Job description

Our client is excited to offer an opportunity for a motivated Junior Data Analyst to join their growing Business Intelligence team in **Boise, Idaho, US**. This hybrid role provides a foundational experience in leveraging data to drive business decisions. The ideal candidate will possess a strong analytical mindset, a passion for data, and a foundational understanding of data analysis principles and tools. You will work closely with senior analysts and business stakeholders to gather requirements, clean and transform data, perform analyses, and help create reports and dashboards. Responsibilities include extracting data from various sources, ensuring data accuracy and integrity, developing insightful visualizations, and communicating findings clearly. This role is designed for individuals eager to learn and grow in the field of data analytics, offering exposure to a wide range of analytical techniques and business challenges. A foundational knowledge of SQL, Excel, and data visualization tools is required. You will be an integral part of a team dedicated to unlocking the power of data to inform strategy and improve performance. This is an excellent entry-level position for someone looking to build a career in business intelligence and analytics. Responsibilities: Assist in gathering data requirements from business stakeholders. Extract, clean, and transform data from various sources using SQL and other tools. Perform basic data analysis to identify trends, patterns, and insights. Develop and maintain reports and dashboards using data visualization tools (e.g., Tableau, Power BI). Ensure data accuracy, consistency, and integrity. Collaborate with senior analysts to support ad-hoc data analysis requests. Document data sources, methodologies, and findings. Assist in the creation of presentations to communicate analytical results. Learn and apply new data analysis techniques and tools. Support the business intelligence team in various projects. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Foundational knowledge of data analysis principles and statistical concepts. Proficiency in SQL for data extraction and manipulation. Experience with Microsoft Excel for data analysis and reporting. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Strong analytical and problem-solving skills. Excellent attention to detail. Good written and verbal communication skills. Eagerness to learn and adapt in a dynamic environment.

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