Job Description • Interpret data and analyze results using advanced query techniques and statistical methods to uncover actionable insights. • Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, BigQuery, Python, R, and other big data tools. • Develop analytical reports and represent large, complex sets of data through sophisticated visual representations and dashboards. • Proactively identify reporting needs and updates independently or based on stakeholder requirements within business processes. • Present information and insights in a way that drives fact-based decision-making across the organization. • Propose and define new business process improvement opportunities based on data to drive significant business impact. • Work closely with management to prioritize business and information needs while ensuring alignment with company goals. • Monitor deep-dive data analysis to identify trends or specific events and proactively escalate issues or findings discovered in business processes. • Mentor junior BI team members by providing guidance, reviewing their work, and offering constructive feedback on their projects. • Implement and maintain thorough documentation and records for all reports and dashboards created to ensure consistency and scalability. Qualifications • Minimum of 2 years of professional experience in Business Intelligence, Data Analytics, or a related field. • Bachelor’s or Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, or a related field. • Expert-level SQL skills with the ability to write advanced database queries; proficiency in Python, R, Java, or Javascript is highly desirable. • Ability to quickly disseminate data to find key trends and the skill to perform deep-dive data mining to understand the "why" behind those trends. • Comfortable working with datasets containing millions of rows and creating complex visualizations from raw data in a live dashboard environment. • Experience working with analytical tools such as Jupyter, Python, Hive, and BigQuery ML is a significant plus. • Excellent written and verbal communication skills, with the ability to explain complex technical findings to non-technical stakeholders. • Proven ability to lead complex data analysis projects and provide strategic recommendations to management. • Ability to work well and deliver high-quality results under pressure in a fast-paced environment