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Senior Data Analytics Engineer
Confirmed live in the last 24 hours
Charlotte, NC, USA • New York, NY, USA
Experience Level
Desired Skills
Data Analysis
  • 5+ years of experience working with Data Warehouses (eg. Redshift, BigQuery, Snowflake)
  • 2+ years of LookML and Looker specific experience
  • Advanced knowledge of SQL & Python for data analysis
  • Experience maintaining and debugging LookML code, building user-friendly Explores, and defining caching policies
  • Support reporting infrastructure and deployment pipeline (Looker, GitHub, pull request process)
  • Experience working in a data organization with significant experience around user-based design plus user-based adoption KPIs/metrics
  • Experience troubleshooting errors in data models
  • Experience orchestrating data analytics workflows (eg. Airflow, DBT)
  • Experience analyzing data models and business requirements to create LookML objects
  • Experience optimizing queries, data modeling layer, and LookML for report performance
  • Experience leading and driving projects and initiatives to completion
  • Ability to work through ambiguity in a fast-paced, dynamically changing business environment
  • Strong analytical and interpersonal skills
  • Enthusiastic, highly motivated and ability to learn quick
  • Ability to exchange ideas and convey complex information clearly and concisely
  • Excellent understanding of data development processes and agile methodologies
  • Owns our Looker reporting product solution to provide value and insights to our leadership and business teams
  • Design, build and optimize the Looker semantic layer and dashboards
  • Design, develop and automate high-quality, scalable solutions across the entire data lifecycle, from raw data to powerful insights and analytics
  • Leverage extensive data modeling knowledge to design and deliver best-in-class analytics-ready data sets that result in high adoption of our transformed data
  • Work with a cross functional team of engineers, analysts and scientists to understand business requirements and guide event schema creation
  • Clean and transform raw data into consumable information and business logic, curate user-ready datasets and visualization tools
  • Expand our data warehouse with clean data ready for analysis
  • Conduct data validation/QA to ensure it is of high quality, document all business logic, and ensures data models are running reliably in a production environment
  • Partner with data engineers to help define and improve our internal data infrastructure
Red Ventures

1,001-5,000 employees

Online media company
Company Overview
Red Ventures' mission is to create scalable, sustainable platforms that positively change the trajectory of people's lives. The company specializes in all things media and social.
Company Core Values
  • Belonging drives engagement
  • Diverse teams make better decisions
  • Creating equity is critical to success