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| Title | Location | Description |
|---|---|---|
| Data Analyst Visual | • Data Analysis: Expertise in analyzing large and complex data sets using statistical techniques and data manipulation tools. Proficient in data cleaning, transformation, and validation to ensure data accuracy and integrity. • Statistical Analysis: Sound knowledge of statistical methods and their application in data analysis. Skilled in conducting hypothesis testing, regression analysis, and data modeling to identify patterns, correlations, and predictive insights. • Data Visualization: Proficient in conveying complex data findings through visually appealing and informative charts, graphs, and dashboards. Experience using tools like Tableau and Power BI. • Programming and Tools: Proficient in SQL for data extraction and manipulation. Skilled in using programming languages such as Python and R for data analysis and automation. Familiarity with tools like Excel, SPSS, and SAS. • Database Management: Experience in working with databases, including data extraction, data cleansing, and data integration. Proficient in SQL queries and database management systems like MySQL, MSSQL and Oracle. • Problem Solving: Strong analytical and problem-solving skills, with the ability to identify data-related issues, formulate effective solutions, and communicate findings to stakeholders. • Communication: Excellent verbal and written communication skills, with the ability to translate complex data analysis concepts into clear and concise reports and presentations. |