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 critical role in driving business growth and innovation by uncovering insights and patterns in complex data sets. If you're passionate about data analysis, business intelligence, and driving results, we want to hear from you!

About arenaflex

arenaflex is a leading innovator in the private sector, dedicated to pushing the boundaries of what's possible. Our team of experts is passionate about harnessing the power of data to drive business success. With a strong focus on collaboration, innovation, and continuous learning, we're committed to creating a workplace that inspires and empowers our employees to reach their full potential.

Job Summary

We're seeking an experienced Full Stack Data Analyst to join our team in Santa Monica, USA. As a Senior Data Analyst, you'll be responsible for analyzing complex data sets, identifying trends and patterns, and developing actionable insights to drive business growth and innovation. You'll work closely with cross-functional teams to design and implement data-driven solutions, and collaborate with stakeholders to communicate findings and recommendations.

Key Responsibilities

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

• Answer complex business questions and provide expert knowledge on various business streams on D+ and Hulu to enhance the 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 techniques (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 scientific 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 strong SQL, Python, or R skills for complex querying, high-level analysis, performance optimization, and working with large datasets
• Experience delivering end-to-end analysis projects: taking them from unclear requirements to a compelling story, open across different audiences, and eventually 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-HAVES

* Master's degree in a scientific field

• Demonstrated data visualization skills with tools such as 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
• Humor
• Unique interests or areas of expertise that impact the way you interact with others and tackle your work

What We Offer

* Competitive hourly rate of $25/hour

• Flexible part-time schedule with 8 hours of work per week
• Opportunity to work with a dynamic and innovative team
• Collaborative and inclusive work environment
• Professional development and growth opportunities
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off

How to Apply

If you're passionate about data analysis, business intelligence, and driving results, 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