Business Intelligence Data Specialist
This role involves designing and developing robust data models to support analytical and product data needs across the organization.
You will 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 key to understanding data requirements and translating them into scalable data solutions.
Implementing and optimizing ETL/ELT processes ensures data quality, reliability, and performance.
You will own and define business KPIs, their measurement plans, data requirements, and reporting.
Processes are built to ensure correct, timely, and reliable reporting.
Addressing ad-hoc reporting requirements and finding pathways for automation are also part of this role.
Common design patterns are built to increase report reusability, readability, and standardization.
Collaboration with other teams is essential.
The ideal candidate has 7+ years of IT experience and 3+ years of experience working in business intelligence, data analytics, or a similar role.
Strong SQL skills and experience with data modeling techniques are necessary.
Proficiency in a programming language such as Python or Scala is required.
Experience building reporting and dashboarding solutions using Tableau, Sigma, Data Lake/Snowflake or similar ecosystem is essential.
Expertise in database fundamentals, SQL, and performance tuning is necessary.
Excellent communication skills and experience working with technical and non-technical teams are crucial.
Ability to think strategically, analyze, and interpret market and consumer information is vital.
Nice to have: experience with real-time data processing and streaming technologies, modern data warehousing platforms, and knowledge of data visualization tools.
Familiarity with machine learning concepts and their data requirements is an added bonus.