Gartner Recruitment 2022 | Freshers | Associate | Any Degree – Data Collection | 2020/ 2021 Batch | Gurgaon
Company: Gartner India Research & Advisory Services Pvt Ltd
Gartner Recruitment 2022: Gartner, Inc. is the world’s leading research and advisory company. The company helps business leaders across all major functions in every industry and enterprise size with the objective insights they need to make the right decisions.
Gartner’s comprehensive suite of services delivers strategic advice and proven best practices to help clients succeed in their mission-critical priorities. Gartner is headquartered in Stamford, Connecticut, U.S.A., and has more than 13,000 associates serving clients in 11,000 enterprises in 100 countries.
Company Website: www.gartner.com
Positions: Associate – Data Collection
Experience: Freshers
Salary: Best In Industry
Job Location: Gurgaon
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Eligibility Criteria for Gartner Recruitment 2022:
- 0-1 Years of experience in Data Collection, Data Extraction, Data Entry, Marketing support functions such as List Building, Lead Qualification, etc.
- Bachelor’s degree in any stream
- Excellent writing and communication skills
- Good Excel and PPT skills
Job Description:
Gartner’s proprietary Digital IQ Index provides sector-specific research against which brands can benchmark their digital performance relative to industry competitors. This team is involved in extracting data from websites, dashboards & databases, Data cleaning and preparation for further analysis, etc. The Associate will carry out the data collection work for DIQ projects in the Marketing Practice. The job requires an individual who is a team player, with a proactive approach, interest in learning about new trends, ability to interpret information and apply the same to solve the problems.
Job Responsibilities:-
- Investigate and answer questions related to the content and configuration of brand sites
- Record observations, evidence and notes using internal platforms according to specified validation rules
- Flag website bugs, data point errors and usability issues to research leads and/or managers
- Check data for errors and provide colleagues with evidence/feedback on an ongoing basis
- Utilize various information and communication resources to improve data point comprehension and maximize data quality
- Deliver projects on time and maintain high-quality standards of the deliverables
- Work in a fast-paced work environment in close collaboration with the other team members
- Actively participate in formal and informal knowledge sharing sessions