Job Title: Business Intelligence Data Analyst
About the Role:
ITTConnect is seeking a skilled Business Intelligence Data Analyst to work remotely. This is a potentially long-term position with a global leader in consulting, digital transformation, technology, and engineering services.
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.
• Collaborate with other teams.
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, 3NF, 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 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.