Senior Data Research Associate
Senior Data Research Associate
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Job Description
Responsibilities:
Your main objective will be to control the quality of the work done by your junior colleagues particularly on complex sensitive or disputed metrics and ensure a 99.9 accuracy level
Liaise with the Editorial and Data Analysis teams to ensure methodologies are comprehensive and accurate
Help build a knowledge base by providing feedback on existing research methodologies and how they reflect the real world
Ensure the data is entered correctly and in the expected format
Coordinate with the Data Manager to deliver data sets within a set schedule
Skill & Experience
We are looking to build a large team of researchers who are able to work proactively and in an agile manner and can provide a meticulous working style with a sharp eagle eye for details and spotting errors. The perfect candidate will be a great communicator confident to communicate effectively with varying audiences and seniority and will have a strong desire to learn about the variety of topics we cover eventually specializing in one.
We need people who are not afraid to ask questions when needed and are proactive and willing to help their colleagues provide us with the best data and build knowledge.
You will be expected to proactively seek out ways to complete tasks more effectively and efficiently. Providing solutions to management on how this can be improved for both you individually and the wider Data Research Team.
You will be able to demonstrate the ability to manage your own time effectively to ensure the required production requests are completed in a timely manner.
Qualifications :
4 years of work experience in data collection data research content research or QA and proven track record of accuracy or a related academic experience
Candidates who have completed courses or a formal education in topics related to finance data or business or a personal interest in one or more of the following topics: Personal finance health products home improvement entrepreneurship higher education and online courses.
Additional Information :
Perks:
Day off on the 3rd Friday of every month (one long weekend each month)
Monthly Wellness Reimbursement Program to promote health wellbeing
Monthly Office Commutation Reimbursement Program
Paid paternity and maternity leaves
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
