Data visualization tools (power bi, tableau, looker)
Experian is seeking a Senior Data Analyst to support strategic and operational decisions through data analysis and interpretation, with a strong emphasis on analytical depth and dashboard construction. The ideal candidate should possess advanced SQL skills, experience in data analytics, and a collaborative mindset to work with various teams
Job Summary
The Senior Data Analyst will be a technical reference within the team, ensuring analytical depth, data quality, and excellence in building dashboards, analytical models, and performance studies.
Responsibilities include detailed analysis of product performance, developing deep quantitative studies, building robust automated dashboards, and creating/maintaining analytical models.
Experian is committed to building an inclusive culture and an environment where people can balance their careers with personal commitments and interests, prioritizing well-being.
Matching Summary
Match Score: 85
Experian is seeking a Senior Data Analyst to support strategic and operational decisions through data analysis and interpretation, with a strong emphasis on analytical depth and dashboard construction. The ideal candidate should possess advanced SQL skills, experience in data analytics, and a collaborative mindset to work with various teams.
Skills & Requirements
Must-have
SQL (advanced)
Python or R for analysis
Data visualization tools (Power BI, Tableau, Looker)
Data modeling and KPI structuring
Advanced Excel/Sheets
Nice-to-have
Financial sector experience
Credit analysis experience
Basic applied statistics
Cloud environments (AWS, GCP, Azure)
Key Requirements
Solid experience as Data Analyst, Data Analytics, or Business Analytics
Experience with large data volumes
Experience in the financial sector, marketplace, or digital products (preferred)
Experience with credit analysis, funnel performance, or user behavior (preferred)
Basic knowledge of applied statistics (tests, intervals, simple regressions) (preferred)
Familiarity with cloud environments (AWS, GCP, Azure) (preferred)