Business Intelligence Analyst

Job Details Title- BI Analyst/ Consultant Location- (Monday and Tuesday in Office) Type of Hire- Contract Only W2 Hiring JOB DESCRIPTION: Key Responsibilities: • Requirement Gathering: Engage with stakeholders to effectively gather and document business requirements, ensuring alignment with analytics solutions. • Stakeholder Communication: Maintain excellent communication with clients and team members to clearly convey insights, updates, and technical concepts in an approachable manner. • Dashboard Development: Contribute to the creation of dynamic and insightful dashboards using tools like PowerBI, Tableau, or QlikView, tailored to meet client needs. • Data Analysis: Perform data analysis and utilize statistical methods to draw meaningful conclusions, supporting the decision-making process. • Project Collaboration: Assist in managing BI projects by coordinating tasks, timelines, and objectives, ensuring successful delivery. • Client Interaction: Build strong relationships with clients to better understand their business challenges, supporting them with strategic insights and solutions. • Continuous Learning: Leverage opportunities for professional development in BI technologies and methodologies, staying updated with the latest industry trends. Requirements: • Bachelor’s degree in finance, economics, mathematics, engineering, or a related field. • Previous experience or internships in a BI role, with a commitment to delivering impactful analytics solutions. • Exceptional communication skills, particularly in explaining complex ideas to diverse audiences. • Familiarity with dashboard creation tools (e.g., PowerBI, Tableau, or QlikView). • Basic knowledge of data analysis techniques and statistical methods. • Eagerness to understand and apply project management principles. • Flexibility to travel as needed, up to 30%. Good to Have Skillsets: • Basic understanding of ERP Systems (SAP, Oracle, Dynamics). • Interest in automation tools and OCR technologies (UiPath or Blue Prism). • Exposure to Data Science concepts (modeling, machine learning, statistical forecasting).