Roles and Responsibilities
A data analyst is responsible for organizing data related to numbers, market research, logistics, linguistics, or other behaviors. He /She utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
- 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, and data systems – reorganizing data in a readable format
- Performing analysis to assess the quality and meaning of data
- Filter Data by reviewing reports and performance indicators to identify and correct code problems
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
- Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
- Analyzing local, national, and global trends that impact both the organization and the industry
- Preparing reports for the management stating trends, patterns, and predictions using relevant data
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance
- Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
Key Skills Required
- Strong mathematical skills to help collect, measure, organize and analyze data
- Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
- Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
- Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases, Tableau, Power BI
- Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing
- Adept at using data processing platforms like Hadoop and Apache Spark
- Knowledge of data visualization software like Tableau, Qlik
- Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
- Problem-solving skills
- Understanding of SAP Systems. Familiar with the integration.
Education:
- BSc Computer Sciences
- Certification in data Analytics
Experience:
- 5 years of demonstrable experience in Data Analytics
I’m interested
