Intelliswift
Job Title: Data Analyst
Location: San Francisco, CA (Remote)
Duration: 6 months
Contract Type: W2 only
Pay Rate: $54.22/Hour
Job Description:
What You'll Do:
Skills:
Education:
Location: San Francisco, CA (Remote)
Duration: 6 months
Contract Type: W2 only
Pay Rate: $54.22/Hour
Job Description:
- We are seeking a highly skilled and motivated Data Science Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and optimizing data-driven solutions that empower our organization to make informed decisions.
What You'll Do:
- Collaborate with cross-functional teams to identify business needs, provide insights, and translate requirements into technical solutions.
- Analyze business and financial data to provide actionable recommendations for automation and process improvements.
- Create and maintain dashboards and visualizations to effectively communicate data insights.
- Support metrics development for key outcomes like customer retention, propensity to convert, and churn prediction.
- Design, develop, and maintain data pipelines and workflows to support analytical and operational needs.
- Develop and maintain sophisticated quantitative models to improve decision-making by analyzing historical data and conducting scenario analysis.
Skills:
- Proficiency in SQL and Programming Languages: Strong experience with SQL for querying and managing data, and expertise in Python or similar programming languages for data analysis and modeling.
- Analytical Thinking: Demonstrated ability to approach complex problems methodically, analyze data critically, and deliver actionable insights.
- Experience with Data Visualization Tools: Hands-on experience with tools like Tableau, Power BI, or equivalent for creating compelling and informative visualizations.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of statistical analysis and machine learning techniques.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Familiarity with PLG (Product-Led Growth) strategies and metrics is a plus.
- Strong understanding of statistical methods, hypothesis testing, and experimentation design. (optional)
Education:
- 5 - 7 YOE