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, and act as a technical specialist for data product implementation. Responsibilities include optimizing workflows, building end-to-end reporting solutions, and documenting work products. This remote position requires 5+ years of experience in data engineering and analytics, strong SQL and Python skills, and experience with Tableau. Excellent communication and collaboration skills are essential. GoDaddy offers a range of benefits, including paid time off, retirement savings, bonuses, health benefits, and parental leave.

Requirements

• 5+ years of work experience using data engineering and analytics to build an enterprise
• Strong 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
• You have 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
• Superb communication skills, with the ability to translate business needs into executable requirements
• Ability to partner and collaborate across many teams, context switching between technical discussions of databases and queries to business discussions about customer behavior and financial improvements

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