At careerzynith, we're on a mission to revolutionize the way people shop and live. As a leading e-commerce company, we're constantly pushing the boundaries of innovation and excellence. We're now seeking an exceptional Senior Data Analyst to join our Inquiry and Suggestions Examination team, where you'll play a pivotal role in shaping the future of our product suggestions.

About careerzynith

careerzynith is a dynamic and forward-thinking company that's passionate about delivering exceptional customer experiences. With a strong focus on innovation, collaboration, and growth, we're committed to creating a workplace that's inclusive, diverse, and rewarding. Our team of talented professionals is dedicated to making a meaningful impact, and we're excited to welcome like-minded individuals who share our vision.

Job Summary

We're searching for a highly energetic and solution-oriented Senior Data Analyst to join our team. As a key member of our Inquiry and Suggestions Examination group, you'll work closely with a high-performing team of designers, AI engineers/data scientists, and product managers who are at the forefront of the product recommendation space. Your primary responsibilities will include:

• Designing, running, and analyzing the results of A/B tests of new recommendation algorithms and techniques
• Developing new testing and test analysis systems
• KPI reporting and monitoring, including anomaly detection tools and advanced estimation approaches
• Exploratory data analysis (e.g., clustering/segmentation) to uncover new insights and inform our product recommendation guide
• Utilizing and developing our in-house automated tools, such as a QA tool to better understand the performance of our new algorithms before A/B testing them

Key Responsibilities

* Run unconditional exploratory data analysis to identify novel ideas and potential opportunities

• Plan and run A/B tests of our latest recommendation algorithms
• Proactively monitor our recommendation models to identify potential issues, determine underlying drivers, and resolve
• Develop new tools that enable us to be more efficient and productive
• Collaborate closely and build effective relationships with our product, design, and AI partners
• Communicate key findings and recommendations to cross-functional senior leaders across the organization

Requirements

* Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science)

• Experience with SQL (full capabilities, query development, stored procedures, string parsing, Vertica/Hive/Voila/Flash, etc.)
• Experience with Python and Python tools (Jupyter notebook, libraries, pandas, scikit-learn, matplotlib, etc.)
• Experience with A/B testing and statistical analysis to drive business-driven decision-making (highly preferred)
• Familiarity with AI algorithms/methods (decision trees, random forests, deep learning, etc.) within a business setting (highly preferred)
• Strong written and verbal communication skills with a collaborative mindset
• Ability to work collaboratively and proactively with partners
• Demonstrated history of taking ownership and driving results in a fast-paced environment
• Strong business acumen, analytical skills, and technical abilities, along with critical thinking skills

What We Offer

* Competitive salary and benefits package

• Opportunity to work with a dynamic and innovative team
• Collaborative and inclusive work environment
• Professional growth and development opportunities
• Recognition and rewards for outstanding performance
• Flexible work arrangements, including remote work options
• Access to cutting-edge technology and tools
• Comprehensive training and support
• Recognition and rewards for outstanding performance

Equal Employment Opportunity

careerzynith is committed to providing equal employment opportunities to all individuals, including those with disabilities. As part of this commitment, we will provide reasonable accommodations to qualified individuals with disabilities, unless doing so would impose an undue hardship on the business.

How to Apply

If you're ready to take on this exciting challenge, apply now and let's discuss how you can become a vital part of our success story. Apply for this job