Data Analyst Job in Aarav Unmanned Systems

Responsibilities: Collect, clean, and analyze large datasets to identify patterns, trends, and insights. Collaborate with the Data Science team to develop and implement data models and algorithms. Perform statistical analysis and data mining techniques to uncover key insights and provide actionable recommendations. Prepare and present data-driven reports, visualizations, and dashboards to communicate findings to various stakeholders. Assist in designing, implementing, and maintaining data collection systems and databases. Conduct data quality assessments to ensure data accuracy, completeness, and integrity. Support ad-hoc data analysis requests from different departments within the organization. Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis and data visualization. Requirements: Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines. Strong analytical and problem-solving skills with a keen attention to detail. Proficiency in data analysis and visualization tools such as Python, R, SQL, Excel, Tableau, or similar tools. Solid understanding of statistical concepts and techniques. Familiarity with data manipulation, data cleaning, and data preprocessing techniques. Excellent communication skills, both verbal and written, with the ability to present complex data in a clear and concise manner. Strong organizational skills and the ability to manage multiple tasks and projects simultaneously. Eagerness to learn and adapt to new technologies and tools in the field of data analysis. Ability to work collaboratively in a team environment as well as independently with minimal supervision. Preferred qualifications: Experience with data visualization and dashboarding tools such as Tableau, Power BI, or QlikView. Knowledge of programming languages such as Python or R for data analysis and machine learning. Familiarity with basic machine learning concepts and techniques. Experience with data extraction, transformation, and loading (ETL) processes. Understanding of database management systems and SQL queries.