IT Data Analyst

MANDATORY : 

Data analyst who can do Power BI

1. Data Collection and Processing:

Coordination with Sales Marketing Depanemem to check latest pricing

Entry data (Cutamer, Price, Clinician, Agreement) to data master

Collect and integrate data from various sources,

including internal systems, external databases, and business applications,

Clean, transform, and prepare data for analysis to ensure accuracy and completeness.

2. Data Analysis and Reporting :
Perform data analysis to identify trends, patterns, and insights that support business decisions and operational improvements.
Create and maintain reports, dashboards, and visualizations to effectively communicate data findings to stakeholders.
Support ad-hoc data analysis requests from different departments and provide timely and accurate results.

3. Data Quality and Integrity:
Monitor and ensure the quality and integrity of data across systems, identifying and addressing any discrepancies or issues.
Assist in implementing data governance practices to maintain data accuracy and compliance with industry regulations

4. Technical Support and Troubleshooting
Provide technical support for data-related issues, including troubleshooting data extraction and reporting problems
Response and Resolution Times
Collaborate with IT and other departments to resolve data-related challenges and improve data processes.

5. Tool and Technology Utilization
Utilize data analytics tools and technologies (eg. SQL, Excel, BI tools like Tableau or Power BI) to perform analysis and generate reports.
Stay up-to-date with advancements in data analytics
Tool Utilization Rates
tools and techniques to enhance analytical capabilities.

6. Documentation and Compliance
Document data analysis processes, methodologies, and Data Accuracy standards to ensure consistency and reproducibility,
Ensure that all data handling and analysis activities comply with relevant regulations and data protection standards (e.g., GDPR, HIPAA)

COMPETENCY REQUIREMENT: 

1. Gaining Commitment
2. Profitability Focus
3. Coaching
4. Decision Making
5. Execution

6.Work Standard

7. Digital Savvy

8. Digital Acumen

JOB SPECIFICATION 
Education :
Bachelor's degree Data Science, Statistics, Computer Science. Information Technology or a related field.
Minimum 3 years experiences data analysis or a related role, preferably in a multinational company
Experience : ( Non Mandatory)

Proven experience in managing and leasing a team of data analysts, with a track record of successful project management
Knowledge/Skill: 
Problem Solving & Decision Making, English Business Communication, Strong Staong analytical skills with the ability to interpret complex data and provide actionable insights, good understanding of data quality principles and data governance practices

Age :  Max  30 years old