Senior Business Analytics Analyst

Summary

Join GoDaddy's Strategic Finance team as a Senior Analytics Engineer and leverage data insights to drive strategic growth. You will build customized data structures for rapid analytics, automate data tasks using various tools (Redshift, Spectrum, S3, SQL Server, Teradata, Athena), and act as a technical specialist for data product implementation. Optimize workflows for performance gains in query and visualization layers, and build end-to-end reporting solutions. Collaborate with analytics and finance leaders to democratize data and translate business needs into actionable data products. This remote position offers opportunities to make a significant impact on the team's efficiency and success.

Requirements

• 5+ years of work experience using data engineering and analytics to build an enterprise
• Proven development skills, particularly in SQL and Python
• Familiarity with the gambit of old-school and next-gen database technologies, particularly the AWS technical stack, Teradata, and MSSQL
• Experience balancing both speed and quality. You know how to context switch between the two priorities depending on the project and task
• Experience with Tableau, crafting data sources, and tuning for performance

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
• Other family-friendly benefits including parental leave