Gartner

At Gartner, Inc. (NYSE: IT), we deliver actionable, objective insight that drives smarter decisions and stronger performance on an organization’s mission-critical priorities. We’ve grown exponentially since our founding in 1979 and we’re proud to have over 19,500 associates globally that support over 15,000 client enterprises in more than 100 countries.

Job Title:

Svcs Business Analytics Specialist (Python)

Last Date To Apply:

Not Specified

(Apply Link at the end)

ASAP, will end as soon as a certain number is reached

Experience Level:

Candidate should have 0 – 2 years of experience 

Job Location:

Gurgaon , India

Salary:

Not Specified

Eligible Batches:

Not Specified

Requirements:

• Bachelor’s degree in Computer Science (or related field) with preferably 0- 2 years of relevant work experience
• Excellent coding skills in python
• Good knowledge in SQL databases MySQL and Oracle
• Strong analytical skills with ability to synthesize data to design and deliver meaningful solutions
• Experience with advanced data manipulation and summarization skills using python and Excel Expert skill level in Microsoft Word, Excel, and PowerPoint
• Excellent stakeholder management skills

Job Description:

• Conceive, build and continuously enhance workflows with automation scripts and tools in a territory management team that would enable our Service associates to engage the clients in an operationally effective way
• Have end-to-end responsibility for leading projects focused on extracting, merging, analyzing, and managing large sets of data across multiple and disparate databases.
• Influence senior internal stakeholders on prioritizing the right problems and to jointly implement initiatives.
• Create innovative solutions to complex data-driven problems and maintain/enhance existing automation workflows as required.
• Work on cross-product initiatives that are of high importance and bring significant impact on retention.
• Streamline processes with stakeholders across initiatives so there is a productivity gain in our initiatives.
• Analyze territory performance to identify areas of focus. Identify trends and insights from data while leveraging the right analytical tools and techniques to improve territory enrichment data quality.
• Solve bugs and data quality issues by proactive collaboration with stakeholders and partners to fix data issues or integrate data into analytics system.