Business Analyst
iXceed Solutions•Kraków
💰 Wynagrodzenie
Widełki nieujawnione
📋 Informacje
📝 Opis główny / Wstęp
Founded on the grounds of innovation – iXceed Solutions , is an ISO certified, leader in Talent and Digital recruitment solutions, serving fortune 100 companies globally. We have many global accolades to our credit – UK Enterprise Awards - HR Tech Startup of the year- Europe - 2022, UK IT Awards - Leading Talent & Digital Solutions of the Year 2022, Titan Awards- Entrepreneur of the Year -2023, Asia fastest growing HR tech companies in 2023, Iconic Brand of the Year in Staffing & Recruitment 2023, Top 4 The Most prominent Talent solutions firm to work with in 2024, Hottest HR Tech Startup by Business World, The Greatest Brands & Leaders Asia & GCC -2020 -2021 by AsiaOne and many more.
Website : www.ixceed-solutions.com
LinkedIn URL : https://www.linkedin.com/company/ixceed-solutions
Role Title: Business Analyst
Location: Kraków, Poland (3 days a week), Contract B2B and Permanent(Full-time)
BA role to have experience in the retail domain (e-commerce)
Looking for skills in advanced data capabilities, data quality, identifying scenarios and contexts of data .
Core Data Skills
• Experience in analysing complex data sets to identify trends, patterns, and insights.
• High proficiency in writing and understanding complex SQL
• Conducting data validation and ensuring data quality and integrity.
• Defining data quality checks
Data Discovery, Quality & Source Understanding
• Documentation of user process flows, constraints, logic, contexts and scenarios to ensure knowledge is built and retained
• Conduct detailed data investigations to uncover lineage, anomalies, and inconsistencies.
• Data quality check definitions and testing validation of datasets
Metadata Quality & Enhancement
• Collaborate with Data Engineering and Domain SMEs to document key data sets, tables, fields, and definitions.• Perform metadata assessments to identify gaps in definitions, lineage, and classifications.
• Define and maintain business metadata (e.g., glossary terms, KPIs, categorizations) and technical metadata (e.g., data types, source systems).
Data Modelling & Structure
• Contribute to the development and maintenance of logical and physical data models, especially for curated data layers (e.g., semantic models and gold data products).
• Recommend improvements to data schema design for analytical performance, standardization, and ease of use.• Provide ad-hoc analysis to support discovery-led initiatives, data migrations, or governance projects.