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

Are you a detail-oriented and analytical individual with a passion for data analysis and problem-solving? Do you have a strong background in SQL and experience working with cross-functional teams? If so, we have an exciting opportunity for you to join arenaflex as a Full Stack Data Analyst. **About arenaflex** arenaflex is a leading technology company that is revolutionizing the way we interact with data. With a focus on innovation and customer satisfaction, we are constantly pushing the boundaries of what is possible with data analysis and visualization. Our team of experts is dedicated to delivering high-quality solutions that meet the evolving needs of our customers. **Job Description** We are seeking a highly skilled Full Stack Data Analyst to join our team of experts in data analysis and visualization. As a Full Stack Data Analyst, you will be responsible for designing and implementing measurement and dashboard requirements, improving existing estimation frameworks and tools, and enhancing data answers for budget and mission estimation. You will work closely with our marketing effort leaders, teams, and central analysis group to gather data and measurement needs. **Key Responsibilities** - Collaborate with marketing effort leaders, teams, and our central analysis group to gather data and measurement needs. - Oversee and improve integrated reporting for internal marketing spend and performance. Lead reviews, improve data processes encompassing data flow, and ensure data accuracy. - Oversee in-house processes for marketing experimentation. Track and log ongoing studies/tests across arenaflex, Instagram, and Courier. Build automation to improve data precision and flexibility. - Write effective SQL queries to retrieve and analyze data from database tables. - Work with our analysis and cross-functional partners to identify and correct data accuracy/precision issues across our reporting, data framework, dashboards. **Essential Qualifications** - Bachelor's degree in Computer Science, Mathematics, Statistics, or related field. - 2+ years of experience in SQL (Prophet, Vertica, Hive, MySQL, etc.). - Experience working with cross-functional teams. - Experience building/working distributed frameworks of data extraction, ingestion, and handling of large data sets from multiple sources. - Self-starter with adaptability to work in a fast-changing environment and uncertain circumstances. - Experience working independently and a history of taking initiative. - Strong presentation and interpersonal skills. **Preferred Qualifications** - Master's degree in Computer Science, Mathematics, Statistics, or related field. - Experience with data visualization tools such as Tableau, Power BI, or D3.js. - Experience with cloud-based data platforms such as Amazon Web Services (AWS) or Google Cloud Platform (GCP). - Experience with agile development methodologies such as Scrum or Kanban. - Certification in data science or related field. **Career Growth Opportunities and Learning Benefits** At arenaflex, we believe in investing in our employees' growth and development. As a Full Stack Data Analyst, you will have opportunities to work on high-profile projects, collaborate with cross-functional teams, and develop your skills in data analysis and visualization. We offer a comprehensive training program, mentorship opportunities, and a competitive salary and benefits package. **Work Environment and Company Culture** arenaflex is a dynamic and innovative company that values diversity, equity, and inclusion. We offer a collaborative and supportive work environment, flexible working hours, and a range of benefits, including health insurance, retirement savings plan, and paid time off. Our company culture is built on the principles of teamwork, innovation, and customer satisfaction. **Compensation, Perks, and Benefits** We offer a competitive salary of $26/hour, plus a range of benefits, including: - Comprehensive health insurance - Retirement savings plan - Paid time off - Flexible working hours - Professional development opportunities - Access to cutting-edge technology and tools - Collaborative and supportive work environment **How to Apply** If you are a motivated and detail-oriented individual with a passion for data analysis and problem-solving, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! **Apply Now!** Apply! Apply for this job