**Experienced Full Stack Data Analyst – Econometrics and Business Intelligence for blithequark's Gadgets Business**

Remote Full-time
**About blithequark** blithequark is a leading e-commerce company that strives to be Earth's most customer-driven organization, where individuals can find and discover anything they need to purchase online. We employ the world's most brilliant minds, offering them a fast-paced, innovative, and friendly work environment. blithequark's Gadgets Buddy Item and Service team is dedicated to developing stages that delight customers by removing friction they have in providing, engaging, and managing the home and beyond. **Job Summary** We are seeking an experienced Full Stack Data Analyst to join our Gadgets Buddy Item and Service team at blithequark. As a key member of our team, you will play a crucial role in supporting various data science decision-making groups for gadget sidekick item development based on different variables, such as gadget cost, stock, traffic, affordability, expansion, and more. You will utilize Science and Tools created by the Gadgets Finance team, such as conjoint interest models, to deliver buddy item proposals. As a part of the partner-facing arm of the group, you will possess associations with leaders to assist with improving end-clients experience and enhance Association System with more information and Science-driven. In equal, you will work with Applied Researchers, Financial experts, and Software Developers to provide valuable feedback about partner issues to inform business decisions and increase the speed, quality, and expansion behind our proposals. You will also lead projects to drive progress on Choice Science itself. Through this, we will invest in your development to pursue your career objectives. **Key Responsibilities** * Support various data science decision-making groups for gadget sidekick item development based on different variables, such as gadget cost, stock, traffic, affordability, expansion, and more. * Utilize Science and Tools created by the Gadgets Finance team, such as conjoint interest models, to deliver buddy item proposals. * Possess associations with leaders to assist with improving end-clients experience and enhance Association System with more information and Science-driven. * Work with Applied Researchers, Financial experts, and Software Developers to provide valuable feedback about partner issues to inform business decisions and increase the speed, quality, and expansion behind our proposals. * Lead projects to drive progress on Choice Science itself. * Develop and maintain a deep understanding of the Gadgets business, including market trends, customer behavior, and competitor analysis. * Collaborate with cross-functional teams, including Marketing, Sales, and Product Development, to ensure alignment and effective communication. * Develop and maintain a strong network of relationships with stakeholders, including leaders, researchers, and developers. * Stay up-to-date with the latest advancements in data science, econometrics, and business intelligence, and apply this knowledge to drive business growth and innovation. **Essential Qualifications** * 3+ years of experience as a data researcher or in a related field. * 3+ years of experience with data querying languages (e.g., SQL), pre-processing languages (e.g., Python), or statistical/numerical programming (e.g., R, SAS, Matlab, etc.). * 3+ years of experience with AI/measurable modeling data investigation tools and strategies, and boundaries that influence their performance. * Experience applying hypothetical models in an applied climate. * 3+ years of involvement with a partner or client-facing expert or researcher job, and involvement in business organization. **Preferred Qualifications** * Experience in Python, Perl, or another pre-processing language. * Experience in a ML or data researcher job with a large technology organization. * Experience creating trial and scientific designs for data modeling processes, utilization of solid baselines, ability to decide circumstances and logical results relations precisely. **Skills and Competencies** * Strong understanding of data science, econometrics, and business intelligence principles and practices. * Excellent analytical, problem-solving, and communication skills. * Ability to work effectively in a fast-paced, dynamic environment. * Strong collaboration and teamwork skills. * Ability to adapt quickly to changing priorities and deadlines. * Strong business acumen and understanding of the Gadgets business. * Ability to develop and maintain a deep understanding of the Gadgets business, including market trends, customer behavior, and competitor analysis. **Career Growth Opportunities and Learning Benefits** * Opportunities for professional growth and development in a dynamic and innovative company. * Access to cutting-edge training and development programs to enhance your skills and knowledge. * Collaborative and supportive work environment with a diverse team of professionals. * Opportunities to work on high-impact projects and contribute to business growth and innovation. * Recognition and rewards for outstanding performance and contributions. **Work Environment and Company Culture** * blithequark is a fast-paced, innovative, and friendly work environment. * Collaborative and supportive team culture with a diverse group of professionals. * Opportunities for professional growth and development in a dynamic and innovative company. * Access to cutting-edge training and development programs to enhance your skills and knowledge. * Recognition and rewards for outstanding performance and contributions. **Compensation, Perks, and Benefits** * Competitive salary and benefits package. * Opportunities for professional growth and development in a dynamic and innovative company. * Access to cutting-edge training and development programs to enhance your skills and knowledge. * Collaborative and supportive work environment with a diverse team of professionals. * Recognition and rewards for outstanding performance and contributions. **How to Apply** If you are a motivated and experienced data analyst with a passion for econometrics and business intelligence, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply for this job
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