Data Analyst

Role & Responsibilities

As a Data Analyst at Golden Management Services, you will play a crucial role in transforming raw data into actionable business insights. Your key responsibilities will include:

• Collecting, cleaning, and validating data from diverse sources to ensure accuracy and integrity.
• Analyzing extensive datasets to identify significant trends, patterns, and opportunities for business improvement.
• Developing and presenting clear, concise dashboards and reports tailored for various business stakeholders.
• Designing, developing, and maintaining efficient SQL queries and database structures.
• Utilizing business intelligence (BI) tools for compelling data visualization.
• Providing data-driven recommendations and support to business teams to inform strategic decisions.
• Monitoring key performance indicators (KPIs) and generating comprehensive performance reports.

Required Skills

• Proficiency in SQL for data manipulation and querying.
• Expertise in Excel / Advanced Excel for data analysis and reporting.
• Experience with programming languages like Python or R for advanced data analysis.
• Hands-on experience with data visualization tools such as Power BI / Tableau.
• A solid understanding of statistical concepts and data modeling techniques.
• Excellent problem-solving abilities and strong analytical acumen.

Preferred Candidate Profile

We are looking for candidates with a keen eye for detail and a strong aptitude for data analysis. Ideal candidates will possess:

• Exceptional analytical and problem-solving skills with a meticulous attention to detail.
• Demonstrated proficiency in SQL, Advanced Excel, and various data analysis methodologies.
• Practical experience with data visualization tools like Power BI or Tableau.
• A foundational understanding of Python or R for data analysis is a plus.
• The ability to interpret complex datasets and translate them into easily understandable, actionable insights.
• A good grasp of statistical principles and business metrics.
• Effective communication and presentation skills to convey findings clearly.
• The capability to work both independently and collaboratively within a team setting.
• Previous experience working with large datasets and developing reporting dashboards.
• Internship or project experience in data analytics is highly preferred.