Basic
Data Analyst Identity Platform
Posted: 26.05.2026
Closing date: 10.07.2026
Job reference: da539d05c9f60e42a2e9896d46fe99ae
Job information
Location
Bucuresti, Romania
Company
Jobio
Client / Employer
Adobe
Job reference
da539d05c9f60e42a2e9896d46fe99ae
Listing type
Basic
EU work permit required
No
Posted
26.05.2026
Closing date
10.07.2026
Job description
The Opportunity The 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.About AdobeAdobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe togetherAt Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email ******** or call +******** . AI Use Guidelines for Interviews:Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Skills
analyse big data
apply statistical analysis techniques
Business Analytics
Business Intelligence
cloud technologies
collect ICT data
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
define data quality criteria
deliver visual presentation of data
digital data processing
documentation types
establish data processes
execute analytical mathematical calculations
Game Theory
gather data for forensic purposes
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
LDAP
LINQ
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage quantitative data
Marketing Analytics
MDX
multidisciplinary research
N1QL
normalise data
online analytical processing
perform data cleansing
perform data mining
query languages
report analysis results
Research Design
resource description framework query language
Social Network Analysis
SPARQL
statistical modeling techniques
Statistics
store digital data and systems
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
Web Analytics
XQuery