Business Intelligence Data Specialist
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* This position requires a highly skilled data analyst to design, develop and maintain robust data models to support analytical and product data needs across the organization.
* The ideal candidate will be able to build visually appealing, high-performing and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets.
* Collaboration with data engineers, data scientists and business stakeholders is essential to understand data requirements and translate them into scalable data solutions.
* The selected candidate will implement and optimize ETL/ELT processes to ensure data quality, reliability and performance.
* Responsibilities include owning and defining business KPIs, their measurement plans, data requirements and reporting, as well as building processes to ensure correct, timely and reliable reporting.
* Addressing ad-hoc reporting requirements and finding pathways for automation are also key aspects of this role.
* The successful candidate will build and enforce common design patterns to increase report reusability, readability and standardization.
* A collaborative approach with other teams is necessary to achieve success in this position.
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Requirements:
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* A minimum of 7 years of IT experience is required.
* At least 3 years of experience working in business intelligence, data analytics, data engineering or a similar role is needed.
* Strong SQL skills and experience with data modeling techniques, such as dimensional modeling, 3NF and data vault, are essential.
* Proficiency in a programming language such as Python or Scala is also required.
* Experience building reporting and dashboarding solutions using Tableau, Sigma, Data Lake/Snowflake or similar ecosystem is necessary.
* Expertise in database fundamentals, SQL and performance tuning is crucial.
* Excellent communication skills and experience working with technical and non-technical teams are also required.
* The ability to think strategically, analyze and interpret market and consumer information is necessary.
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Nice to Haves:
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* Experience with real-time data processing and streaming technologies would be beneficial.
* Knowledge of modern data warehousing platforms, such as Snowflake, DataBricks, Redshift, and data visualization tools, such as Looker, Tableau, would be advantageous.
* Familiarity with machine learning concepts and their data requirements would be desirable.