Data Analyst

Data collection: Gathering raw information from multiple sources, such as

company databases, spreadsheets, or online forms.

Data analysis: Using basic math and tools (like SQL or Python) to look for

hidden patterns, trends, and answers to specific business questions.

Data visualization: Building clear charts, graphs, and interactive dashboards

using software like Power BI or Tableau

Reporting and sharing: Explaining complex findings in simple, everyday language

so managers and non-technical teams can understand them

• Tracking metrics: Monitoring key performance indicators (KPIs—specific numbers
• used to measure how well a project or business is doing).

• Working with teams: Collaborating with project managers, marketing staff, and
• data engineers to figure out what data the company needs next.

Qualifications

• Requirements:
• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or

related field. Master's degree preferred.

• Proven experience in data analysis, business intelligence, or related roles.
• Proficiency in data analysis tools and programming languages (e.g., SQL,

Python, R, etc.).

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and presentation abilities.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with data visualization tools (e.g., Tableau, Power BI, etc.) is a

plus.

• Knowledge of machine learning and data mining techniques is desirable.

Knowledge in SAP Preferred

Public Speaking a Plus