Design, develop, and maintain robust data models to support analytical and product data needs across the organization
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
Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets
Requirements & Skills:
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 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
Comfortable working in a fast-paced environment, self-starter, and self-organizing
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
