As a highly skilled Business Intelligence Engineer, you will play a crucial role in driving business decisions with data-driven insights.
About the Role
This is a remote opportunity for a BI Analyst to work with a global leader in consulting, digital transformation, technology, and engineering services. The end client operates in the retail space.
The successful candidate will be fluent in English, as all interviews will be conducted in this language.
Main Responsibilities:
* Design, develop, and maintain robust data models to support analytical and product data needs across the organization.
* Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets.
* Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions.
* Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance.
* Own and define business KPIs, their measurement plans, data requirements, and reporting.
* Build processes to ensure correct, timely, and reliable reporting.
* Address ad-hoc reporting requirements and find pathways for automation.
* Build and enforce common design patterns to increase report reusability, readability, and standardization.
Requirements:
* 7+ years of IT experience.
* 3+ years of experience working in business intelligence, data analytics, data engineering, or a similar role.
* Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault).
* Proficiency in a programming language such as Python or Scala.
* Experience building reporting and dashboarding solutions using Tableau, Sigma, Data Lake/Snowflake, or similar ecosystems.
* Expert in database fundamentals, SQL, and performance tuning.
* Excellent communication skills and experience working with technical and non-technical teams.
* Ability to think strategically, analyze, and interpret market and consumer information.
Nice to Have:
* Experience with real-time data processing and streaming technologies.
* Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau).
* Familiarity with machine learning concepts and their data requirements.