Experienced Full Stack Data Analyst – Business Intelligence and Analytics
At careerzynith, we're on a mission to revolutionize the way businesses make data-driven decisions. As a seasoned data analyst, you'll play a pivotal role in driving business growth and success by uncovering insights, identifying trends, and developing actionable recommendations. If you're passionate about data, analytics, and business intelligence, we want to hear from you!
About careerzynith
careerzynith is a leading innovator in the private sector, dedicated to delivering exceptional experiences and outcomes for our clients. Our team of experts is passionate about harnessing the power of data to drive business success, and we're looking for talented individuals like you to join our ranks.
Job Summary
We're seeking an experienced full stack data analyst to join our team in Santa Monica, USA. As a key member of our Immediate to Buyer Item and Tech Examination group, you'll be responsible for supporting business growth through data analysis, investigation, and knowledge sharing. Your expertise will help us answer critical questions, identify trends, and develop recommendations to drive business performance.
Key Responsibilities
* Construct comprehensive analyses, data visualizations, and multi-functional reporting to inform business decisions and drive growth
- Answer business questions and provide expert insights on various trade streams on D+ and Hulu to enhance customer experience and drive conversions
- Develop and advance the analytical capabilities of the business, collaborate in the design of demonstrative solutions, and deliver exceptional data experiences and products
- Utilize data representation tools, SQL, and programming languages to access and analyze structured and unstructured data
- Apply statistical and inferential methods (t-test, chi-square, ANOVA, correlation, Regression, Component Analysis, etc.) to understand customer behavior and preferences, and drive business impact
Essential Qualifications
* Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering)
- 5+ years of experience as a data analyst in an information and analytics space with exceptional SQL, Python, or R skills for complex querying, high-level analysis, performance optimization, and working with large datasets
- Proven track record of delivering end-to-end analysis projects: from unclear requirements to successful storytelling, open across diverse audiences, and ultimately to a tangible business outcome
- Excellent communication and interpersonal skills, with the ability to build strong working relationships with stakeholders, colleagues, and technical partners
- Ability to present to senior leadership and communicate complex ideas in a clear and concise manner
Preferred Qualifications
* Master's degree in a quantitative field
- Demonstrated expertise in data visualization tools (e.g., Matplotlib, Seaborn, Looker, MicroStrategy, Plotly)
- Knowledge of marketing funnels, join pipes, and trade spaces
- Ability to identify and effectively escalate issues to leadership
- Counseling or MBA background, or other multi-industry experience
- Strong inspiration and ability to work independently
- Exceptional written and oral communication skills
- Awareness of humor and ability to adapt communication style to suit different audiences
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a talented team of experts in the field of data analytics and business intelligence
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible work arrangements, including remote work options
- Access to cutting-edge tools and technologies
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and results-driven data analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume, cover letter, and any relevant work samples or projects. Apply for this job