Business Intelligence Analyst ( Mid - Senior)

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.

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