Senior Business Analytics Analyst

Summary

Join GoDaddy's Strategic Finance team as a Senior Analytics Engineer. This remote position in India requires working three out of five days until 10 pm IST. You will build and optimize data structures, automate tasks using various tools (Redshift, Spectrum, S3, SQL Server, Teradata, Athena), and create end-to-end reporting solutions. Collaboration with multiple teams is crucial, requiring strong communication and technical skills. The ideal candidate is a quick learner, result-oriented, and possesses a strong affinity for efficiency. GoDaddy offers a competitive benefits package.

Requirements

• 5+ years of work experience using data engineering and analytics to build an enterprise
• Strong development skills in SQL and Python
• Familiarity with the AWS technical stack, Teradata, and MSSQL
• Experience with Tableau, crafting data sources, and tuning for performance
• 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
• 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/Quicksight 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