Experienced Full Stack Data Analyst – Web & Cloud Application Development at careerzynith

About careerzynith

careerzynith is a leading innovator in the entertainment industry, revolutionizing the way people consume and interact with content. As a forward-thinking company, we're committed to pushing the boundaries of what's possible and creating immersive experiences that captivate audiences worldwide. Our team of passionate professionals is dedicated to driving innovation, creativity, and excellence in everything we do.

About the Role

We're seeking an experienced Full Stack Data Analyst to join our collaborative team at careerzynith. As a key member of our High-Level Investigation, Content group, you'll play a vital role in driving business decisions through data-driven insights. If you're a data enthusiast with a passion for TV and film content, and you're eager to learn and grow with a dynamic company, we want to hear from you!

Job Details

• Hiring Organization: careerzynith
• Post Name: Data Analyst
• Qualifications: Bachelor's Degree in Math, Statistics, Computer Science, or related field
• Industry: Private Entertainment
• Employment Type: Full-Time
• Work Hours: 8 hours per day
• Salary: $22/hour
• Locations: Remote (Santa Monica, USA)

Key Responsibilities

As a Full Stack Data Analyst at careerzynith, you'll be responsible for:

• Applying advanced data analysis procedures (data mining, data visualization, statistical analysis, AI) on large-scale, high-dimensional data to inform business decisions
• Analyzing user behavior (e.g., viewing patterns, engagement metrics) to identify untapped user needs and untapped content opportunities
• Forecasting content engagement to inform procurement decisions
• Streamlining our content release and episode discharge process
• Testing marketing strategies to optimize engagement and retention
• Ideating and developing new metrics and KPIs to measure content performance for both strategic and tactical navigation
• Providing ad-hoc analysis support to partners to drive business growth
• Effectively communicating significant results through compelling data storytelling across the organization

What We're Looking For

We're seeking a highly skilled and motivated individual with:

• Four-year college education in Math, Statistics, Computer Science, or related field
• At least 2 years of experience in data analysis
• Proficiency in SQL and experience in R and Python
• Experience in statistical analysis and AI methods: decision trees, regression, clustering, etc.
• Proven ability to work independently and apply creativity in solving complex problems
• Exceptional data storytelling skills through verbal, written, and visual communication

Pleasant TO-HAVES

We're also looking for candidates with:

• Graduate degree in Data Science, Math, Statistics, Computer Science, or related field
• An enthusiasm for Media and Entertainment

Career Growth Opportunities and Learning Benefits

At careerzynith, we're committed to helping our employees grow and develop their skills. As a Full Stack Data Analyst, you'll have access to:

• Regular training and development opportunities to enhance your data analysis skills
• Collaboration with a talented team of data scientists and analysts
• Opportunities to work on high-impact projects that drive business growth
• A dynamic and supportive work environment that encourages creativity and innovation

Work Environment and Company Culture

At careerzynith, we're passionate about creating a work environment that's inclusive, diverse, and supportive. Our company culture is built on:

• Collaboration and teamwork
• Continuous learning and development
• Innovation and creativity
• Employee well-being and work-life balance

Compensation, Perks, and Benefits

We offer a competitive salary of $22/hour, as well as a range of benefits and perks, including:

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) matching
• Flexible work arrangements
• Professional development opportunities

How to Apply

If you're a motivated and talented individual with a passion for data analysis and the entertainment industry, we want to hear from you! Please submit your application without delay. We're excited to hear from talented candidates like you.