ITTConnect is seeking aBI Analystto work remotely for a client in the US.
This is a potentially long term position with a client that is a global leader in consulting, digital transformation, technology and engineering services with over 300,000 team members in nearly 50 countries.
The end client is in the retail space.
Job location: Remote, work from home, anywhere in Brazil.
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 likeTableau/Sigmaacross 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
StrongSQL skillsand experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault)
Proficiency in a programming language such asPython or Scala
Experience building reporting and dashboarding solutions usingTableau, Sigma, Data Lake/Snowflake or similar ecosystem
Expert inDatabase fundamentals, SQLand 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 Haves:
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.