Data  Analyst (225-726)

We are seeking a skilled Data Analyst to join our dynamic team. The ideal candidate will exhibit strong analytical skills, an eye for detail, and the ability to manage vast amounts of data efficiently. As a Data Analyst, you will be responsible for transforming data into actionable insights that drive business decisions. You will work closely with different departments, strategizing and implementing data-driven strategies that ensure optimized performance and growth. Your role will involve handling large datasets, building dashboards, preparing reports, and presenting your findings to stakeholders. If you are passionate about numbers and looking for a challenging yet rewarding opportunity, we encourage you to apply.

Responsibilities

• Collect, organize, and analyze large datasets to derive meaningful insights.
• Develop and maintain dashboards to visualize complex data trends and patterns.
• Collaborate with cross-functional teams to understand data needs and requirements.
• Perform data cleansing and validation to ensure accuracy and completeness.
• Generate comprehensive reports to support business decision-making processes.
• Monitor and audit data quality, identifying and correcting inconsistencies.
• Utilize statistical techniques to interpret data and forecast future trends.
• Assist in designing and implementing new analytical approaches and methodologies.
• Document and present findings and recommendations to stakeholders and executives.
• Stay updated with industry trends and advancements in data analytics tools.
• Ensure data collection processes adhere to legal and industry standards.
• Continuously seek opportunities to improve existing data systems and processes.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in data analysis tools such as SQL, Python, or R is required.
• Prior experience with data visualization software like Tableau or Power BI is preferred.
• Strong problem-solving skills with an analytical and detail-oriented mindset.
• Excellent verbal and written communication skills for presenting data insights.
• Capability to work independently as well as part of a collaborative team.
• Demonstrable ability to manage multiple data projects simultaneously.
• Knowledge of predictive modeling and machine learning algorithms is a plus.