Data Analyst (225-625)

A Data Analyst plays a critical role in interpreting complex datasets to provide actionable insights that enable businesses to make informed decisions. In our fast-paced environment, the Data Analyst will gather, process, and interpret data while working closely with cross-functional teams to understand their unique data needs. As a part of the analytical team, you will be pivotal in ensuring data quality, developing reports, and supporting data-driven decision-making processes. You will contribute to building a data-centric culture by transforming raw data into meaningful insights, allowing the company to identify trends, opportunities, and areas for improvement. The ideal candidate will have strong analytical skills, experience in data management and analysis, and the ability to communicate findings effectively to non-technical stakeholders.

Responsibilities

• Collect, analyze, and interpret large datasets from various sources to support business objectives.
• Develop and maintain data systems and databases to ensure data accuracy and availability.
• Create detailed data visualizations and reports to communicate findings to stakeholders.
• Identify trends, patterns, and anomalies in data to inform strategic business decisions.
• Collaborate with cross-functional teams to define data collection and analysis processes.
• Ensure data integrity and quality through regular audits and data cleansing activities.
• Translate complex data into easy-to-understand insights for non-technical audiences.
• Improve data collection methodologies to enhance the quality and accuracy of analysis.
• Develop predictive models to support forecasting and strategic planning initiatives.
• Stay updated with the latest data analysis technologies and best practices.
• Provide technical support and training on data management and analysis tools to team members.
• Work with IT teams to streamline and automate data processes to improve efficiency.

Requirements

• Bachelor’s degree in Data Science, Statistics, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in data analysis tools such as SQL, Excel, and Tableau.
• Excellent analytical skills with the ability to collect, organize, and analyze data.
• Strong problem-solving skills and attention to detail when interpreting data.
• Ability to communicate complex data insights to non-technical stakeholders effectively.
• Experience in creating data visualizations and reports for business presentations.
• Proficiency with programming languages like Python or R is highly desirable.