Description

Research Executive (Data Executive)
Delivery 
TNS UK Ltd
More London Place, SE1

 TNS, the leading Market Research partner, has an opportunity for a proactive data executive who can take on responsibility for day to day data activities. The position is within a key business area and offers an opportunity to get industry understanding within a client’s sector.

The successful candidate will have experience with Excel, Macros and a demonstrable attention to detail and accuracy. An interest in BI tools such as power pivot would be desired as there would be an expectation to get involved with different technologies.

 The role will involve:

• Designing and Interpreting KPIs to help the team identify issues with the project, process or data. An example would be that you would look at response rates of different categories of people and determine areas for improvement or risk.
• Creating data reports in Excel (the use of Macros to semi-automate repetitive checks is highly desirable) and designing checks on these to ensure data quality.
• Ensure the data team tasks are performed on time and to guidelines in order to meet client deadlines for data delivery.
• Input into system improvements, design scenarios to test the system and carry out user acceptance testing.

 You will have strong data skills and be comfortable working with large volumes of data and being accurate in outputs.  Data is reported on a daily, weekly and monthly basis with frequent requests for ad hoc cuts or reweights to be applied therefore good prioritisation and organisation skills are advantageous. You will work closely with other colleagues to ensure the volumes and accuracy of data are maximised.

 This position is one which sits within an executive team. Client contact will be on a daily basis in order to respond to client queries with a formal weekly client call and a monthly meeting.

Key Responsibilities:

• Responsible for final checks of the data prior to delivery to the client
• Own a set of KPIs and monitor the project performance against these
• Gain understanding of the systems in order to be able to create scenarios that can test the systems to ensure data quality
• Input into team and client meetings

 
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