About The Job

Position: Senior Data Analyst

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.