Duties/Responsibilities:
· Collect and organize large sets of data from various sources
· Use statistical and analytical techniques to extract insights and identify trends and patterns in the data · Create reports and visualizations to communicate findings to stakeholders
· Collaborate with cross-functional teams to identify areas for improvement and provide data[1]driven recommendations
· Stay up-to-date with industry trends and tools in data analysis
Required Skills/Qualifications:
· Bachelor's degree in a related field (e.g., computer science, statistics)
· Strong analytical and problem-solving skills
· Proficiency in SQL and at least one programming language (e.g., Python, R)
· Experience with data visualization tools (e.g., Tableau, Excel)
· Excellent communication and presentation skills
· Experience working with large datasets and data management techniques
· Ability to work independently and as part of a team
· Ability to communicate effectively with both technical and non-technical stakeholders, and be comfortable working in a fast-paced, constantly evolving environment.
· Passionate about data and harnessing the values of data
Preferred Qualifications:
· Master's degree in a related field
· Experience with machine learning techniques and tools
· Experience working in a business setting and using data to inform decision-making
· Minimum 2 years of hands-on experience in relevant field