**Experienced Full Stack Data Entry Specialist – Retail Media Insights and Analytics**

Remote, USA Full-time
At arenaflex, we're revolutionizing the retail media landscape with our innovative approach to data-driven decision making. As a key member of our team, you'll play a vital role in driving business growth and success through the analysis and interpretation of complex data sets. If you're a detail-oriented and analytical individual with a passion for data, we want to hear from you! **About arenaflex** arenaflex is a leading retail media company, dedicated to providing cutting-edge solutions for our clients. With a strong presence in the US market, we're committed to delivering exceptional results and exceeding our customers' expectations. Our team is comprised of talented individuals from diverse backgrounds, united by a shared passion for innovation and excellence. **Job Summary** We're seeking an experienced Full Stack Data Entry Specialist to join our team in New York, USA. As a key member of our data analytics team, you'll be responsible for extracting, analyzing, and interpreting large data sets to inform business decisions. This is a part-time, remote position, offering a competitive hourly rate of $23. **Key Responsibilities** As a Full Stack Data Entry Specialist, you'll be responsible for: ### Information Extraction * Identify and extract relevant information from various sources, including databases, spreadsheets, and other data repositories * Compile and analyze data to provide insights and recommendations to stakeholders * Develop and maintain accurate and up-to-date data sets, ensuring data quality and integrity ### Information Perception and Revealing * Design and develop visually appealing and informative dashboards and reports to communicate key findings to stakeholders * Ensure precision and clarity in data presentation, empowering informed decision making at all levels of the organization * Collaborate with cross-functional teams to streamline data collection, storage, and analysis processes ### Cross-Functional Collaboration * Work closely with cross-functional teams, including Product, Marketing, Sales, Operations, and Data Science, to ensure seamless data flow and analysis * Provide expertise and guidance on data-related projects and initiatives * Foster a culture of collaboration and knowledge sharing within the team ### Data Quality Assurance and Integrity * Execute thorough quality assurance processes to maintain the accuracy, reliability, and integrity of data used for analysis and reporting * Identify potential data discrepancies and recommend corrective actions to mitigate them * Develop and implement data quality control measures to ensure data consistency and accuracy **Essential Qualifications** * 4+ years of experience in SQL with Large Query or similar platforms * 4+ years of experience in data visualization tools, such as Tableau, Power BI, Looker, or similar platforms * 4+ years of experience in leading data analysis and interpretation * 4+ years of experience with Microsoft Office, particularly Excel and PowerPoint **Preferred Qualifications** * Understanding and experience working with digital media tech stack * Familiarity with DMPs/DSPs/SSPs/Google Cloud Platform/Adobe Marketing Cloud * Ability to collaborate effectively within a team and across functions * Bachelor's degree in a relevant field or equivalent experience **What We Offer** * Competitive hourly rate of $23 * Part-time, remote work arrangement * Opportunity to work with a leading retail media company * Collaborative and dynamic work environment * Professional development and growth opportunities * Comprehensive benefits package, including health, dental, and vision insurance * 401(k) retirement plan with company match * Paid time off and holidays **How to Apply** If you're a motivated and detail-oriented individual with a passion for data, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you! Apply Now! Apply for this job
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