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Senior Data Analyst

Job ID: ID von_52498667
Full time
Bucharest
Senior
28-10-2026
Employer Profile

software

Responsibilities

The Opportunity

 

The Identity and Administration team is looking for a motivated and versatile Senior 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, deliver 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.

Requirements

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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