Business Intelligence Engineer (225-725)

A Business Intelligence (BI) Engineer is a pivotal role within a company that leverages data analytics, data visualization, and business acumen to drive growth and success. This role requires an individual who can transform raw data into actionable insights that influence business strategies and decisions. The BI Engineer collaborates with various departments, including IT, finance, and operations, to gather data requirements, develop data models, and create reporting solutions. This position necessitates an in-depth understanding of business processes alongside technical prowess in data management tools and programming languages. The ideal candidate will have a knack for digging into data, understanding its nuances, and communicating findings to stakeholders to optimize business performance and strategy.

Responsibilities

• Design and implement effective business intelligence solutions to meet organizational needs.
• Collaborate with stakeholders to understand their data insights requirements and objectives.
• Develop data models, reports, and dashboards using tools such as Tableau or Power BI.
• Analyze and interpret complex data sets to identify trends and patterns.
• Ensure data quality and integrity through strategic data mining and analysis.
• Work closely with IT to optimize data collection and data warehousing processes.
• Create detailed documentation on BI solutions, processes, and best practices.
• Continuously improve BI infrastructure through emerging technologies and methodologies.
• Train and support end-users to effectively utilize BI tools and solutions.
• Monitor data governance standards to ensure compliance with regulations and policies.
• Facilitate strategic planning by providing insightful data-driven recommendations.
• Lead initiatives to enhance and standardize data visualization techniques and tools.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or related field required.
• At least 3 years of experience in business intelligence or data analytics roles.
• Proficiency in BI tools such as Tableau, Power BI, or Looker is essential.
• Strong SQL skills and experience with data modeling and ETL processes.
• Exceptional analytical skills with attention to detail and data accuracy.
• Ability to communicate complex data insights to non-technical stakeholders effectively.
• Proven ability to manage multiple projects and work under tight deadlines.
• Knowledge of data warehousing concepts and experience with cloud-based data solutions.