Business Intelligence Specialist: A Strategic Data Insights Role
About the Role:
We are seeking a highly skilled Business Intelligence Specialist to join our team. The ideal candidate will have experience in designing, developing, and maintaining robust data models, as well as building visually appealing and high-performing reporting and dashboard products.
Responsibilities:
* Design and develop data models to support analytical and product data needs across the organization.
* Build reports and dashboards using Tableau/Sigma to provide business stakeholders with timely and reliable insights.
* 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.
* Collaborate with other teams.
Requirements:
* 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 ecosystems.
* 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 Have:
* 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.