Experienced Full Stack Data Analyst – Business Intelligence and Analytics

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a Senior Data Analyst, you'll play a pivotal role in driving business growth and success by uncovering insights and trends in our vast datasets. If you're passionate about data analysis, have a keen eye for detail, and a knack for storytelling, we want to hear from you.

About arenaflex

arenaflex is a leading innovator in the entertainment industry, pushing the boundaries of what's possible in storytelling and customer experience. With a rich history of innovation and a commitment to excellence, we're always looking for talented individuals who share our passion for creativity and data-driven decision-making.

Job Summary

We're seeking an experienced Full Stack Data Analyst to join our team of data enthusiasts. As a Senior Data Analyst, you'll be responsible for analyzing complex data sets, identifying trends and patterns, and developing actionable insights to inform business decisions. You'll work closely with cross-functional teams to drive business growth, improve customer experience, and optimize operations.

Key Responsibilities

* Assemble comprehensive analyses, data visualizations, and multi-functional reporting that provide critical support to business initiatives and decision-making processes

• Answer business-critical questions and provide expert knowledge on various business streams on D+ and Hulu to enhance customer experience and drive conversions
• Advance the scientific capabilities of the business, collaborate in the design of analytical solutions, and deliver exceptional data insights and products
• Utilize data visualization tools, SQL, and programming languages to access and analyze structured and unstructured data
• Apply statistical methods (t-test, chi-square, ANOVA, correlation, regression, factor analysis, etc.) to understand customer behavior and preferences, and drive business impact across the organization

Essential Qualifications

* Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering)

• 3+ years of professional experience as a data analyst in an analytics and data science space with expertise in SQL, Python, or R for complex querying, high-level analysis, performance optimization, and working with data at scale
• Experience delivering end-to-end analysis projects: from unclear requirements to a compelling story, accessible to diverse audiences, and ultimately to a clear business outcome
• Excellent communication and interpersonal (written and oral) skills, with the ability to build strong working relationships with colleagues, stakeholders, and technical partners
• Ability to present to senior leadership

Good to Have

* Master's degree in a quantitative field

• Demonstrated data visualization skills with tools like Matplotlib, Seaborn, Looker, MicroStrategy, Plotly, etc.
• Experience with marketing landing pages, join channels, and business spaces
• Ability to identify and properly escalate issues to management
• Counseling background, MBA, or other multi-industry experience
• Strong motivation and ability to work independently
• Exceptional written and oral communication skills
• Sense of humor
• Unique interests or areas of expertise that impact the way you interact with others and tackle business challenges

What We Offer

* Competitive salary and benefits package

• Opportunity to work with a leading innovator in the entertainment industry
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible work arrangements, including remote work options
• Access to cutting-edge tools and technologies
• Recognition and rewards for outstanding performance

How to Apply

If you're a motivated and detail-oriented data analyst with a passion for storytelling and a knack for data-driven decision-making, we want to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you! Apply for this job