About the role
Job Summary
Businesses, both large and small, deal with massive data volumes, and a lot depends on their ability to glean meaningful insights from them. A data analyst does precisely that. They interpret statistical data and turn it into useful information that businesses and organizations can use for critical decision-making. Data analysis tools assist you in uncovering key insights that lead to better informed and successful decision-making. It is concerned with the transformation of raw data into meaningful statistics, information, and explanations. Data Analysts collect data to help companies make the right decisions.
Day to day Responsibilities:
· Using automated tools to extract data from primary and secondary sources.
· Structure large data sets to find usable information.
· Developing and maintaining databases, and data systems – reorganizing data in a readable format.
· Collaborate with team members to on the collection and analysis of the data.
· Create presentations and reports based on recommendations and findings.
Essential Data Analyst Skills:
Data analysts need a mix of technical, analytical, and soft skills to effectively analyze data and communicate their findings. Here are essential skills to manage the tasks for the job:
Data Cleaning and Preparation
Data analysts should know how to clean and prepare data for analysis. This includes removing errors, identifying outliers, and transforming data into a format that can be analyzed.
Excel proficiency
Ability to make macros; Additional Plus if the candidate has Microsoft Access knowledge.
Database Management
The ability to query databases using SQL is essential for extracting data. Knowledge of database systems like MySQL, PostgreSQL, Oracle, or MS SQL. (Understand table relation, Join)
Creating Dashboards and Reports
Data analysts need to be able to create dashboards and reports that communicate insights to stakeholders. This includes using tools like Tableau, BI, and Microsoft Excel to create interactive dashboards and reports.
Communication
Clearly conveying findings, both written and orally, to non-technical stakeholders. This includes creating reports and presentations that gives the insights from the data.
Fluent oral and written English
Teamwork
Collaborating with other departments or teams, understanding their needs, and providing them with relevant data insights.
Ethical Judgement
Recognizing the ethical implications of data usage, storage, and analysis, especially in terms of privacy and security.
Additional Plus if the candidate has: SAP ERP basic understanding, how is managed Material Master data in ERP. (*No manipulation awaiting in SAP)