Role Overview: As a Junior Data Science Analyst you will assist in analyzing data creating visualizations and generating insights to support decisionmaking processes. You will work closely with senior data scientists and other team members to develop datadriven solutions and enhance our analytical capabilities.
Key Responsibilities: - Data Analysis: Collect clean and analyze data from various sources. Utilize statistical techniques and tools to identify trends patterns and anomalies.
- Reporting & Visualization: Create dashboards reports and visualizations to communicate findings clearly and effectively to stakeholders.
- Model Development: Assist in developing testing and implementing predictive models and algorithms under the guidance of senior team members.
- Collaboration: Work with crossfunctional teams to understand business needs and provide datadriven recommendations.
- Documentation: Maintain thorough documentation of data processes methodologies and analyses to ensure transparency and reproducibility.
- Continuous Learning: Stay updated with industry trends tools and techniques to continuously improve your skills and knowledge.
Qualifications: - Education: Bachelors degree in Data Science Computer Science Mathematics Statistics or a related field.
- Experience: 12 years of experience in data analysis or a related role including internships or academic projects.
- Technical Skills: Proficiency in programming languages such as Python or R. Experience with data manipulation libraries (e.g. pandas numpy) and data visualization tools (e.g. Tableau Matplotlib).
- Analytical Skills: Strong quantitative and analytical skills with a keen eye for detail.
- Communication Skills: Ability to communicate complex data insights in a clear and concise manner.
- Team Player: Proven ability to work collaboratively in a team environment and manage multiple tasks effectively.
Preferred Skills: - Familiarity with SQL for database querying.
- Experience with machine learning frameworks and libraries.
- Knowledge of big data technologies such as Hadoop or Spark.
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