Sr Data Analyst Identity Platform

București
Permanent
Full-time

Acum 9 zile

The OpportunityThe Identity and Administration team is looking for a motivated and versatile data analyst to drive Data & Insights for business decision making and growth testing. You will employ data to deeply understand customers through their administrative journey. The ideal candidate will have deep technical skills, a passion for delivering compelling customer analytics, curiosity, comfort with ambiguity, and able to influence partners to drive strategy.What you'll Do

Lead strategic analytics projects, presenting findings that provide impactful insights for key collaborators.
Apply data from various sources to understand customer behavior, including in-product engagement, purchase patterns, and retention. Build compelling narratives to drive action and find opportunities to improve the administration experiences.
Develop agile Analysis frameworks to ensure quick and high-quality data insights that advise strategic decisions.
Collaborate closely with Product teams to successfully implement the right strategies for Identity-based experiences in fast paced, data-driven environment.
Design, implement, and analyze A/B experiments, delivering comprehensive reports and actionable insights to drive product improvements.
Partner with enablement and development teams to ensure accurate analytics measurement across existing and new features, supporting data systems.
Build and maintain dashboards to facilitate self-serve information access for teams.

What you need to succeed

A Bachelor's degree or equivalent experience in computer science, statistics, physics, or a related field. Technical experience of a similar level will also be taken into account.
5-7+ years of direct experience as a Data Analyst.
Deep understanding of statistics and expertise in building, productizing, maintaining, and improving predictive models is preferred.
Strong proficiency in querying, manipulating, validating, and analyzing large datasets using SQL or Hive.
Experience in ML modeling and data inference is highly desirable.
Proficiency with Python, R, or any other scripting language.
Experience with data visualization tools such as Tableau or Power BI.
Familiarity with Adobe Analytics and Amplitude is a plus.
Strong self-starter with a proven track record of delivering business insights that have crafted product strategy.
Outstanding communication and teamwork skills to work effectively with multidisciplinary teams.

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