Data Analytics Expert
1 month ago
About Puretech Digital
We are a dynamic digital agency dedicated to delivering innovative solutions that drive business growth.
Salary: $80,000 - $120,000 per year
Job Description
As a Senior Data Analyst at Puretech Digital, you will play a critical role in helping us make data-driven decisions that drive business success. Your primary responsibility will be to analyze complex datasets, develop data models, and create visualizations that provide actionable insights.
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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