Data  Analyst (225-927)

We are seeking an analytical and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for transforming raw data into actionable insights that will drive key business decisions. Your role will involve collaboration with different departments to understand their needs, designing and implementing data systems, and ensuring data accuracy and integrity. You will have the opportunity to work on a variety of projects, using the latest data analytics tools and technologies. This position is ideal for someone who is passionate about data, possesses excellent problem-solving skills, and has the ability to communicate findings effectively to a non-technical audience. If you are eager to contribute to strategic initiatives and make a tangible impact, this role is perfect for you.

Responsibilities

• Collect, clean, and analyze data from various internal and external sources.
• Develop and implement data collection systems to optimize efficiency and quality.
• Interpret data, analyze results, and provide ongoing reports to stakeholders.
• Work with management to prioritize business and information needs effectively.
• Identify patterns, trends, and insights to inform strategic business decisions.
• Use statistical tools to interpret complex datasets and solve business problems.
• Create visualizations and dashboards for easier understanding of the data.
• Collaborate with IT and business teams to align reporting and data management.
• Produce and maintain documentation related to data processes and procedures.
• Monitor data quality and integrity, implementing improvements as needed.
• Support ad-hoc data requests and provide actionable insights on demand.
• Stay updated with the latest data analytics trends and technologies.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience as a Data Analyst or similar analytical role required.
• Strong proficiency with SQL, Excel, and data visualization tools like Tableau.
• Excellent analytical skills with the ability to collect and analyze raw data.
• Experience with statistical modeling and machine learning techniques is a plus.
• Strong problem-solving skills and attention to detail in data evaluation.
• Ability to effectively communicate complex data insights to non-technical audiences.