Data Analyst

Jaguar is seeking a dedicated and detail-oriented Data Analyst to join our dynamic team. In this role, you will utilize your analytical thinking skills to interpret complex data sets and generate actionable insights that drive strategic decision-making. You will leverage tools such as Python, R, SQL, Excel, and data visualization platforms like Tableau and Power BI to effectively communicate findings and contribute to data-driven projects. The ideal candidate will possess a strong foundation in statistical analysis and data visualization, along with experience in data manipulation and reporting. This position does not require prior team management experience, making it an excellent opportunity for emerging talents in the analytics field. As a Data Analyst at Jaguar, you will play an instrumental role in the data management process, collaborating with various departments to identify data needs and support operational goals. You will be responsible for creating reports, dashboards, and visualizations that present data in a clear and impactful manner. This position requires a keen attention to detail, a commitment to accuracy, and the ability to work with large datasets to uncover trends and support strategic initiatives across the organization. Your contributions will help streamline operations and enhance the overall performance of the company.
Responsibilities

Collect and clean data from various sources to ensure accuracy and reliability.
Analyze complex datasets using statistical methods and analytical tools.
Develop and maintain reports and dashboards using Tableau, Power BI, or Excel to visualize data trends.
Utilize programming languages including Python and R to manipulate data and perform in-depth analyses.
Collaborate with cross-functional teams to understand their data needs and provide analytical support.
Identify patterns and insights from data to inform decision-making and guide strategic initiatives.
Present findings and recommendations to stakeholders clearly and effectively, using visual aids to enhance understanding.
Monitor data quality and integrity, ensuring data is up-to-date and relevant.
Stay current with industry trends and best practices in data analysis and data visualization.
Assist in training other team members on data tools and best practices, fostering a culture of data literacy within the organization.