Wednesday, 14 August 2013

August 15, 2013 Ipsos Career Opportunities 2013

Latest Careers in Kenya 2013 Senior Manager, Data Processing – Pan Africa Hub Ipsos is an innovative, entrepreneurial, focused organisation, providing researc services to clients on a global basis. We ourselves high standards and aim to wo collaboratively in partnership with our te in order to service our clients most effectively. We are a prime source of holistic marke information services that enhance planni and decision making in the Private, NGO Public Sectors across sub-Saharan Afric We are an integrated media research & media monitoring, social and market res company providing evidence and insight which inform and advise on a wide rang business and social issues. This role exists to ensure that Ipsos Pa Africa has the required data processing capabilities to meet our clients’ needs. The Manager is responsible for the management of the respective Teams in Pan Africa Hub in Nairobi. Leads the tea deliver data processing services as defi the scope of business of DP Pan Africa. The role holder will direct and manage t Data Processing Hub activities in line wit Department and Divisional strategy, to quality, faster and more robust deliverie market research analysis to clients. Ens the BU’s data processing requirements a met through effective resourcing and functionality. Responsible for meeting th goals based on KPIs. The role holder will focus onoptimizing I Pan Africa’s efficiencies in data processi processes and systems, and on develop the company’s ability to drive people, pr and Information Technology improveme aimed at maintaining the highest levels data quality and service to clients. Key responsibilities include: Management of the Pan Africa Hub DP resources to ensure the they provide cli with consistently high quality services Acts as a coach to Team Heads, providi them with guidance and advice on mana their teams Ensures teams are suitably resourced, skilled staff, and with appropriate traini Provides support and guidance to team in capacity and resource planning Developing and maintaining necessary strategies aimed at enhancing the data management processes with particular f on the quantitative data capture Optimizing the application of the data processing software via expert capabilit enabling more timely and cost effective development of ‘user friendly’ survey ba market research to clients. Continuous review of the current proce within in DP – scripting, questionnaire d data processing, setting standards acro various points and ensuring such are enforced. Continually recommend, data handling a data analysis systems to ensure compet differentiation Utilize internal data collected to analyse trends, with the aim of improving curren processes Participate in job set-up meetings to en clear understanding of data processing requirements Advice Project Managers on estimated ti required to complete a job and other ke timings. Provide questionnaire design consultanc the business units in respect of complex assignments. Keep abreast of current trends within m research systems and technology, in or maintain personal skills/knowledge base deliver leading edge Monitors and efficiently administrates th working time of the direct reports to en efficiency in the daily activities performe the team and a balanced workload. Monthly management reporting and anal of the activity for the department Coach and mentor Data Processing Exe on understanding and interpreting the technical aspects related SPSS / Quantu application software. Manage error-free creation of data for projects within specified time, resource budget restrictions. Recognize opportunities and initiate improvements on workflow and process Financial Management Continuously review and update the sta capabilities within the DP and liaise with the Operations Manager and the HR Manag ensure that capacity is kept at an optim level while ensuring efficiency The person: To be successful in this role you will hav First Degree in Mathematics or Statistics relevant business related field. A postgraduate qualification in data management will be an added advantag A minimum of 7 years experience in a f service market research company with a least 5 years experience as a Data Proc Manager; Operations experience or closely related experience Experience with outsourced Data Proces Services Comprehensive knowledge of the Data Processing operation, and related fields ( Coding Validation, Spec writing) Good knowledge of general programmin techniques (i.e. VB Script & ASCII) Previous experience in managing people least 3-5 years. Operations experience closely related experience, two of which have been at the level of Computer Operations Knows different types of studies such a Product test, Pack test, Pricing, CSM, B Vision etc Good knowledge of general research pri and practices as they apply to the appli and use of electronic data processing equipment Team management and work scheduling experience Sound trouble-shooting skills Advanced Data Analysis skills with profic in SPSS, Quanvert and Quantum Proficiency in creating new processes b being able to evaluate existing, and developing new solutions as needed Outstanding Communication and Leader skills Strong People Development skills The ability to develop partnerships with others in the industry The ability to work cross-functionally an across geographies within Ipsos A proven record of developing relations with clients Able to work under pressure and meet aggressive deadlines Ability to write reports, routine business correspondence and prepare presentati including the ability to prepare business charts and graphs Commitment to exceptional client servic High integrity If you are this person, then you are rig us and we are right for you!Please emai and covering letter explaining why you interested in this position to careers- ke@ipsos.com. Applications will not be considered if cov letter is not attached. Include “Senior Manager, Data Processi the cover letter and email subject head Only short-listed candidates will be cont Deadline for application: Friday, 22nd A 2013, 5pm

No comments:

Post a Comment