Data Analyst

Using automated tools to extract data from primary and secondary sources. Removing corrupted data and fixing coding errors and related problems. Developing and maintaining databases, data systems – reorganizing data in a readable format.

1. Performing analysis to assess quality and meaning of data.
2. Filtering data by reviewing reports and performance indicators to identify and correct code problems.
3. Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
4. Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
5. Analyzing local, national, and global trends that impact both the organization and the industry.
6. Preparing reports for management stating trends, patterns, and predictions using relevant data.
7. Preparing final analysis reports for stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends.

Job Specification

1. Strong mathematical skills to help collect, measure, organize, and analyze data.
2. Knowledge of programming languages like SQL, BigQuery, Snowflake, Redshift, or others like Power BI and Tableau.
3. R/Python would be a plus but not essential.
4. Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
5. Proficiency in statistics and statistical packages like Excel, SPSS, and SAS for data set analysis.
6. Excellent communication and presentation skills.
7. Ability for critical thinking.
8. Creativity.
9. Having a systematic and logical approach to problem-solving.