about the company.
Internet
about the team.
Data
about the job.
1. Data Exploration and Analysis: Leverage statistical tools and techniques to thoroughly explore and analyze datasets,
identifying key patterns, relationships, and trends that drive business growth and improve user experience.
...
2. Data Cleaning and Preparation: Ensure data quality and relevance by filtering data, handling missing values, and meticulously preparing datasets for analysis.
3. Data Visualization: Develop compelling visual representations of data insights, including charts, graphs, and interactive dashboards, to effectively communicate findings to diverse audiences.
4. Reporting and Communication: Prepare comprehensive reports and presentations that clearly articulate data insights and findings to stakeholders, influencing data-driven decision-making processes.
5. Cross-functional Collaboration: Partner with various departments to understand their data requirements and provide
actionable insights that empower informed decision-making across the organization.
skills and experience required.
1. Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
2. Extensive experience (5+ years) as a Data Analyst or in a similar analytical role within the Tech (e-commerce search/rcmd/ads/AI is preferred) industry, demonstrating increasing levels of responsibility
3. Expert proficiency in statistical analysis tools and programming languages, including Python and SQL.
4. Proven ability to lead data exploration, analysis, and visualization efforts, with a strong track record of extracting actionable insights from large and complex datasets.
5. Experience with data cleaning and preparation techniques and familiarity with database management systems. Knowledge of data warehousing concepts is a plus.
6. Demonstratedability to work both independently and collaboratively within team.
7. Highly effective communication and presentation skills, with the ability to convey complex data insights clearly to diverse audiences, contributing to a data-driven environment within the organization.
