using tools such as Power BI, Tableau, or Excel.
Proficient in
SQL
for querying and data extraction, with the ability to work on relational databases (MySQL, PostgreSQL, SQL Server, Oracle).
Hands-on experience with
data cleaning, transformation, and validation
to ensure accuracy and consistency of reporting.
Ability to translate business requirements into meaningful
dashboards, insights, and performance metrics
.
Familiarity with
Python/R
/R for data analysis, statistical modeling, and automation (preferred).
Knowledge of
ETL processes
and experience working with large datasets across multiple sources.
Strong analytical thinking with attention to detail, accuracy, and problem-solving mindset.
Good understanding of working in an
Agile development environment
, with exposure to collaboration tools (JIRA, Azure Boards, Confluence, etc.).
Excellent
communication and presentation skills
, with the ability to collaborate across business, operations, and technology teams.
Bachelor's degree in
Computer Science, Statistics, Mathematics, Engineering, or related field