Experienced Full Stack Data Analyst – Business Intelligence and Analytics

At arenaflex, we're on a mission to revolutionize the way we understand and interact with data. As a Senior Data Analyst, you'll play a pivotal role in driving business growth and decision-making through data-driven insights. If you're passionate about extracting valuable information from complex data sets and communicating your findings to stakeholders, we want to hear from you!

About arenaflex

arenaflex is a leading innovator in the private sector, dedicated to harnessing the power of data to drive business success. Our Immediate to Buyer Item and Tech Examination group is at the forefront of this effort, working tirelessly to uncover new opportunities and optimize existing processes. As a Senior Data Analyst, you'll be part of a dynamic team that's passionate about using data to tell stories and drive business outcomes.

Job Summary

We're seeking an experienced Senior Data Analyst to join our team on a part-time basis (8 hours/week). As a key member of our business intelligence and analytics team, you'll be responsible for:

• Assembling complex data sets, creating informative visualizations, and developing multi-functional reporting that informs business decisions
• Providing expert analysis and insights on various business streams, including D+ and Hulu, to enhance the customer experience and drive conversions
• Advancing the scientific capabilities of the business, collaborating on the design of analytical solutions, and delivering actionable data insights and products
• Utilizing data visualization tools, SQL, and programming languages to access and analyze structured and unstructured data
• Applying statistical techniques (t-test, chi-square, ANOVA, correlation, regression, and more) to understand customer behavior and drive business impact

Responsibilities

* Assemble complex data sets, create informative visualizations, and develop multi-functional reporting that informs business decisions

• Provide expert analysis and insights on various business streams, including D+ and Hulu, to enhance the customer experience and drive conversions
• Advance the scientific capabilities of the business, collaborate on the design of analytical solutions, and deliver actionable 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, and more) to understand customer behavior and drive business impact
• Develop and maintain complex data models, ensuring data accuracy and integrity
• Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions
• Present findings and recommendations to senior leadership, using clear and compelling storytelling techniques

Requirements

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

• 3+ years of 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, and data visualization
• Proven track record of delivering end-to-end analysis projects, from unclear requirements to actionable business insights
• Excellent communication and interpersonal skills, with the ability to build strong relationships with colleagues, stakeholders, and technical partners
• Experience with data visualization tools, including Matplotlib, Seaborn, Looker, MicroStrategy, Plotly, and more
• Familiarity with marketing landing pages, customer journey analysis, and business intelligence platforms
• Strong analytical and problem-solving skills, with the ability to identify and address complex business issues
• Experience with data storytelling, presentation design, and communication of complex data insights to non-technical stakeholders

Nice to Have

* Master's degree in a quantitative field

• Experience with data science tools, including machine learning algorithms and deep learning techniques
• Familiarity with cloud-based data platforms, such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)
• Experience with data governance, data quality, and data management best practices
• Strong business acumen, with a deep understanding of business operations and strategy
• Experience with agile development methodologies and data-driven decision-making

What We Offer

* Competitive hourly rate of $25/hour

• Flexible part-time schedule (8 hours/week)
• Opportunity to work with a dynamic and innovative team
• Collaborative and supportive 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 a motivated and analytical individual with a passion for data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and a portfolio of your work to [insert contact information]. We can't wait to hear from you! Apply for this job