
Data Analysis Professional
3 days ago
We are seeking a Data Analyst to join our team.
As a Data Analyst, you will play a crucial role in developing automated data solutions, creating comprehensive dashboards, and utilizing advanced Excel functionalities.
Key Areas of Expertise:1. Visual Basic for Applications (VBA)- Responsibilities:
- Develop and maintain complex VBA applications to automate repetitive tasks.
- Incorporate SAP Scripting within VBA to optimize business processes.
- Troubleshoot and debug existing VBA code to ensure smooth functionality.
- Criteria:
- Advanced proficiency in VBA programming.
- Demonstrated experience with SAP interfaces and scripting.
- Ability to write modular, efficient, and maintainable code.
- Knowledge of Excel object model and its functionalities.
- Responsibilities:
- Utilize Power Query for data extraction, transformation, and loading (ETL) processes.
- Develop and maintain data models in Excel to streamline data preparation.
- Create and optimize Power Query scripts for efficient data processing.
- Criteria:
- Intermediate experience with Power Query including M language for data transformation.
- Familiarity with connecting Power Query to various data sources (e.g., databases, APIs).
- Ability to perform data cleansing and manipulation through Power Query.
- Responsibilities:
- Create interactive, user-friendly dashboards and reports using Power BI.
- Collaborate with stakeholders to gather reporting requirements and deliver insights.
- Optimize Power BI reports for performance and usability.
- Criteria:
- Intermediate knowledge of Power BI Desktop and Power BI Service.
- Ability to create DAX measures and calculated columns for enhanced analytics.
- Familiarity with data visualization best practices and techniques.
- Responsibilities:
- Develop Python scripts to automate data manipulation and Excel-related tasks.
- Utilize libraries such as Pandas and NumPy for data analysis and automation.
- Collaborate with the data team to integrate Python solutions with existing tools.
- Criteria:
- Intermediate proficiency in Python, especially in data manipulation and automation.
- Experience with libraries like Pandas, NumPy, and openpyxl for Excel automation.
- Understanding of APIs and ability to retrieve data programmatically.
- Bachelor's degree in computer science, data science, statistics, mathematics, or a related field.
- A minimum of 4 years' experience in a data-related role, focusing on the technologies mentioned.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills and the ability to work collaboratively with diverse teams.
- Experience with SQL and relational databases for data querying and data management.
- Familiarity with other business intelligence tools (like Tableau or QlikView) is a plus.
- Knowledge of machine learning principles is an advantage.
- Understanding of data warehousing concepts and methodologies.
We offer a comprehensive compensation package that includes benefits and opportunities for career growth.
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