Senior Data Analyst - Business Intelligence & Analytics for Streaming Services - Remote Work From Home Position at arenaflex

Welcome to an exciting opportunity to join arenaflex as a Senior Data Analyst! Are you passionate about transforming raw data into actionable business insights? Do you thrive in a fast-paced, innovative environment where your analytical skills can drive real business impact? If so, we want to hear from you! At arenaflex, we are revolutionizing the entertainment and technology landscape. As a global leader in streaming services and digital content delivery, we serve millions of customers worldwide who rely on our platforms for their entertainment needs. Our mission is to deliver exceptional user experiences while continuously improving our product offerings through data-driven decision making. We are currently seeking a talented and motivated Senior Data Analyst to join our Product and Technology Analytics team. In this critical role, you will be instrumental in supporting our business through advanced estimation, comprehensive investigation, and insightful knowledge generation for our subscription and conversion product surface areas. This is a remote position that offers the flexibility of working from home while contributing to meaningful projects that directly impact our business growth. Position Overview As a Senior Data Analyst at arenaflex, you will play a pivotal role in addressing key business questions regarding the performance of various subscription and conversion streams across our streaming platforms. You will be responsible for identifying patterns in both structured and unstructured data, developing strategic recommendations to improve business performance, and driving the use of analytics as a key revenue driver to increase customer acquisitions and business conversions across several newly expanded global tiering initiatives.

What You'll Do

As an integral part of our analytics team, you will be expected to:

• Build comprehensive analyses, data visualizations, and cross-functional reporting that provide critical support to operations and decision-making for our subscription and conversion product spaces. Your work will directly influence strategic planning and operational efficiency across multiple departments.
• Answer core business questions and provide analytical expertise on the various conversion streams across our streaming platforms to improve customer experience and increase transformations. You will serve as a trusted advisor to business stakeholders, translating complex data into actionable recommendations.
• Advance the analytical capabilities of the business by collaborating on the design of diagnostic solutions and delivering exceptional data insights and products. You will mentor junior analysts and contribute to the overall analytical maturity of the organization.
• Utilize data visualization tools, SQL, and scripting languages to access and analyze structured and unstructured data. You will be comfortable working with large datasets and extracting meaningful patterns from complex data sources.
• Apply descriptive and inferential statistics including t-tests, chi-square tests, ANOVA, correlation analysis, regression, factor analysis, and other statistical methods to understand partner behaviors and value propositions, making a significant impact across the business.
• Develop and maintain automated dashboards that provide real-time visibility into key performance metrics and business KPIs, enabling stakeholders to monitor performance and identify trends proactively.
• Collaborate with cross-functional teams including Product, Engineering, Marketing, and Finance to drive alignment on analytical initiatives and ensure data-driven decision making is embedded across the organization.

What to Bring We are looking for candidates who possess the following qualifications and skills:

• Unbounded curiosity, high intellectual and analytical strength, and a passionate pursuit of analysis-driven insights and business results. You should have a natural inclination to question assumptions and dig deeper to uncover the "why" behind the data.
• A Bachelor's degree in an analytical field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Equivalent professional experience will also be considered.
• 3+ years of professional experience as an analyst in a data and analytics space with strong SQL, Python, or R skills for complex querying, advanced analysis, performance optimization, and working with data at scale. Experience with big data technologies and cloud platforms is highly valued.
• Demonstrated data visualization skills with tools like Matplotlib, Tableau, Looker, MicroStrategy, Plotly, or similar

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