Data Insights Engineer
Our ideal candidate will be responsible for designing, developing, and maintaining robust data models to support analytical and product data needs across the organization.
We are seeking a highly skilled Data Insights Engineer to join our team. This is an exciting opportunity to work with large data sets, design visually appealing reporting/dashboard products using tools like Tableau/Sigma, and collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions.
About the Role
* Design, develop, and maintain robust data models to support analytical and product data needs across the organization
* Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma
* 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
* 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 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:
* 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