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Data Analyst Jobs
Company | Fi |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Transportation, Logistics, Supply Chain and Storage |
Expires | 2023-07-01 |
Posted at | 11 months ago |
Who is Fi?
- As a Data Analyst at Fi, you will play a crucial role in transforming raw data into valuable insights and actionable recommendations. Reporting directly to the VP of Data, you will contribute to driving data-informed decision making and shaping our business strategy. Your primary responsibility will be to extract, analyze, and interpret complex data sets to uncover trends, patterns, and insights that will inform key business initiatives
- DataBricks
- Tableau
- Airbyte
- Python + PySpark
- Dbt (data-build-tool)
- AWS
- Design and build interactive dashboards, reports, and visualizations to present data findings to stakeholders
- Extract, clean, transform, and analyze large datasets from various sources to generate meaningful insights
- Stay up to date with the latest industry trends, tools, and techniques in data analytics and apply them to enhance data analysis capabilities within the organization
- Develop and implement data models, algorithms, and statistical techniques to solve business problems and optimize processes
- Collaborate with cross-functional teams to identify and define data requirements and objectives
- Conduct thorough exploratory data analysis to identify patterns, correlations, and anomalies
- Identify key performance indicators (KPIs) and develop metrics to measure and track business performance
- Collaborate with data engineers to streamline data pipelines and ensure efficient data extraction, transformation, and loading (ETL) processes
- Familiarity with data warehousing concepts and cloud platforms (e.g., AWS, Azure, GCP)
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related disciplines
- Minimum of 2 years of professional experience as a Data Analyst or similar role
- Proficiency in Python
- Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL)
- Proficiency in data visualization tools such as Tableau, Power BI, or similar.
- Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable insights
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