Data Analyst

Gather raw data from primary and secondary sources, databases, APIs, or spreadsheets.
Filter, sort, and remove errors or inconsistencies to guarantee high data quality before analysis.
Set up, optimize, and maintain data systems and databases to ensure smooth operations.
Use statistical techniques and software tools to spot hidden patterns, trends, and business correlations.
Build interactive dashboards, charts, and executive reports using tools like Tableau or Power BI.
Work with engineers, product managers, and leadership teams to address data gaps and support strategic decision-making.
Essential for corporate data tasks, requiring proficiency in pivot tables, formulas, and functions.
Used to extract, query, and manage data from relational databases.
Mastery of platforms like Tableau or Power BI to present findings via interactive dashboards.
Understanding descriptive and inferential statistics, probability, and regression modeling.
Critical thinking to identify trends, patterns, and anomalies in complex data sets.