Category Archives: Others

Jobs Available: Manager, Specialist (2 positions)

Employer: Bain & Company Southeast Asia Inc.
Bain & Company is one of the world’s leading global business consulting firms, serving clients across six continents. It was founded in 1973 on the principle that consultants must measure their success in terms of their clients’ financial results. Bain’s clients have outperformed the stock market 4 to 1. With offices in all major cities, Bain has worked with over 4,150 major multinational and other corporations from every economic sector, in every region of the world.

A career at Bain & Company will provide the opportunity to learn in a collaborative teaming environment, drive impact to support our ‘Results’ mission statement. The firm has a passionate and rich culture that offers an unparallel business experience that can carry throughout a career. We hire dynamic individuals that are dedicated to achieving both personal and professional goals. To learn more about the firm, please visit www.bain.com.

Career Opportunity & Application Instructions
• The Customer Insights Group is a cohesive team providing support to consultants working for high profile clients throughout the world.
• The groups’ expertise is highly leveraged through focused efforts on hundred of projects across a broad spectrum of applications and industries. Results and recommendations lead to strategic initiatives with huge impact on organization direction and success.

Position: Manager, Customer Insights
Bain & Company, Inc. is an international strategic management consulting firm operating in more than 40 offices and 21 countries. The Customer Insights Group supports the primary research and statistical analysis needs of the firm. The Manager, Customer Insights Group (Asia-Pacific, Americas, Europe) works with the Director, CIG to implement the strategic direction and management of the group.

We are expanding our Customer Insights team into Asia-Pacific. The Asia-Pacific Manager will work with the CIG Director to build the team’s capabilities in Asia.

Responsibilities:

Management
• Work with Director to ensure service delivery and resources meet Bain & Company’s goals and strategic initiatives in their region
• Hire and integrate additional team members in region
• Develop and deliver performance reviews to junior CIG members in their region
• Provide coaching and professional development to CIG team members
• Work with CIG Director to prioritize projects and use of resources

Client Support
• Provide statistical and analytical consulting: Work with case teams to determine the optimal methods to utilize data to provide practical, value-added analysis to the client and case teams. The Customer Insights Manager must be able to recommend and explain analytical techniques appropriate for targeting and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and territory optimization.
• Participate in client development calls/meetings with Partners on an as needed basis
• Conduct advanced statistical analyses when needed: Explain and perform a variety of statistical and data mining techniques including discrete choice/conjoint, latent class analysis, structural equation modeling, maximum differential scaling, multivariate and logistic regressions, decision trees (e.g. CHAID/CART), factor and correspondence/MDS analysis
• Keep abreast of new and current primary research and statistical techniques.
• Work closely with Practice Areas in development of Bain products and services

Training
• Provide training, documentation and other assistance to Bain’s consulting staff to support and expand the use of market research and modeling tools
• Develop Partner level materials to educate them on tools and methodologies
• With CIG team members, develop customer insights related consultant training materials aimed at making consultants knowledgeable about the use of customer insights tools and methodologies

Qualifications
• 7+ years of experience with market research and/or statistical analysis in a business, market research or social science environment
• Experience explaining and performing a variety of statistical and data mining techniques including: latent class segmentations, discrete choice/conjoint, multivariate and logistic regressions, decision trees, and factor and correspondence/MDS analysis.
• Strong analytical, mathematical, interpersonal and communication skills.
• Must thrive in a fast paced environment and be able to work independently
• Must have strong English speaking skills
• Some travel required
• Extensive experience with SPSS, including its syntax language.

Position: Sr. Customer Insights Specialist

Job Description:
The Customer Insights Group is a team of experts in primary market research and advanced analytics. The Senior Customer Insights Specialist works with Bain’s consulting teams to provide high quality results for our clients.The candidate will also be able to advance the CIG Group and Bain’s analytic and research capabilities and provide training to the consulting staff as needed.

This position will be located in Singapore

Responsibilities:
• Provide analytic consulting and primary market research expertise to Bain case teams and clients worldwide. The Senior Customer Insights Specialist will work with case teams to assess data needs, design primary research projects, and propose analytical solutions to provide practical, value-added answers to the client and case teams.
• Recommend and explain research methods and analytical techniques appropriate for targeting and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and territory optimization.
• Conduct advanced statistical analyses: Explain and perform a variety of statistical and data mining techniques including discrete choice/conjoint analysis, latent class and other clustering techniques, maximum difference scaling, multivariate and logistic regressions, decision trees (e.g. CHAID/CART), and factor and correspondence/MDS analysis.
• Design sample specifications, and develop surveys that will deliver actionable information.
• Keep abreast of new and current statistical and market research techniques.
• Develop relationships with external research vendors and interact with as needed.
• Provide training, documentation and other assistance to Bain’s consulting staff to support and expand the use of market research and modeling tools.

Qualifications:
• 5-10 years of experience with market research and/or statistical analysis in a business, market research or social science environment without a Masters Degree, or 4+ years experience with a Masters Degree in Market Research or Ph.D. in statistics or economics.
• Extensive experience with SPSS, including its syntax language.
• Experience explaining and performing a variety of statistical and data mining techniques including: latent class segmentations, discrete choice/conjoint, multivariate and logistic regressions, decision trees, and factor and correspondence/MDS analysis.
• Strong analytical, mathematical, interpersonal and communication skills.
• The ideal candidate may also have other complementary skill sets including: familiarity with SQL, R, or other advanced data or statistical tools, marketing mix or analysis of scanner data; or even qualitative research methods
• Must thrive in a fast paced environment and be able to work independently
• Some travel and late evening calls required

Qualified candidates should send a cover letter and resume to ilker.carikcioglu@bain.com

Faculty@Conference – The Second Knowledge Cities Summit (5 & 6 November 2009)

Dr Ravi Sharma was in Shenzhen, China, recently for The Second Knowledge Cities Summit.  He presented his paper on “Learning Communities in a Flat World: An analysis of the People’s Republic of China“, co-written with Wang Sheng-Chieh, Chen Yufang and Sammie Chen Qing from the MSc Information Studies programme.

Conference Backdrop

At the Conference

In this paper, they presented a framework for developing a learning and benchmarking modality of analysis.  The 4-pillar framework (Sharma et al 2008) they used suggests that infrastructure, governance, culture and talent operationalise a learning community with some 10 key dimensions which help discern success or failure.  Using public and external sources of validated data to obtain proxy indicators for the 10 dimensions, they studied the development of 7 communities across China which span the development spectrum.  The possible emergence of China as an advanced knowledge economy poses some very interesting development opportunities for other nations.  The paper examined the central research question of whether (and how) it is possible to “flatten” the divides between advanced and less developed regions of a vast and populous country using knowledge policy as a tool.

In particular, they considered whether developing learning communities is an effective means of bridging knowledge gaps and the differences in growth and development.  This is founded on the notion of a flat world – one which can be transformed into a level playing field.

Shenzhen Skyline

Shenzhen Skyline

With Karl Wiig at the banquet

With Karl Wiig at the banquet

iP 143

Co-authors. From left: Chen Yufang, Wang Sheng-Chieh, Sammie Chen Qing

New course — K6290 Knowledge Management Implementation

This course is being developed by LTC Karuna Ramanathan, a graduate of our KM programme and currently Deputy Head of the Singapore Armed Forces Center for Leadership Development. He tells us how the idea for this course came about:

This course was specially moulded out of 8 years of experience in implementing KM projects in a large organisation. These projects range from eLearning, Content Management, Storytelling, to narrative database building. KM projects are rather special, because knowledge can be both individual as well as collective. These projects have unique challenges in implementation, which moved me to design this course. Mostly taking a practitioner’s view, you will complete the course armed with a practitioner’s toolkit which will help you in future implementation. Do not be afraid if you have not been exposed to too much theory – the ideas and issues are quite basic, and we will spend time dwelling on these so that you are able to have a good grasp of the challenges that await us as KM practitioners.