Analytics Engineer

Summary

Join GoDaddy's Care & Services team as an Analytics Engineer and contribute to data modernization, automation, and operational insights. You will partner with cross-functional teams to transition legacy processes to more efficient solutions, migrate data to a cloud environment, and standardize reporting platforms. Responsibilities include handling data extractions, analyzing large datasets, building custom queries, and developing automated monitoring systems. This remote position requires 5+ years of experience in data modeling and pipelines, experience with SQL, AWS, and BI tools, and strong collaboration skills. A bachelor's degree in a related field is preferred. GoDaddy offers a range of benefits, including paid time off, retirement savings, bonuses, health benefits, and parental leave.

Requirements

• 5+ years of experience in designing, building, and maintaining logical data models and pipelines associated with relational and non-relational databases, data warehouses, and other data stores including data processing/ETL and querying; experience with SQL, SQL Server, AWS (Athena, S3, Airflow, etc.) and Redshift
• Experience with complex data visualization utilizing BI/visualization packages such as Tableau and Quicksight
• Experience with building data pipelines and data intake applications using Node
• Ability to collaborate effectively with cross-functional teams and build relationships at all levels
• Detail-oriented with strong organizational and time management skills
• Proven ability to work in a fast-paced environment and adapt to changing priorities

Responsibilities

• Partner with teams across Care to modernize reporting, analytics, and data infrastructure by transitioning legacy processes and tools to more scalable and efficient solutions
• Support the migration of enterprise data by transitioning datasets, scripts, reports, and workflows to a cloud-based environment, ensuring seamless integration and accessibility
• Standardize and consolidate data sources and reporting platforms to improve efficiency, accuracy, and usability for key stakeholders
• Handle data extractions from multiple data sources analyze large volumes of data, parse data sets, and build custom data queries
• Improve system integrations by automating data flows, enhancing access management, and ensuring seamless communication between key operational tools
• Develop automated monitoring and alerting systems to improve operational efficiency, ensure compliance, and proactively address data and process concerns

Preferred Qualifications

Bachelor's degree in Business Analytics, Computer Science, Data Science, Applied Mathematics, Predictive Analytics, Statistics, or a similar field

Benefits

• Paid time off
• Retirement savings (e.g., 401k, pension schemes)
• Bonus/incentive eligibility
• Equity grants
• Participation in our employee stock purchase plan
• Competitive health benefits
• Parental leave