Data Analyst II

The Data Analyst II will leverage a robust skill set in SQL, Python, R, and Excel to perform comprehensive data analysis and reporting. This role requires proficiency in data visualization tools such as Tableau and Power BI to create insightful dashboards that drive business decisions. The analyst will engage in data cleaning and ETL processes, ensuring data integrity and accuracy for analysis. A solid understanding of statistical analysis and machine learning basics will be essential for developing predictive models and conducting advanced analytics. The candidate will utilize big data technologies and cloud platforms like AWS, Azure, or GCP to manage and analyze large datasets. Experience with APIs and data mining techniques will be critical for extracting valuable insights from diverse data sources. The Data Analyst II will also be responsible for implementing data governance practices and ensuring compliance with data management standards. Strong communication and presentation skills will be necessary to convey findings effectively to stakeholders. Collaboration with cross-functional teams will be vital for successful project management and achieving organizational goals. Attention to detail and critical thinking will support the identification of trends and patterns within data. The ability to adapt to changing priorities and manage time efficiently will enhance productivity in this dynamic role. Overall, the Data Analyst II will play a key role in driving data-driven decision-making within the organization. Responsibilities: ? Conduct thorough data analysis using SQL, Python, and R to derive actionable insights from complex datasets. ? Develop and maintain dashboards and visualizations in Tableau and Power BI to present data findings to stakeholders. ? Perform data cleaning and preparation to ensure high-quality data for analysis, utilizing ETL processes as necessary. ? Apply statistical analysis techniques and machine learning basics to identify trends and patterns within data. ? Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions that support business objectives. ? Utilize data warehousing and big data technologies to manage and analyze large datasets efficiently. ? Implement data governance practices to ensure data integrity and compliance with organizational standards. ? Leverage APIs and data mining techniques to extract and manipulate data from various sources. ? Create comprehensive data reports and presentations that effectively communicate findings to both technical and non-technical audiences. ? Manage projects effectively, ensuring timely delivery of data analysis tasks while maintaining attention to detail. ? Stay adaptable in a fast-paced environment, continuously improving analytical skills and knowledge of emerging tools and technologies. ? Foster strong interpersonal relationships and collaborate effectively with team members to enhance overall project outcomes. Qualifications: Bachelor's degree in a relevant field.,Minimum of 3 years of professional experience in data analysis. We are seeking a Data Analyst II with 3 years of experience in SQL, Python, and data visualization tools like Tableau and Power BI. Strong communication and problem-solving skills are essential.