Manager, Data Analyst (User Insights)

As a Data Analyst in the IT Global End User Services (GEUS) team, you will play a crucial role in understanding and improving the user experiences with IT across the globe. By leveraging your analytical skills and commitment to customer excellence, you will make a significant impact in this dynamic environment.

• *Key Responsibilities:**
• Perform qualitative and open text data mining to provide actionable insights to key stakeholders.
• Manage the production of dashboard reports and participate in the review, design, and modification of reports.
• Independently handle projects with a problem-solving attitude to identify insights and recommendations.
• Analyze and interpret data to identify patterns, trends, and potential solutions.
• Utilize advanced knowledge of quantitative and qualitative data research methodologies for effective design.
• *Qualifications Required:**
• Bachelor's degree in Information Technology, Computer Science, or any Technology-related field.
• 2-3 years of relevant experience in data analysis and dashboard visualization.
• Technical knowledge of IT stacks including end-user computing, print, applications, servers, network, and infrastructure.
• Experience in data engineering, integration, modeling, and visualization.
• Familiarity with data co-relation across platforms like ServiceNow and AWS Cloud.
• Proficiency in programming languages such as SQL, Python, and API for database integration scripting.
• Demonstrated curiosity in understanding customer needs and preferences.
• Strong analytical aptitude, problem-solving skills, and logical reasoning.
• Good interpersonal skills, team-player attitude, and effective communication abilities.
• Skilled at partnering, innovating, and driving results while aligning with core values.

This role requires a proactive individual with a keen eye for detail, analytical mindset, and a passion for delivering exceptional user experiences. If you are ready to take on the challenge of analyzing complex data to drive business insights and improvements, we welcome you to join our team.

Skills: SQL, data engineering, Data Analysis, Python

Experience: 2.00-5.00 Years As a Data Analyst in the IT Global End User Services (GEUS) team, you will play a crucial role in understanding and improving the user experiences with IT across the globe. By leveraging your analytical skills and commitment to customer excellence, you will make a significant impact in this dynamic environment.

• *Key Responsibilities:**
• Perform qualitative and open text data mining to provide actionable insights to key stakeholders.
• Manage the production of dashboard reports and participate in the review, design, and modification of reports.
• Independently handle projects with a problem-solving attitude to identify insights and recommendations.
• Analyze and interpret data to identify patterns, trends, and potential solutions.
• Utilize advanced knowledge of quantitative and qualitative data research methodologies for effective design.
• *Qualifications Required:**
• Bachelor's degree in Information Technology, Computer Science, or any Technology-related field.
• 2-3 years of relevant experience in data analysis and dashboard visualization.
• Technical knowledge of IT stacks including end-user computing, print, applications, servers, network, and infrastructure.
• Experience in data engineering, integration, modeling, and visualization.
• Familiarity with data co-relation across platforms like ServiceNow and AWS Cloud.
• Proficiency in programming languages such as SQL, Python, and API for database integration scripting.
• Demonstrated curiosity in understanding customer needs and preferences.
• Strong analytical aptitude, problem-solving skills, and logical reasoning.
• Good interpersonal skills, team-player attitude, and effective communication abilities.
• Skilled at partnering, innovating, and driving results while aligning with core values.

This role requires a proactive individual with a keen eye for detail, analytical mindset, and a passion for delivering exceptional user experiences. If you are ready to take on the challenge of analyzing complex data to drive business insights and improvements, we welcome you to join our team.

Skills: SQL, data engineering, Data Analysis, Python

Experience: 2.00-5.00 Years