Job Title: Business Intelligence Architect
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This position is responsible for designing, developing, and maintaining robust data models to support analytical and product data needs across the organization.
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We are seeking a skilled Business Intelligence Analyst to join our team. The ideal candidate will have experience working in business intelligence, data analytics, Data engineering or a similar role.
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* Main Responsibilities:
1. Design and develop data models to support analytical and product data needs
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1. Build visually appealing and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets
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1. Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions
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1. Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance
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1. Own and define business KPIs, their measurement plans, data requirements and reporting
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1. Build processes to ensure correct, timely and reliable reporting
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1. Address ad-hoc reporting requirements and find pathways for automation
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1. Build and enforce common design patterns to increase report reusability, readability and standardization
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Requirements:
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* 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 Haves:
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* 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
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