We are seeking a skilled Data Analyst to support data-driven decision-making across the organization. If you have a strong background in data analysis, SQL, Python, and business intelligence tools, and an interest in Machine Learning, we want to hear from you!
Key Responsibilities:
- Extract, analyze, and visualize data to support business operations and decision-making.
- Write and optimize SQL queries for data extraction and reporting.
- Use Python and related libraries (e.g., pandas, numpy) for data manipulation, automation, and ETL tasks.
- Leverage business intelligence tools (e.g., Power BI, Tableau, Looker) to create dashboards and data visualizations.
- Collaborate with business units to understand their data needs and develop actionable insights.
- Explore machine learning and AI techniques for potential implementation within analytics.
Qualifications:
- Education: Bachelor’s degree in Data Science, Information Technology, or related field.
- Experience: 1-3 years of experience as a Data Analyst or in a similar analytical role.
Skills:
- SQL: Proficiency in writing and optimizing complex SQL queries.
- Python: Hands-on experience with data manipulation, automation, and ETL tasks.
- Advanced Excel: Proficiency in Pivot Tables, VLOOKUP, INDEX-MATCH, and other functions.
- Business Intelligence Tools: Experience with tools such as Power BI, Tableau, or Looker.
- Web Development (Nice to Have): Basic understanding of React, Node.js, or PHP for API or web integration.
- Machine Learning & AI (Nice to Have): Experience with machine learning tools and model implementation.
Personal Attributes:
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to work collaboratively in a team-oriented environment.
- Stakeholder Management, Experience working directly with different departments or stakeholders to understand their application requirements and resolve concerns.
- Training and Documentation, Ability to create user-friendly documentation and conduct training sessions for end-users on key applications.