About Us
Concord isn't your typical consulting firm; we're an execution company. We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption.
Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We operate as a global team, with a presence across the United States, Latin America, Europe, and India, giving our clients access to specialized talent and continuous coverage across time zones.
About The Role
We are looking for a Business Intelligence Engineer to join our Business Intelligence team. In this role, you will focus on data preparation, data transformation, and analytics engineering. You’ll work across the modern data stack to transform raw data into trusted, scalable data products, polished dashboards, and actionable insights.
The ideal candidate has strong SQL and Python skills, and experience working with cloud data platforms such as Databricks and Snowflake. Additionally, familiarity with AI-powered analytics and productivity tooling is a plus, as we continue to explore how AI can improve data development, reporting, analysis, and business decision-making.
What You Will Be Doing
- Create and maintain customized SQL queries, data models, and reporting data structures to support dashboards, reporting, analytics, and downstream use cases.
- Build, maintain, and optimize data pipelines and database architecture, including query performance tuning, automation workflows, and data processing.
- Develop and implement data transformation and ETL/ELT processes using modern data engineering and analytics platforms such as Databricks, Snowflake, Microsoft Azure, Google Cloud Platform and AWS.
- Partner with stakeholders to understand business requirements and translate them into data models and analytics use cases.
- Validate and profile data to identify, document, and resolve gaps between available data and requirements for reporting outputs, dashboards, modeling use cases, and downstream analysis.
- Develop automation using Python, SQL, and other scripting technologies to improve data workflows and reduce manual processes.
- Collaborate with data engineers, BI developers, analysts, and business stakeholders to ensure data solutions are scalable, reliable, and aligned to business needs.
- Stay current with AI-enabled data and analy