About The Role
We are looking for a Data Analyst to join our team and help us transform raw data into actionable insights. The ideal candidate is skilled in data analysis, statistical methods, and data visualization techniques. They will work closely with other departments to understand business needs and provide data-driven solutions.
Key Responsibilities:
1. Collect, clean, and analyze large datasets from various sources.
2. Identify trends, patterns, and insights through statistical analysis and data mining techniques.
3. Create and maintain data dashboards, reports, and visualizations to communicate findings to stakeholders.
4. Collaborate with cross-functional teams to understand data needs and provide solutions.
5. Develop predictive models and algorithms to drive business outcomes.
6. Ensure data integrity and accuracy by performing data quality checks.
7. Present findings to both technical and non-technical stakeholders in a clear and concise manner.
8. Continuously improve processes for data collection, analysis, and reporting.
9. Stay updated with industry trends and best practices in data analytics.
Qualifications:
1. Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field. A Master’s degree is a plus.
2. Proven experience (2-5 years) in data analysis or a related role.
3. Proficiency in SQL for data extraction and manipulation.
4. Experience with data visualization tools such as Tableau, Power BI, or similar.
5. Strong knowledge of statistical methods and data modeling techniques.
6. Proficiency in programming languages such as Python or R.
7. Experience with big data tools (e.g., Hadoop, Spark) is a plus.
8. Strong problem-solving skills and attention to detail.
9. Excellent communication skills, both written and verbal.
10. Ability to work independently and as part of a team.
Preferred Skills:
1. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
2. Familiarity with machine learning algorithms and AI applications.
3. Understanding of data governance and compliance standards (e.g., GDPR).
4. Knowledge of business intelligence tools and data warehousing.
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