Experienced Full Stack Data Analyst – Data Science and Business Intelligence

Join careerzynith in a Remote Data Entry Role with a Competitive Hourly Rate of $26

About careerzynith

careerzynith is a leading company in the industry, dedicated to delivering innovative solutions that drive business growth and success. With a strong focus on data-driven decision-making, careerzynith is seeking an experienced Full Stack Data Analyst to join our team in a remote data entry role. As a key member of our team, you will play a critical role in analyzing complex data sets, identifying trends, and providing actionable insights to inform business decisions.

Job Details

*

Location:

Remote

Start Date:

Immediate openings available

Position:

Experienced Full Stack Data Analyst – Data Science and Business Intelligence

Compensation:

Competitive hourly rate of $26

Company:

careerzynith

Job Description

The Product Frameworks and Examination group at careerzynith is essential for our CPGP (Shopper Items, Gaming and Distributing) group, which designs and sells careerzynith products globally. We are currently seeking an experienced Full Stack Data Analyst who will lead, analyze, and interpret broad datasets, creating high-level business insights through cutting-edge predictive models across brick-and-mortar and e-commerce platforms. You will be a mentor to the Data Science team, providing specialized skills and leading research projects, encouraging cross-functional collaboration to meet internal client information needs.

Key Responsibilities

* Provide leadership and set vital vision and direction for the Data Science team, focused on Omni Channel examination across both brick-and-mortar and e-commerce platforms.

• Lead cross-functional teams, collaborating with Examiners, Specialized Assistants, and Business Pioneers to develop an improvement guide based on business needs.
• Translate business requirements into precise product specifications to direct development.
• Lead design meetings, adjusting techniques to business drivers, challenges, and long-term objectives.
• Plan effective data pipelines to address business issues, utilizing specialized tools and retail frameworks.
• Set and execute Data Science team best practices and lead code audits for colleagues.
• Create convincing visuals, diagrams, and graphs that resonate with data, fitting them to various audiences.
• Utilize advanced analysis techniques (regression, AI, clustering) to drive significant insights.

Essential Qualifications

* 2+ years' experience creating Examination, Measurable, or AI models to extract insights and address business challenges, ideally in a retail setting.

• Capability in web analysis and visitor segmentation using data to drive informed decisions and improve online experiences.
• Lead small teams in quick and accurate data analysis, highlight definition, and creative problem-solving for business challenges.
• Ability in working on complex issues, creating data-driven stories for direction.
• Cloud platform/tech capability.
• Aptitude in AI or machine learning methods.
• Ability in investigating and underlying driver analysis.
• Successful in fast-paced, changing conditions.

Preferred Qualifications

* Familiarity with different project management methodologies (waterfall, agile, scrum).

• Proficient relational skills for effective team and individual communication.
• Capability in various data technology areas:

+ Data pipelines and ETL tools (e.g., SQL, SSIS, Knime, Alteryx, Scene Prep) + Database platforms including Snowflake and SQL Server + Preprocessing languages (e.g., Snowscript, JavaScript, VBA, Python) + Factual and Data Science languages (e.g., R, SAS, Python for Data Science) + Utilization of AI strategies.

• Experience with advanced analysis systems (e.g., regression analysis, clustering, statistical induction, theory testing, p-values, causal inference, Random Forest, Bagging, Boosting, Time Series).

What We Offer

* A competitive hourly rate of $26

• A low-stress role with great rewards
• Opportunities for career growth and professional development
• A dynamic and collaborative work environment
• A comprehensive benefits package, including health insurance, retirement plans, and paid time off

How to Apply

If you are 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 and qualifications for this role. We look forward to hearing from you! Apply for this job