Associate Data Engineer

• Company Gartner India
• No. of Openings 4
• Salary Not Disclosed
• Work Type on-site

Job Description :

Support the design, development, and implementation of our People analytics and data strategy. Our goal is to increase our analytical capabilities and derive actionable insights into our critical business issues, as well as create a scalable data infrastructure and user friendly reporting environment that can effectively support our growing company.

• Continually innovate on our data automation capabilities Continually look for ways to improve regular delivery of standard analysis/reporting through automation, streamlining, and migration to self-serve platforms.
• Support release and QA activities for data pipelines dashboards enhancements. This includes the development and execution of testing strategies.

• Help advance our data management capabilities Support initiatives to partner with IT to build a well-structured, easy to work with HR data warehouse that contains key business metrics in areas such as Quality of Hire, productivity, and resourcing
• Support bug/issue resolution processes: root cause analysis, impact analysis and solution design. This includes implementing, testing and deploying solutions
• Execution of general administration and reporting tasks pertaining to People Analytics and Systems management.

• Provide analytics and data support for our business partners Provide analytical support to projects that improve our performance (e.g. Quality of Hire): requirements, discussions, problem solving, analytics, share insights, build solutions, drive change
• Support broader People Analytics team objectives in delivery of tasks, projects, and enhancements.
• Create high quality analytics/reports and translate them into value added decisions and actions
• Support business reporting/data needs across Gartner accurately.

Experience Required - 1 - 4 Years.

Job Requirements

• Experience in data automation, analytics, problem solving
• Preferred Bachelor s Degree or equivalent in: Computer Science, Computer Engineering, Engineering, Management Science, Data Science
• Interests in pursuing a career in HR analytics, data engineering, data analytics and visualization, business intelligence, or analytical consulting
• Has the aptitude to use data, analytics, and business knowledge to solve complex business problems.
• Strong Excel skills
• Preferred experience in the following tools: Microsoft Azure, Azure DataFactory, Data Pipelining, Data Transformation, and ETL.