Remote Business Intelligence Engineer

Summary

Join Simulmedia's dynamic team as a Business Intelligence Engineer with a curious and creative mindset to build and maintain data infrastructure and business intelligence solutions.

Requirements

• Bachelor's degree in computer science, data engineering, or a related field
• 5+ years of professional experience in business intelligence, data engineering, or a related role
• Proficiency in SQL and experience with data modeling and ETL development
• Strong expertise in BI tools such as Tableau, Power BI, Looker, or similar
• Experience with data warehousing solutions (e.g., Redshift, Snowflake) and cloud platforms (e.g., AWS, GCP)
• Familiarity with Advertising Technology or Advanced TV domain
• Enthusiasm for generative AI, large language models (LLMs), and conversational interface
• Exceptional problem-solving and analytical skills
• Excellent communication and collaboration skills
• Demonstrated leadership abilities and the ability to work independently
• Curiosity, creativity, and a passion for turning data into actionable insights
• Must be able to communicate with U.S based teams

Responsibilities

• Design and develop data models, data warehouses, and ETL processes to support business intelligence and reporting needs
• Build and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse
• Create and maintain interactive dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to enable data-driven decision-making across the organization
• Explore and integrate generative AI technologies, such as GPT4, to enhance data-driven insights and streamline the process of creating actionable recommendations for clients
• Conduct in-depth data analysis to identify trends, anomalies, and opportunities for improvement
• Integrate data from disparate sources, including third-party APIs and external databases, to provide a comprehensive view of business performance
• Optimize queries and data pipelines for performance and scalability to ensure timely access to critical business data
• Implement data quality checks, validation processes, and data governance practices to maintain data accuracy and integrity
• Collaborate with stakeholders, including data scientists, product managers, and executives, to understand data requirements and deliver actionable insights
• Create and maintain documentation for data models, ETL processes, and reporting solutions to facilitate knowledge sharing
• Provide guidance and mentorship to junior members of the business intelligence team
• Stay informed about the latest trends and best practices in business intelligence and analytics, and recommend improvements to our data stack

Benefits

Location: Lviv, Ukraine (with occasional team meetings in the office)