Data Analyst (225-907)

We are seeking a meticulous and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will play a critical role in transforming raw data into valuable insights that drive informed decision-making across the organization. You will work closely with various departments to understand their data needs, develop comprehensive reports, and provide actionable insights. The ideal candidate should possess a strong analytical mindset, proficiency in data analysis tools, and the ability to communicate complex findings in a clear and concise manner. Your work will contribute significantly to enhancing our business strategies and operational efficiency. Join us if you're passionate about leveraging data to drive business success and thrive in a collaborative and fast-paced environment.

Responsibilities

• Analyze large sets of data to identify trends and patterns for business improvement.
• Develop and maintain comprehensive dashboards and reports for various teams.
• Collaborate with department leads to refine their data-related requests and needs.
• Utilize statistical techniques to interpret data sets and present findings.
• Ensure data integrity by performing regular data cleansing and validation checks.
• Design and implement databases, data collection systems, and analytical models.
• Communicate complex analytical insights in a clear and concise manner to stakeholders.
• Provide recommendations based on data-driven insights to support strategic decisions.
• Stay up-to-date with industry trends and best practices in data analysis.
• Train and support junior analysts and other team members as needed.
• Develop and automate reporting processes to enhance efficiency and accuracy.
• Collaborate with IT and other departments to facilitate data access and reporting.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of proven experience in a data analysis role.
• Strong proficiency in statistical software and data analysis tools like SQL, R, or Python.
• Excellent analytical abilities and a keen attention to detail in data examination.
• Ability to explain complex technical information to non-technical stakeholders clearly.
• Experience in using data visualization tools such as Tableau or Power BI effectively.
• Strong organizational skills with the ability to manage multiple projects simultaneously.