Data Analyst

As a Data Analyst, your role will involve collecting, cleaning, and organizing raw data from multiple sources. You will be responsible for analyzing large datasets to identify trends, patterns, and business insights. Additionally, you will create dashboards, reports, and visualizations to support decision-making. Collaboration with cross-functional teams such as marketing, sales, operations, and finance will be essential to provide data-driven solutions. Your tasks will also include interpreting data, preparing reports with actionable recommendations, developing and maintaining databases, data systems, and data analytics tools, monitoring data quality, ensuring accuracy in reporting, assisting in predictive modeling and forecasting, and presenting findings to management in a clear, concise, and visually effective manner. It is crucial for you to stay updated with industry trends, tools, and best practices in data analytics. Qualifications required for this role include a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. You should have proven experience as a Data Analyst or in a similar analytical role. Strong proficiency in SQL, MS Excel, and data visualization tools like Power BI and Tableau is necessary. Experience with statistical tools and programming languages such as Python and R is preferred. Knowledge of databases, ETL processes, and data warehousing is also essential. Besides technical skills, you should possess strong analytical and critical-thinking skills, excellent communication and presentation abilities, attention to detail, and a problem-solving mindset. Key Responsibilities: - Collect, clean, and organize raw data from multiple sources. - Analyze large datasets to identify trends, patterns, and business insights. - Create dashboards, reports, and visualizations to support decision-making. - Work with cross-functional teams to provide data-driven solutions. - Interpret data and prepare reports with actionable recommendations. - Develop and maintain databases, data systems, and data analytics tools. - Monitor data quality and ensure accuracy in reporting. - Assist in predictive modeling and forecasting. - Present findings to management in a clear, concise, and visually effective manner. - Stay updated with industry trends, tools, and best practices in data analytics. Key Skills: - Data analysis & interpretation - Data visualization & reporting - Statistical modeling & forecasting - SQL & database management - Business intelligence tools (Tableau, Power BI) - Problem-solving & decision-making Please note that this is a full-time position with the work location being in person.,