• Identify and validate data sources aligned with business requirements and SLAs.
• Perform exploratory data analysis and apply statistical techniques to uncover trends.
• Translate business problems into data-driven solutions using appropriate tools and methods.
• Create impactful visualizations using tools like Tableau, PowerBI, and Python libraries.
• Promote data quality awareness and lead cleansing activities to improve data integrity.

Requirements

Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field.
Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
4 years' experience in data analysis, data science, statistics, or related field.
Experience with SQL, Python, and data visualization tools (e.g., Tableau, PowerBI).
Strong understanding of data governance, quality standards, and metadata management.
Ability to interpret business strategy and translate it into analytical tasks.
Familiarity with distributed databases (SQL/NoSQL) and data profiling tools.
Knowledge of cross-domain business practices and metrics (e.g., finance, marketing, HR).

🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.

Hard Skills

data analysis
data science
statistics
SQL
Python
data visualization
data governance
metadata management
data profiling
data cleansing

Soft Skills

analytical thinking
problem solving
communication
data quality awareness
business strategy interpretation

Certifications & Qualifications

Bachelor's degree
Master's degree

Senior Data Analyst

Senior Data Analyst