Experienced Full Stack Data Analyst – Remote Data Entry Jobs at arenaflex
Join arenaflex, a global leader in entertainment, media, and consumer products, as a Full Stack Data Analyst in our Digital and Travel Operations Analytics group. As a key member of our team, you will play a vital role in driving business outcomes and guest experiences through actionable data analytics, integration, and insights.
About arenaflex
arenaflex is a global entertainment and media conglomerate that creates and delivers unparalleled entertainment experiences to audiences around the world. Our company is home to some of the most beloved brands and franchises in the industry, including Disney, Pixar, Marvel, Star Wars, and more. We are committed to innovation, creativity, and excellence in everything we do.
About the Role
As a Full Stack Data Analyst at arenaflex, you will be responsible for analyzing and interpreting complex data sets to inform business decisions and drive growth. You will work closely with cross-functional teams to develop and implement data-driven solutions that improve guest experiences and business outcomes. Your expertise will be essential in helping us to optimize our operations, identify new opportunities, and stay ahead of the competition.
Key Responsibilities
* Conduct forecasting, ad-hoc modeling, and deep-dive analysis to inform business decisions
* Analyze agent performance, proactively identify areas that require further research, and own analyses from start to finish
* Build displays and visualizations to inform compelling stories with data
* Present and communicate findings, insights, and recommendations to Senior Leadership and partners
* Build, maintain, audit, and continuously optimize reports and documents used to support multiple programs
* Manage projects essential to the business operation correctly under strict timelines
Measurement and Analytics
* Leverage multiple reporting structures and databases (Tableau, Snowflake, Hadoop, Dataiku, Excel, etc.) for behavior analyses and build/preserve reports
* Supervise data quality and record accuracy
* Collaborate with team, leaders, and business partners to respond to summary business questions with sound quantitative analyses and reproducible results
* Apply modern analytic techniques to test hypotheses and extract actionable insights
* Stay up-to-date with current data science trends and share expertise and best practices with team members
Required Qualifications & Skills
* 2+ years of quantitative, non-internship experience in forecasting and analytics
* Experience with time series forecasting techniques and modeling using machine learning or deep learning techniques
* Proficient in Python
* Proactive interest to understand the "Why" behind performance, decisions, etc.
* Strong interest in details and ability to observe through tasks and complete tasks on time
* Effective verbal, written, and visual skills
* Desire to excel in a fast-paced, and ambiguous business environment
Preferred Qualifications
* Solid expertise in statistical inference and applying statistical rigor to analyses
* Knowledge of data visualization best practices and experience with data visualization tools, including Tableau or Power BI
* Excellent SQL skills
* Graduate degree and/or 4+ years of proven experience in analytics or data science
Education
* Bachelor's degree or equivalent
Compensation & Benefits
The base pay provided will consider internal fairness and may vary depending on the candidate's geographic region, job-associated knowledge, skills, and experience among other factors. A bonus and/or long-term performance incentive devices may be provided as part of the compensation package, similar to the entire range of medical, financial, and/or other benefits, depending on the scope and role provided.
Work Environment & Culture
arenaflex is an equal opportunity employer. We value diversity and encourage individuals from all backgrounds to apply. Our company is committed to creating a work environment that is inclusive, respectful, and supportive of all employees. We offer a range of benefits and perks, including flexible work arrangements, professional development opportunities, and a comprehensive compensation package.
How to Apply
If you are a motivated and detail-oriented individual with a passion for data analysis and business growth, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role. We look forward to hearing from you!