Source description
About the role
As a Data Analyst in the IT Global End User Services (GEUS) team, your role will involve digging into complex, distributed, and unstructured data to uncover insights that will improve user experiences with IT. Your work will focus on understanding the pain-points of colleagues worldwide and collaborating with stakeholders to provide actionable insights. You will be responsible for analyzing data, identifying patterns and trends, and proposing solutions. Your ability to handle projects independently will be crucial in this role. Key Responsibilities: - Perform qualitative and open text data mining to uncover insights for key stakeholders - Analyze and interpret data to identify patterns, trends, and solutions - Utilize quantitative and qualitative research methodologies effectively - Collaborate with stakeholders globally to enhance user experiences with IT Qualifications Required: - Bachelors degree in Information Technology, Computer Science, or a related field - 2-3 years of 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 correlation across platforms such as ServiceNow and AWS Cloud - Proficiency in programming using SQL, API, Python, and database integration scripting - Experience in programming surveys using tools like Qualtrics XM If there are any additional details about the company in the job description, please provide them. As a Data Analyst in the IT Global End User Services (GEUS) team, your role will involve digging into complex, distributed, and unstructured data to uncover insights that will improve user experiences with IT. Your work will focus on understanding the pain-points of colleagues worldwide and collaborating with stakeholders to provide actionable insights. You will be responsible for analyzing data, identifying patterns and trends, and proposing solutions. Your ability to handle projects independently will be crucial in this role. Key Responsibilities: - Perform qualitative and open text data mining to uncover insights for key stakeholders - Analyze and interpret data to identify patterns, trends, and solutions - Utilize quantitative and qualitative research methodologies effectively - Collaborate with stakeholders globally to enhance user experiences with IT Qualifications Required: - Bachelors degree in Information Technology, Computer Science, or a related field - 2-3 years of 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 correlation across platforms such as ServiceNow and AWS Cloud - Proficiency in programming using SQL, API, Python, and database integration scripting - Experience in programming surveys using tools like Qualtrics XM If there are any additional details about the company in the job description, please provide them.
More at Merck Sharp & Dohme
Related open roles
Specialist, Asset Reliability Technical Analyst
Hyderabad
Spclst , Domain Enablement Analyst
Hyderabad · Hybrid
Senior Specialist, RWD Domain Enablement Analyst
Hyderabad · Hybrid
Sr Spclst , Data Science
Hyderabad
Senior Principal Statistical Programmer
Hyderabad
Senior Specialist, BD Rapid Analytics (Pune)
Mumbai