Experienced Full Stack Data Analyst – Business Intelligence and Analytics

Remote Full-time
At careerzynith, 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 from complex data sets. If you're passionate about data analysis, have a keen eye for detail, and enjoy working in a collaborative environment, we want to hear from you.

**About careerzynith**

careerzynith is a leading provider of innovative solutions in the private sector. Our team of experts is dedicated to delivering cutting-edge products and services that meet the evolving needs of our customers. With a strong focus on data-driven decision-making, we're constantly seeking talented individuals who share our passion for analytics and business growth.

**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. You'll work closely with cross-functional teams to develop 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 business-critical 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 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 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 expertise in SQL, Python, or R 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 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
* Humor and a willingness to learn
* Unique interests or areas of expertise that impact the way you interact with others and tackle business challenges

**What We Offer**

* Competitive hourly rate of $25/hour
* Part-time employment with 8 hours of work per week
* Opportunity to work with a dynamic team of experts in the private sector
* Collaborative and inclusive work environment
* Professional development and growth opportunities
* Flexible work arrangements, including remote work options
* Comprehensive benefits package, including health insurance, retirement plan, and paid time off

**How to Apply**

If you're a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience, skills, and qualifications. We can't wait to hear from you!

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