- Data Mining
- Google Analytics
GoDaddy powers the world's largest cloud platform dedicated to small, independent ventures. With nearly 18 million customers worldwide and over 77 million domain names under management, GoDaddy is the place people come to name their idea, build a professional website, attract customers and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company visit www.GoDaddy.com.
We are looking for a professional who has a passion for data and supplying their customers with insights. You’ll work closely with the Customer Care teams here at GoDaddy, creating reporting to optimize performance. You will be collaborating with the Marketing and Operations to drive revenue and customer engagement. You know and love working with analytic tools including Tableau and Excel, can write excellent SQL scripts, and can use your technical skills and creative approaches to solve the unique problems. You have experience with Big Data with preference in Hadoop. You’ll take quick action based on your analysis and observations to shift chat focus as well as developing strategies for long term improvement
Lead a team of analysts/developer(s) in best analytical practices
Make recommendations on ways to measure the business
Code review to ensure the data recommendations are sound
Create dashboards and analysis to determine the best approach for our customer base, identifying opportunities of incremental sales
Be a key member of the Care leadership team working with Marketing, Product, Operations and front-line agents to identify trends and spot opportunities
Measure pipeline sales and customer interactions
Analyze, visualize, and provide insight on significant amounts of data and build end-to-end reporting solutions to support company initiatives. Use data mining techniques to drive campaign strategy, increase revenue and improve efficiencies
Build dynamic and rich dashboards using out-of-box features, customizations, and visualizations
Perform large-scale data analysis and develop effective models for segmentation, classification, optimization, time series, website behavior, etc
Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating findings to cross functional groups
Explore and recommend emerging technologies and techniques to support/enhance BI landscape components
Write and create custom reports
BS/BA in Computer Science or Mathematics
Ability to write efficient SQL statements (SQL, HiveQL)
6+ years of experience with data analysis in a high energy dynamic environment
4+ years of experience with business intelligence tools (Tableau and Excel preferred)
3+ 3+ years of experience with BI in a customer care environment
Hands on and deep experience with schema design and dimensional data modeling
Ability to analyze data to identify deliverables, gaps and inconsistencies
Familiarity with outbound campaign strategy and design
Experience with web analytics tools (Google Analytics, SiteCatalyst, etc.)
Excellent communication skills including the ability to identify and communicate data driven insights
GoDaddy is an equal opportunity employer.
GoDaddy is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.
If you need assistance completing an application for a position with us, please reach out to our Recruiting Team at Recruiting@godaddy.com
To submit your application to this position, please click Apply .