Data Analyst (225-702)

As a Data Analyst, you will be at the heart of our data-driven decision-making process, providing crucial insights and analysis that will help shape our business strategies. You will collaborate with cross-functional teams to collect, process, and analyze large datasets to make valuable recommendations. This role demands a keen eye for detail, strong analytical skills, and a passion for finding the story behind the numbers. You will be expected to present your findings clearly and effectively to non-technical stakeholders, ensuring data-driven decisions are accessible and actionable across the organization. Join us to transform data into a strategic asset, driving our growth and innovation in dynamic industries.

Responsibilities

• Collect and analyze data from various sources to inform business decisions.
• Develop reports and dashboards to present data insights to stakeholders.
• Collaborate with cross-functional teams to define business and data requirements.
• Evaluate and improve data collection processes and database systems.
• Use statistical techniques to identify trends and patterns in complex datasets.
• Assist in the design and implementation of data analysis methodologies.
• Provide actionable insights and recommendations based on data analysis.
• Monitor data quality and address any discrepancies or inaccuracies.
• Maintain documentation of data processes, analysis, and findings.
• Stay updated with industry trends and best practices in data analytics.
• Support the development of predictive models and machine learning algorithms.
• Present analysis results to technical and non-technical team members clearly.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience as a Data Analyst or in a similar role.
• Strong proficiency in data analysis tools and languages such as SQL and Python.
• Experience with data visualization platforms like Tableau or Power BI.
• Excellent problem-solving skills and attention to detail are essential.
• Ability to translate complex data insights into simple findings for stakeholders.
• Strong organizational skills with the ability to manage multiple priorities.
• Familiarity with machine learning techniques and statistical analysis tools.