Growth Analyst Vacancy at GoDaddy

GoDaddy is hiring an experienced Growth Analyst at their Hyderabad location

Job Update: Growth Analyst Vacancy at GoDaddy

SANDEEP KUMAR | Jun 8, 2024 |

Growth Analyst Vacancy at GoDaddy

Growth Analyst Vacancy at GoDaddy


GoDaddy is hiring an experienced Growth Analyst at their Hyderabad location. This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.

The complete details of this job are as follows:

Roles and Responsibilities

  • Build detailed solutions for a) reporting A/B test and experimentation results; b) building business cases; and c) business performance reporting and related recommendations
  • Identify and accelerate the levers that drive profitable growth by developing attribution models, consumer behaviour models, and data-driven insights
  • Provide revenue optimisation recommendations by conducting in-depth analytics, including clustering, to drive personalization for marketing efforts (e.g., product, price, promotion, place)
  • Deliver clear and relevant analyses, including Tableau dashboards. Show results in easy-to-understand visualisations that improve decision-making quality and increase decision-making velocity
  • Lead exploratory analyses with limited supervision, including identifying appropriate datasets, writing data queries, and cross-validating findings

Eligibility Criteria:

  • 3+ years of work experience in an analytics role
  • Expert proficiency in data querying languages SQL and Hive as well as cloud computing platform AWS
  • Expertise communicating data in visualisation tools like Tableau
  • Proven track record to decide appropriate analytical frameworks to provide actionable insights
  • Command over analytical techniques such as linear regression, binary classification, clustering, time series forecasting, and multi-variate experimentation

Disclaimer: The Recruitment Information provided above is for informational purposes only. The above Recruitment Information has been taken from the official site of the Organisation. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company or organization posted the recruitment Vacancy. We don’t charge any fee for providing this Job Information. Neither the Author nor Studycafe and its Affiliates accepts any liabilities for any loss or damage of any kind arising out of any information in this article nor for any actions taken in reliance thereon.

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