**Experienced Data Analyst – Entry Level, No Experience Required**

Join arenaflex, a leading entertainment and media company, as a Data Analyst in our Studio Exploration and Examination team. As a key member of our team, you will play a vital role in analyzing and interpreting data to drive business decisions and improve the overall customer experience. **About arenaflex** arenaflex is a global leader in the entertainment and media industry, with a rich history spanning over 95 years. Our company has been the foundation on which arenaflex was built, and today we bring quality films, storytelling, music, and stage plays to customers all over the world. Our team of talented individuals is dedicated to creating exceptional stories and experiences that captivate audiences worldwide. **Job Overview** We are seeking a highly motivated and detail-oriented Data Analyst to join our team. As a Data Analyst, you will be responsible for analyzing and interpreting data to drive business decisions and improve the overall customer experience. You will work closely with our Disney+ Item teams to extract and analyze data from various sources, and provide insights and recommendations to inform business decisions. **Key Responsibilities** • Assist with a wide range of quantitative and qualitative analysis exercises, including data collection and preparation, data extraction and analysis, and data visualization. • Collaborate with cross-functional teams to design and implement research studies, and communicate project objectives, business requirements, and timelines to stakeholders. • Develop and maintain relationships with research partners within the organization and external vendors. • Analyze and interpret data to identify trends and insights, and provide recommendations to inform business decisions. • Manage assigned projects, conduct quality control checks, and report progress to supervisors to ensure timely completion. • Work closely with the Sr. Administrator and team to ensure that all results are actionable and drive key business decisions. • Stay up-to-date with industry trends and best practices in data analysis and visualization. **Essential Qualifications** • Bachelor's degree in Business, Statistics, Economics, Mathematics, Computer Science, or related field. • 3 years of relevant work experience in data analysis, or 1 year of experience with a graduate degree. • Proficiency in SQL, with the ability to extract and combine data from various sources. • Strong quantitative thinking and analytical skills. • Ability to work quickly and efficiently in a fast-paced environment. • Excellent communication and presentation skills, with the ability to create clear and concise visualizations. **Preferred Qualifications** • Experience with data analysis tools (e.g. SPSS, Q, MarketSight). • Experience with survey tools (e.g. Interpret, Qualtrics, SurveyMonkey). • Experience working with large datasets and big data technologies, such as Snowflake, Databricks, or similar. • Experience with programming languages (e.g. R, Python, SAS, STATA). • Postgraduate education in Statistics or Mathematics. • Quantitative analysis background, either on the provider side or client-side. • Experience with analyzing survey data to extract meaningful insights. • Experience with membership-based business models and strategies. **Work Environment and Culture** arenaflex is an equal opportunity employer, and we are committed to creating a diverse and inclusive work environment. Our team is passionate about creating exceptional stories and experiences that captivate audiences worldwide. We offer a dynamic and collaborative work environment, with opportunities for growth and development. **Compensation and Benefits** The base salary for this position is $93,400 to $125,200 per year, depending on experience and qualifications. A bonus or long-term incentive units may be offered as part of the compensation package, in addition to a comprehensive range of benefits, including health, financial, and other perks. **How to Apply** If you are a motivated individual with a passion for data analysis and a desire to contribute to a thriving team, we encourage you to apply now! Please submit your application, including your resume, cover letter, and any relevant documents, to our online portal. Apply Now! We look forward to reviewing your application and welcoming you to our team! Apply for this job