Job Opportunities

Lancaster Centre for Forecasting

Lancaster University Management School are seeking a Lecturer(Assistant Professor)/ Senior Lecturer (Associate Professor) in Management Science: Forecasting

Salary range: £38K to £65 (approx including pension contribution)

The Forecasting, Marketing and Data Mining group seeks a management scientist or statistician with a substantial research interest in any aspect of forecasting and predictive modelling including econometric methods, time series, market modelling and forecast evaluation. The successful candidate will contribute to the work of the department, educating students in all aspects of forecasting and supervising masters and PhD projects with public or corporate businesses and engaging in corporate research projects. He/she will also be expected to contribute to the range of activities carried out by Lancaster Centre for Forecasting (http://www.lums.lancs.ac.uk/Research/Centres/forecasting) which hosts the largest research unit dedicated to Forecasting in Europe.

Company: Qualcomm
Job Title: Intern - Sales Forecast Analyst 
Location: California - San Diego 

Responsibilities
Conduct statistical forecasting studies for complete family of QCT semiconductor parts, in support of Sales Forecast function. Analyze variation in forecast accuracy and ship estimate accuracy along various dimensions of our products, such as customer, geography, technology, functionality, method of inventory management, and planning horizon.  For a detailed job description, click here.

Application Instructions
Please create a profile for yourself at My Profile on our Careers page and then do a Job Search  for Requisition #N1877587 Intern - Sales Forecast Analyst.

Posted: 02/04/2010

Forecasting, Research and Analysis Administrator
Location: Salem, OR

The Oregon Department of Human Services (DHS)/ Budget, Planning and Analysis (BPA) is pleased to announce a unique employment opportunity. We are conducting a national search for a candidate with exceptional qualifications who will lead a team of professionals who are responsible for caseload forecasting for DHS client-based services.

The Forecasting, Research and Analysis Administrator provides direction, leadership and management to staff who are responsible for DHS caseload forecasts and cross-division analyses of client interrelationships and services for policy makers and legislators.

• Review and give approval of forecasts and related publications.
• Manage staff in the monthly monitoring of reports on caseload forecasts and identifying reasons for variances.
• Respond to requests for information from the Legislative Fiscal Office, the Governor's budget analysts, and legislators.
• Represent the department and BPA on caseload issues.
• Provide leadership to staff involved with the DHS Integrated Client Services.
• Recruit staff, monitor performance, conduct performance appraisals and respond to and resolve employee issues.
• Promote an organizational culture that calls for high standards of performance, values diversity, and aligns employees with the Department*s mission and values.

Minimum Qualifications:

• Development of program rules and policies,
• Long- and short-range goals and plans,
• Program evaluation, and
• Budget preparation/management.

Please view the complete announcement for application instructions, desired competencies, and other information regarding this position:
www.oregon.gov/DHS/jobs/LEHS9761.shtml

Posted 20/01/2010

Research Statistician Developer, 09001743
Location:  Cary, NC

As a member of the research and development team you will design, develop, and support forecasting and estimation tools and processes for complex and large-scale revenue management and price optimization problems in the hospitality industry.  Duties include utilizing existing SAS forecasting, estimation, and data manipulation tools to solve these complex problems; designing and developing new processes, heuristics, and algorithms; collaboration with other members of the development, testing, and product management teams with an understanding of the business requirements; keeping abreast of analytical developments and trends in this area; and performing other duties as assigned.

Essential

• Ph.D. in Econometrics, Economics, Statistics, Biostatistics, Applied Mathematics, or a related quantitative field
• Experience in applied econometric and time series modeling methodology and forecast process development
• Experience in software development

Additional

• Excellent teamwork skills
• Excellent written, verbal, and interpersonal communications skills
• Excellent ability to identify and proactively solve problems

Preferences

• Significant experience with price optimization and revenue management concepts
• Minimum two years of experience in commercial software development
• Extensive knowledge of the SAS System, together with excellent SAS programming skills
• Experience and knowledge with SAS forecasting and estimation procedures, especially with products SAS/ETS, SAS/STAT, SAS/HPF
• Experience working in a software team environment and with remote development teams

Additional Information:
The level of this position will be determined based on the applicant's education, skills and experience.
Resumes may be considered in the order they are received.
SAS employees performing certain job functions may require access to technology or software subject to export or import regulations.  To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment.  SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

If you are interested, please visit our website at www.sas.com/jobs/USjobs/#

Posted 18/11/2009

Domino’s Pizza
Business Intelligence Analyst (Job Number: O-Data Services)
Potential applicants should email their resume and cover letter to Scott.Sokoloff@dominos.com as well as applying online at Dominos.com.

Description

The Business Intelligence Analyst will be responsible for advanced data analysis and research and will include the following responsibilities:

• Analyze internal and external data in support of the marketing, operations, finance, distribution, store development, and e-commerce functions at Domino's
• Develop and maintain predictive models for the various functions
• Design, implement, and evaluate statistical tests in support of promotion and pricing activities at Domino's
• Extract, compress, sample, and transform large data sets in support of the analysis activities using SQL, Perl, and other scripting languages
• Present and explain analysis results to functional and senior business leaders

Qualifications

• Experience with a variety of data analysis disciplines/techniques including: data modeling, design of experiments, data segmentation methods, cluster analysis, multivariate regression, time series analysis, linear programming, simulation, optimization methods, and forecasting
• Expertise with SAS, SPSS or a comparable statistical software package
• Proficient with MS Excel and VBA
• Proficient with manipulating large data sets in relational databases using SQL, stored procedures, and other query tools
• Proficient in scripting languages for both Unix and Windows environments
• Excellent presentation skills and professional demeanor
• Ability to work independently

• Demonstrated ability to work with end-users from a variety of disciplines
• Good business aptitude and attention to detail
• Bachelor's degree in Statistics, Operations Research, Applied Mathematics or a related field, Masters preferred

Posted 03/11/2009

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