Data Analyst
2 weeks ago
- Collect, process, and analyze large datasets to identify trends, patterns, and insights.
- Develop and maintain dashboards and reports to track key performance indicators (KPIs).
- Use statistical methods to analyze data and generate useful business reports.
- Collaborate with internal teams to understand data needs and provide data-driven solutions.
- Write and optimize SQL queries to extract data from databases.
- Utilize Python for data manipulation, analysis, and visualization.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Ensure data accuracy and integrity in all analytical outputs.
- Stay up-to-date with industry trends and best practices in data analysis and visualization
Requirements:
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
- Minimum of 2 years of experience in a data analyst role with a focus on Python.
- Proficiency in Python for data analysis and visualization (e.g., pandas, numpy, matplotlib, seaborn).
- Experience with SQL and relational databases.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent communication and presentation skills.
- Ability to work independently and collaboratively within a team.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of machine learning and statistical modeling techniques is a plus.
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