• Implement data quality processes and procedures
• Investigate and analyze data issues related to quality
• Execute data cleansing and transformation tasks
• Design and build data pipelines
• Develop and apply advanced analytical techniques
• Document data quality findings and recommendations
• Collaborate with other functions and lead teams
• Solve complex business problems using data

Requirements

Bachelor's degree
3+ years of experience in data analysis
Functional knowledge of Workday core HCM & Recruitment processes
Hands-on experience in Workday including Prism Analytics
Data cleansing, preprocessing and exploratory data analysis
Automating data testing using scripting languages like Python, BI tools like Qlik
Exposure to cloud platforms like AWS / Azure
Basic knowledge in microservices
Understanding of big data architecture and exposure to Hive / Impala
Hands-on experience in Python / Spark

🔍 ATS Optimization Keywords
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Hard Skills

data quality processes
data cleansing
data transformation
data pipelines
advanced analytical techniques
data analysis
scripting languages
Python
Spark
big data architecture

Soft Skills

collaboration
leadership
problem solving

Certifications & Qualifications

Bachelor's degree

Data Analyst

Data Analyst