Senior Business Analytics Analyst

Summary

Join GoDaddy's Strategic Finance team as a Senior Analytics Engineer and leverage data insights & automation solutions to drive strategic growth. You will build customized data structures for rapid analytics, perform data automation tasks using various tools, act as a technical specialist for data products, optimize workflows, and build end-to-end reporting solutions. Collaborate with analytics and finance leaders to democratize data and translate business needs into actionable data products. The ideal candidate will have 5+ years of experience in data engineering and analytics, proficiency in SQL, Python, and various databases, and experience with Tableau. GoDaddy offers a range of benefits, including paid time off, retirement savings, bonuses, equity grants, health benefits, and parental leave.

Requirements

• 5+ years using data engineering and analytics to build an enterprise; proficient in SQL, Python, and various databases
• Proven experience translating business needs into technical requirements
• Experience creating Tableau dashboards and tunes data sources for performance
• Experience explaining technical details and business impacts
• Enterprise data expert adept at contextual collaboration

Responsibilities

• Build highly customised data structures to enable rapid-fire analytics and visualisation
• Perform data automation tasks and use a variety of tools – Amazon Redshift, Spectrum, S3, SQL Server, Teradata, Athena, not to mention ETL administration tools – we use it all here
• Act as the specialist on technical implementation for novel data products – from the warehouse layer -> database/analytics/query layer -> visualisation layer, you know how to structure data sets and workflows for high efficiency and performance
• Optimise new and existing workflows for gains in performance of the query and visualisation layers (all the way to the tuning of Tableau/Quick-sight workbooks and data source performance)
• Build end-to-end reporting solutions from multiple data structures and sources. Support the design, development, and implementation of enterprise-wide views, dashboards, and custom reporting
• Document your work products and conform to data governance standards set by the core data engineering team along the way

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