Roles and Responsibilities:
- To dig data from primary and secondary sources
- To clean the data and discard irrelevant information
- To perform data analysis and interpret results using standard statistical methodologies
- To highlight changing trends, correlations and patterns in complicated data sets
- To strategize process improvement
- To ensure clear data visualizations for management
- To design, create and maintain relevant and useful databases and data systems
- To prioritize tasks and solve code problems and other data-related issues
- To identify trends and make forecasts
- To create data dashboards, graphs and visualizations
- To produce and track key performance indicators
Skills Required:
Technical Skills:
- High-level analytical and problem-solving skills.
- Fundamental knowledge in statistics and mathematics.
- Hands-on experience in advanced spreadsheet like MS Excel and Google sheets(Including DAX, PowerPivot, VBA and App scripting)
- Experience in any scripting language like Python, SQL, MongoDB and NOSQL DB
- Good data visualization skills using tools like Google data studio, Tableau, QlikView and Power BI.
- Understanding of Google Analytics 4 and Google Tag Manager Reports
- Data Mining
- Behavioral Skills
- Critical thinking
- Adaptive
- Eye for detail
- Decision-making- Problem solving skills
- Basic Understandings
- Descriptive Analysis: Analysis based on historic data of what happened
- Diagnostic Analysis: Analysis of data to find out of why it happened
- Predictive Analysis: Analysis of data to find out what will happen in future (trends and changes)
- Prescriptive Analysis: Finding out what should be done in future
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