate with marketing and product teams to identify areas for improvement and implement data-driven solutions.
- Discover analytics requirements & design data models, BI reports, or other analytics solutions that fulfill user needs and drive efficiency.
Collaboration and Communication:
- Work closely with commercial teams and analytics developers in an agile environment to deliver end-to-end analytics products.
- Communicate findings and recommendations clearly to both technical and non-technical audiences.
Continuous Learning:
- Stay abreast of the latest trends and technologies in data analytics in a B2C context.
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