Data Analyst 27D25

We are looking for a skilled and analytical Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. You will develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality. Your insights will be critical in our decision-making processes, driving business strategies, and improving our operational effectiveness. You will work closely with cross-functional teams to provide analytical support and ensure data integrity. If you have a passion for numbers, a knack for problem-solving, and an eye for detail, we want to hear from you.

Responsibilities

• Collect, clean, and validate data from various sources to ensure accuracy.
• Interpret data and analyze results using statistical techniques and tools.
• Develop and implement databases, data collection systems, and data analytics strategies.
• Collaborate with cross-functional teams to understand data needs and provide analytical insights.
• Create detailed reports and presentations to communicate findings to stakeholders.
• Identify patterns, trends, and correlations in complex data sets for valuable insights.
• Work with management to prioritize business and information needs effectively.
• Design and build dashboards to track key performance indicators and metrics.
• Ensure data integrity and compliance with company policies and industry standards.
• Support the data warehouse in identifying and revising reporting requirements.
• Stay up-to-date with data analysis tools and techniques for process improvements.
• Train and mentor junior team members in data analysis practices and methodologies.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in SQL and data visualization tools such as Tableau or Power BI.
• Excellent analytical skills with the ability to collect, organize, analyze data.
• Experience with data cleaning, mining, and segmentation techniques is essential.
• Ability to present complex information in a clear and concise manner.
• Strong problem-solving skills and an analytical and methodical approach to work.
• Exceptional attention to detail and high standards of accuracy and precision.
• Strong communication skills to effectively collaborate with team members and stakeholders.