Responsibilities:

• Proactively identify data-related issues, investigate root causes and drive them to resolution across Marketing, Sales, Product, and Engineering functional areas
• Work with the other Data Engineering team members to ensure relevant, high-quality, raw data is ingested into our data warehouse and correctly modeled for performant analytics
• Build and maintain models that provide the analytics that will help the functional teams predict results and report on performance.
• Participate in the development process for our Marketing, Sales, Product and Engineering analytics reporting. This includes meeting with internal customers to understand their needs, understanding the core data models, writing code to enrich and transform raw data to analytics data and designing and iterating dashboards
• Be hands-on with monitoring tools, work with large data sets, and provide insights into our performance(e.g. Engineering). This includes writing queries to access data, performing analysis, utilizing your technical expertise as well as a variety of internal tools and/or collaborating with other teams as needed
• Become an expert at maintaining a variety of internal data systems and automate and script repetitive tasks where needed
• Support other larger-org teams regarding the most effective ways of collecting the data and enforce its quality.
• Provide guidance to functional leaders on KPIs, metrics and business decisions including accurate analysis of user and business data
• Educate and help empower other larger-org team members on data-related aspects

Required Background/Skills:

• 5+ years of demonstrated experience in data analysis or analytics engineering
• Experience with schema design, data modeling and metadata management
• Experience applying Software Engineering best practices to data analytics including CI/CD, version control, etc.
• Experience with building and maintaining data pipelines
• In-depth knowledge of (at least) one data warehouse system
• Experience with building reports to various stakeholders
• Strong SQL skills
• Excellent written and verbal communication skills
• Demonstrable teamwork skills and resourcefulness