Data Engineer & Data Analyst Manager | For Our Client

Responsibilities : 
- Design multiple analytical dashboards in Google Data Studio using advanced techniques (data blending, CASE function, custom metrics, etc.) to show relevant KPIs
- Perform ad hoc analysis/reporting to prepare the necessary data for meetings promptly
- Conduct data cleaning and data merging to break bundle product data into individual product data using analytic tools
- Developing and maintaining databases, and data systems – reorganizing data in a readable format
- Performing analysis to assess the quality and meaning of data
- 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
- Analyzing local, national, and global trends that impact both the organization and the industry


JOB REQUIREMENT

- Proficiency in languages like Python, R, and SQL for data manipulation and analysis
- Knowledge of statistical methods to analyze data and derive insights
- Skills in creating visual representations of data using tools like Tableau, Power BI, or Python libraries like Matplotlib and Seaborn
- Experience with databases like SQL Server, MySQL, or PostgreSQL
- Strong analytical thinking, problem-solving, and communication skills to interpret and present data effectively
- Knowledge of design principles to create user-friendly and visually appealing dashboards
- Ability to integrate data from various sources into a cohesive dashboard
- Skills in ensuring a smooth user experience with interactive elements and clear data presentation
- Excellent communication and presentation skills
- Understanding machine learning algorithms to build predictive models is a plus
- Understanding business intelligence concepts to align dashboards with organizational goals is a plus

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