Data Analyst

About the Role

We are seeking a detail-oriented and analytical Data Analyst to join our team. This role is essential in transforming raw data into meaningful insights that drive informed business decisions. If you are passionate about data, enjoy problem-solving, and thrive in a collaborative environment, this position offers an exciting opportunity to make a tangible impact.

Key Objectives

• Analyze complex datasets to identify trends, patterns, and actionable insights.
• Support cross-functional teams by providing accurate and timely data reports.
• Enhance data collection procedures to improve data quality and efficiency.
• Communicate findings clearly to both technical and non-technical stakeholders.

Responsibilities

• Collect, clean, and validate data from multiple sources to ensure accuracy and completeness.
• Develop and maintain dashboards, reports, and visualizations using tools such as Excel, Tableau, or Power BI.
• Perform statistical analysis and data modeling to support business initiatives.
• Collaborate with teams across departments to understand data needs and deliver actionable insights.
• Identify opportunities to automate repetitive tasks and improve data workflows.
• Monitor key performance indicators (KPIs) and provide regular updates to leadership.
• Stay current with industry trends and best practices in data analysis and visualization.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience as a Data Analyst or similar role.
• Strong proficiency in SQL for data querying.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Solid understanding of statistical methods and data modeling techniques.
• Advanced skills in Excel, including pivot tables and formulas.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to explain complex data insights clearly.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• Experience with programming languages such as Python or R.
• Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure).
• Knowledge of machine learning concepts and tools.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work arrangements including remote work options.
• Opportunities for professional development and continuous learning.
• Collaborative and inclusive workplace culture.
• Paid time off and holidays.