ITTConnect is seeking a Business Intelligence Engineer to work remotely for a client in the US.
This is a potentially long term position with a global leader in consulting, digital transformation, technology and engineering services.
The end client is in the retail space.
Job location: Remote, work from home.
Only resumes in English will be reviewed.
MUST BE fluent in English. All interviews will be in English only.
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.
* Collaborates with other teams.
Requirements:
* 7+ years of IT experience.
* 3+ years 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 ecosystem.
* 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.