(3 Days Left) Senior Data Analyst
2 weeks ago
Years of Exp: 2-3 years
*Append the name of your favorite data science model to your resume file name before you submit your application.*
Job Overview:
We are seeking a skilled and analytical Data Analytics Specialist to join our team. This role requires a dynamic individual who will leverage data science, data modeling, and data analytics expertise to support data-driven decisions across the organization. You will be responsible for analyzing complex datasets, developing data models, and creating visualizations that provide actionable insights. The ideal candidate has a strong foundation in R or Python, experience in hypothesis-driven analysis, and a passion for improving conversion rates through data-informed strategies.
Key Responsibilities:
Data Modeling & Analytics:
- Develop, maintain, and enhance data models to support various business functions.- Conduct exploratory data analysis using R or Python to uncover trends, patterns, and insights.- Perform hypothesis-driven analysis to inform conversion rate optimization (CRO) strategies.
Data Science & Statistical Analysis:
- Apply statistical methods and machine learning techniques to predict trends and drive strategic decisions.- Perform A/B testing, hypothesis generation, and multivariate testing to identify opportunities for optimization.- Build and validate predictive models to support customer engagement, retention, and conversion.
Data Visualization & Reporting:
- Create clear, compelling data visualizations that effectively communicate insights to stakeholders.- Develop dashboards and reports that highlight key performance indicators, trends, and data-driven insights.- Collaborate with business units to translate data findings into actionable recommendations.
Technical Skills:
- Proficiency in R or Python for data analysis, modeling, and statistical testing.- Strong data visualization skills (e.g., Tableau, Power BI, or similar tools).- Experience with SQL for data extraction and manipulation.
Experience:
- 2-4 years in data analytics, data science, or a similar role, preferably in a data-driven marketing or CRO-focused environment.- Solid understanding of data modeling, hypothesis testing, and statistical analysis.
Soft Skills:
- Excellent analytical thinking and problem-solving skills.- Effective communication skills with the ability to explain complex concepts to non-technical stakeholders.- Detail-oriented with a commitment to data accuracy and quality.
Preferred Skills:
- Experience with A/B testing and familiarity with CRO methodologies.- Knowledge of data processing and pipeline management tools.- Familiarity with data architecture and ETL processes.
Qualifications:
- Education: Bachelor's or master's degree in data science, Statistics, Mathematics, Economics, Computer Science, or a related field.
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