Data Analyst (Job Vacancy)
OpenCV University
200 Applicants|Posted 1 Week ago
Job Description
Company Description
OpenCV University is a leading AI education platform. We offer in-depth courses on Computer Vision and Deep Learning to empower learners to contribute to the global AI narrative. Our mission is to provide premier AI education and to stay connected with industry trends and opportunities for global collaboration.
Role Description
This is a full-time on-site role for a Data Analyst - Operations. The Data Analyst will be responsible for performing data analysis tasks, developing statistical models, creating data models, and communicating findings to stakeholders. The Data Analyst will work in collaboration with cross-functional teams to optimize data-driven decisions.
Key Responsibilities:
• Data Gathering and Cleaning: Collect data from various sources, including databases, spreadsheets, APIs, and other data repositories. Clean, validate, and preprocess the data to ensure accuracy and consistency.
• Data Analysis: Utilize statistical techniques and data analysis tools to extract relevant information and patterns from datasets. Identify trends, correlations, and anomalies to provide insights into business performance and operations.
• Data Visualization: Create clear and concise data visualizations, such as charts, graphs, and dashboards, to effectively communicate complex findings to non-technical stakeholders. Visualizations should be engaging, easy to understand, and actionable.
• Reporting: Develop regular and ad-hoc reports to support decision-making processes across different departments. Ensure that reports are delivered on time and provide valuable insights to relevant teams.
• Business Intelligence: Work closely with business managers to understand their analytical needs and assist in creating customized reports and data-driven solutions that address specific business challenges.
• Process Improvement: Continuously assess and optimize data processes to enhance data collection, analysis, and reporting efficiency. Propose and implement innovative solutions to improve data-related workflows.
Qualifications
• Strong Analytical Skills and Data Analytics experience
• Proficiency in Statistics
• Excellent Communication skills with an ability to communicate findings to stakeholders
• Experience in Data Modeling
• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics or related field
• Experience with Database Management and SQL
• Knowledge of Programming languages such as Python and R
• Experience with Statistical Software such as SAS or SPSS is a plus