**Experienced Full Stack Data Analyst – Web & Cloud Application Development**

At arenaflex, we're on a mission to revolutionize the way we understand and interact with our customers. As a key member of our Data Ventures team, you'll play a pivotal role in shaping the future of retail, tech, and beyond. We're seeking an experienced Full Stack Data Analyst to join our dynamic team, working closely with cross-functional groups to drive business decisions and drive growth. **About arenaflex** arenaflex is a leading retail and technology company, dedicated to helping people save money so they can live better. Our mission is at the heart of every decision we make, from responsible sourcing to sustainability. As a partner at arenaflex, you'll be part of a team that's shaping the future of retail, tech, marketing, finance, and more – all while making a real difference in the lives of millions of customers worldwide. **Job Summary** As a Full Stack Data Analyst, you'll be responsible for researching, gathering, and analyzing customer data to drive business decisions and drive growth. You'll work closely with our Data Ventures team, collaborating with cross-functional groups to develop and implement data-driven solutions that meet the needs of our customers and stakeholders. Your expertise will be essential in shaping the future of our business, driving innovation, and ensuring the success of our customers. **Key Responsibilities** * Research, gather, and analyze customer data to drive business decisions and drive growth * Develop and implement data-driven solutions that meet the needs of our customers and stakeholders * Collaborate with cross-functional groups to develop and implement data-driven solutions * Work closely with our Data Ventures team to drive business decisions and drive growth * Analyze complex data sets to identify trends, patterns, and insights that inform business decisions * Develop and maintain data visualizations, reports, and dashboards to communicate insights and recommendations to stakeholders * Collaborate with data scientists, engineers, and analysts to develop and implement data-driven solutions * Stay up-to-date with industry trends, best practices, and emerging technologies to drive innovation and growth **Essential Qualifications** * Bachelor's degree in Business, Engineering, Statistics, Finance, Mathematics, Computer Science, or related field * 2+ years of experience in data analysis, data science, or related field * Strong analytical and problem-solving skills, with the ability to communicate complex insights and recommendations to stakeholders * Experience with data visualization tools, such as Power BI, Tableau, or D3.js * Strong SQL skills, with experience working with large datasets and complex queries * Experience with programming languages, such as Python, R, or SQL * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams **Preferred Qualifications** * Master's degree in Business, Engineering, Statistics, Finance, Mathematics, Computer Science, or related field * Experience with machine learning algorithms and techniques * Experience with cloud-based data platforms, such as AWS or Google Cloud * Experience with data warehousing and ETL processes * Experience with data governance and quality assurance * Strong knowledge of statistics and data modeling * Experience with data visualization tools, such as Power BI, Tableau, or D3.js **Skills and Competencies** * Strong analytical and problem-solving skills, with the ability to communicate complex insights and recommendations to stakeholders * Experience with data visualization tools, such as Power BI, Tableau, or D3.js * Strong SQL skills, with experience working with large datasets and complex queries * Experience with programming languages, such as Python, R, or SQL * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams * Experience with cloud-based data platforms, such as AWS or Google Cloud * Experience with data warehousing and ETL processes * Experience with data governance and quality assurance * Strong knowledge of statistics and data modeling **Career Growth Opportunities and Learning Benefits** * Opportunities for career growth and advancement, with a focus on developing skills and expertise in data analysis, data science, and related fields * Access to training and development programs, including online courses, workshops, and conferences * Opportunities to work on high-impact projects and initiatives, with a focus on driving business growth and innovation * Collaborative and dynamic work environment, with a focus on teamwork and collaboration * Recognition and rewards for outstanding performance and contributions **Work Environment and Company Culture** * arenaflex is an equal opportunity employer, committed to diversity, equity, and inclusion * Collaborative and dynamic work environment, with a focus on teamwork and collaboration * Opportunities for career growth and advancement, with a focus on developing skills and expertise in data analysis, data science, and related fields * Access to training and development programs, including online courses, workshops, and conferences * Recognition and rewards for outstanding performance and contributions **Compensation, Perks, and Benefits** * Competitive salary and benefits package, including health insurance, retirement plan, and paid time off * Opportunities for career growth and advancement, with a focus on developing skills and expertise in data analysis, data science, and related fields * Access to training and development programs, including online courses, workshops, and conferences * Recognition and rewards for outstanding performance and contributions * Collaborative and dynamic work environment, with a focus on teamwork and collaboration **How to Apply** If you're passionate about data analysis, data science, and driving business growth, we want to hear from you! To apply, please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply Job! Apply for this job