Network Engineer at Volt Services

Location: Sacramento, CA

Description:
In this role, you will provide assistance and troubleshooting on data communications, network design and project management. You will monitor, update, store, and secure our client's program data. Overall duties are to assist in network integration, provide consultation and act as a technical resource for the client's administration and management staff. The client facility incorporates a client-server based system with over 200 desktops and users and six to eight servers. The major workstation applications include, but are not limited to: Microsoft Office 2000 and 2003 Professional, SAS, SPSS, SUDAAN, MapInfo, ArcView and Microsoft Project. The server's Operating Systems are NT4.0, Windows 2000 Server and Windows 2003 Server. Veritas is the software application used to back up data on the machines. The current desktop platforms are Windows 2000 and Windows XP. The current server platforms are NT4.0 Server, Windows 2000 Server, and Windows 2003 Server. The back end structure for supported database applications is Microsoft SQL Server 2000 with possible plans to upgrade to Microsoft SQL Server 2005 during the contract period. You will act as consultant and technical resource for administrators and management staff on: Business improvement issues.

• Business improvement issues.
• Business process re-engineering.
• Hardware and software technology for office efficacy and automation.
• Hardware and Software specifications.
• Technical or functional/business guidance and implementation support.
• E-business process reengineering (productive and efficient working environment as well as overseeing the web intranet development).
• LAN/WAN and Server technologies. You will provide assistance on complex LAN/WAN system administration and maintenance including:
• Technical support for LAN/WAN administrators.
• "Group" shared drive design/configuration and implementation / organizational Unit Restructure / login scripts.
• Technical specifications on hardware and software.
• New server configuration.
• Server based security permission configuration and maintenance.
• Data backup application implementation and troubleshooting.
• Operational Recovery Plan Origin and implementation (as needed).
• System Management Server (SMS) advertisement research and design.
• Design/Setup of an enterprise electronic document management system. Provide administrators with support on high level hardware and software issues including:
• Printer, server and desktop updates.
• Server and workstation replacement oversight.
• Server, desktop, printer, and copier troubleshooting.
• Hardware setup and installation.
• Specialized software configuration, administration and support (i.e. SAS, SPSS, DBMS, SUDAAN, MapInfo, Mapmarker (this is correct), and ArcView, etc.).
• Symantec AntiVirus (SAV) administration.
• Support/Administration of LISTSERV Application.
• Administer, maintain and troubleshoot a SAS 9.1.3 Server.
• Design, setup and configure future version(s) of SAS server as required.
• Migrate SAS programs and data to future SAS server(s) as required using custom SAS programming where applicable.
• Provide SAS architecture and programming advice to staff upon request.
• Optimize SAS server performance. Act as Project Manager on:
• Conversion of hardcopies into electronic files.
• Web/Office Automation consulting.
• System/application conversion, upgrade and consulting for Windows, SAS, SQL, etc.
• Maintaining and updating a centralized IT folder (e.g. drivers, procedures, etc.).
• Provide system design, engineering and IT oversight functions for the program.
• Design/Setup an enterprise electronic document management system.

Requirements:

• Bachelor's Degree in Computer Science plus two years or more of equivalent professional experience as a Network Administrator, Project Manager and Consultant/or six years professional experience as a Network Administrator, Project Manager and Consultant. Practical experience will include: Five years of applicable experience including: Specialized knowledge of business issues related to implementing systems.
• Experience in business best practices.
• Experience in management of complex business change.
• Development, implementation, and administration of medium to large sized network systems using client/server technology (e. g. Windows NT Server, Windows 2K Server, Windows 2003 Server).
• Administration of a Local Area Network system to include File and Print and Application services (specifically: SAS and SQL servers).
• Training or certification supporting this experience. Three years of the experience must include: Managing teams in a client/server environment.

Type:
CONTRACT

Duration:
365+ Days

Payrate:
DOE

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Data & Reporting Analyst at imeem

Location: San Francisco, CA
The Data & Reporting analyst will be responsible for the analysis of data to help drive business operations and generate partner reports. This position will work across functional groups (e.g. business development, finance, sales, and engineering). Ideal candidate is someone that is passionate for resolving data conflicts and errors.

This job requires someone who is highly detailed oriented, organized, analytical, and accountable with the ability to work in a very fast and unstructured environment wearing multiple hats.

KEY RESPONSIBILITIES:

• Perform complex data analysis in support of ad-hoc and standing customer requests
• Investigate data inconsistencies, content exceptions, and quality issues
• Define business rules, process, and methodologies for analyzing and ensuring data quality as well as operational readiness
• Develop insights from a variety of data sources providing accurate interpretation of data to various business units
• Monitors and verify for correctness all aspects of data whether received from external sources or derived internally
  

EXPERIENCE/SKILLS:

• BS/BA preferred. Undergraduate or graduate coursework in statistics, data analysis, research methods
• 2+ years experience in data analysis, decision support, including demonstrated proficiency with analytical software (SAS, SPSS, Matlab, etc.)
• Experience in analysis and presentation of data and must have a fundamental understanding of data warehousing concepts (e.g table schemas, etc.)
• Ability to create SQL queries as well as experience using advanced Excel features
• Effective oral and written communication skills; exemplary problem-solving and logic skills

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Director, Analytics at Amazon

Amazon.com operates in a virtual, global eCommerce environment without boundaries, and operates a diverse set of businesses in seven countries, including Retail, third party marketplaces, eCommerce platforms, web services for developers. The Director of Analytics in Amazon India will build and lead a team of sophisticated statisticians and machine learning experts who will make a dramatic impact on Amazon through analytically driven decisions on high volume transaction data.

The idealized candidate is most likely to be a hybrid: part visionary/part leader/part builder/part operator. The right person has a unique blend of business judgment, strong product and program management experience, technical expertise and comfort with developing complex yet maintainable large-scale analytic and web-services, some sales and marketing experience in the technology industry, and strong hiring abilities. This needs to be a candidate that is clearly passionate about the large opportunity that the internet and web services present. This presents a significant intellectual and operational challenge with great free cash flow impact. As such, it demands a leader that is extremely attracted to the opportunity and is never satisfied with the results. The ideal candidate is passionate about delivery and achieving the right results, winning, being the developer's advocate, and building a vibrant, robust developer community.

Qualified candidates must be highly analytical, able to assess customer needs via primary and secondary research, adept at stepping back and thinking holistically, skilled at working cross-functionally across geographies and influencing others regardless of where they report in the org chart, experienced at leading teams of super-stars, and a strong oral and written communicator.

Initially, a primary responsibility of the team will be on risk management on the Amazon.com transaction and payment platforms. Responsibilities includes modeling payment risk and fraud, third party merchant risk and credit, assessment of customer risk and trustworthiness, and combating novel types of risk unique to the e-Commerce environment. Detailed responsibilities are:
1) Managing and building risk scoring systems: The Director Analysis will lead the design, development and deployment of state-of-the-art, data-driven predictive models using the latest technologies in statistical modeling, data mining, and machine learning.

Responsibilities include:

• Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends
• Design, development and evaluation of highly innovative models for risk management,
• Statistically evaluating and optimizing business rules and policies,
• Working closely with software engineering teams to drive real-time implementations of the models and operational business rules,
• Overseeing implementation of new risk controls, assessing their results, and assisting in the fine-tuning as necessary
• Working closely with operations staff to optimize fraud detection and risk management operations,
• Establishing scalable, efficient, repeatable processes for large scale data analyses, model development, model validation and model implementation, and
• Collaborating with developers to identify and implement internal operational process improvements,
• Developing metrics and model reports for communication with business leaders,
• Tracking general business activity and providing clear, compelling management reporting on a regular basis
• Driving significant improvements in free cash flow through automation.

2) Building analytic systems for topline growth: The Director of Analysis will lead fundamental innovations in analytics for eCommerce to drive topline growth through customer acquisition and promotion activities. Developing a deep understanding of internet consumer-oriented businesses and developing uniquely differentiating analytic approaches suited to web-based businesses will be expected. Simple examples of such activities may include targeting co-branded credit cards using scoring models based on Amazon data, promoting adoption of gift certificates and stored value accounts, acquisition, retention and targeting for subscriptions of various types worldwide.

3) Managing and growing a sophisticated team of analysts: The Director of Analysis will be in charge of a growing a high performance team of analysts in India. He/She will be responsible for managing this team to peak efficiency, enriching the team with exceptional new talent, setting ambitious goals, and driving to operational excellence.

4) Define and meet/exceed service level agreements: The Director of Analysis is expected to define global service level agreements and decision quality metrics with his internal customers, and perform to meet/exceed their requirements. He/She will be expected to be true "owners" of analytics services, be accountable for decision quality and customer experience, and relentlessly drive to excellence.

The ideal candidate for this position would be a highly talented technical leader with 7+ years of exceptional hands-on experience in risk management in financial services, eCommerce, or an enterprise software company building and providing risk management services/software. He/she should have five years of experience managing teams of analysts. A PhD degree in a quantitative business field, operations research, computers science, statistics or related engineering discipline is required. Ability to mentor trained analysts with SAS and SQL experience, plus a good familiarity with BI tools and techniques is desired. The candidate should have good communication skills and good management and leadership experience in an applied setting. He/She should be strongly motivated by entrepreneurial projects and enjoy the opportunity to collaboratively work with a diverse and innovative team of engineers, analysts, operations personnel and business management to achieve superior bottomline results.

Link :

Senior Risk Analyst at Amazon

In this role you will develop next generation risk minimization and fraud detection algorithms using Statistical and Operation Research principles. You will have strong analytical mindset and relevant industrial experience. You will demonstrate terrific attention to detail. You will have the ability to process large data stets spanning multiple geographies and multiple data sources. You will have the clear business intuition to connect the data trends to business realities. You will have the ability to explain technical concepts in a simple and sound business like manner. This role is considered as a high impact role to bottom-line as Programmer Analyst-Risk-analytics at Amazon.com.

Responsibilities :

• Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques
• Understand the business reality behind large sets of data and develop meaningful models
• Connect with business problems related to buyer and seller risks and fraud management and develop cutting edge algorithms for risk mitigation
• Work closely with developers in clearly giving them the requirements towards deploying the algorithms and models in real time detection engines
• Perform ad hoc analysis time to time to understand new trends in risk modeling and fraud patterns
• Innovate by adapting new modeling techniques and procedures
• Take end to end ownership in thoroughly understanding the business problems and translating that into algorithms

Qualifications :

• MS required, PhD desired in either Industrial Engineering or Operations Research or Computer Science.
• Over 5 years of relevant risk management/analytics, financial modeling, credit & reporting experience, preferably in a commercial lending business
• Proven track record in understanding business problems and developing effective algorithms and solutions
• Knowledge of at least one major statistical data analysis systems like SAS or SPSS
• Ability to process large data sets from multiple data sources
• Prior experience in developing models for credit review, internal audit, and/or commercial underwriting is strongly preferred
• Experience in Predictive Analytical modeling such as forecasting using time series or any other such techniques is preferred
• Strong analytical mindset with willingness to Innovate
• Ability to work closely with highly qualified professional as a team
• Familiarity in working with SQL/C++ is preferred
• Comfortable in working with multiple operating systems
• Display entrepreneurial spirit in working
• Ability to work efficiently and effectively in fast paced environment with tight deadlines
• Willingness to Travel

Link :

Risk Analyst at Amazon

In this role you will develop next generation risk minimization and fraud detection algorithms using Statistical and Operation Research principles. You will have strong analytical mindset and relevant industrial experience. You will demonstrate terrific attention to detail. You will have the ability to process large data stets spanning multiple geographies and multiple data sources. You will have the clear business intuition to connect the data trends to business realities. You will have the ability to explain technical concepts in a simple and sound business like manner. This role is considered as a high impact role to bottom-line as Programmer Analyst-Risk-analytics at Amazon.com.

Responsibilities :

• Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques
• Understand the business reality behind large sets of data and develop meaningful models
• Connect with business problems related to buyer and seller risks and fraud management and develop cutting edge algorithms for risk mitigation
• Work closely with developers in clearly giving them the requirements towards deploying the algorithms and models in real time detection engines
• Perform ad hoc analysis time to time to understand new trends in risk modeling and fraud patterns
• Innovate by adapting new modeling techniques and procedures
• Take end to end ownership in thoroughly understanding the business problems and translating that into algorithms

Qualifications :

• MS required, PhD desired in either Industrial Engineering or Operations Research or Computer Science
• Over 3 years of relevant risk management/analytics, financial modeling, credit & reporting experience, preferably in a commercial lending business
• Proven track record in understanding business problems and developing effective algorithms and solutions
• Knowledge of at least one major statistical data analysis systems like SAS or SPSS
• Ability to process large data sets from multiple data sources
• Prior experience in developing models for credit review, internal audit, and/or commercial underwriting is strongly preferred
• Experience in Predictive Analytical modeling such as forecasting using time series or any other such techniques is preferred
• Strong analytical mindset with willingness to Innovate
• Ability to work closely with highly qualified professional as a team
• Familiarity in working with SQL/C++ is preferred
• Comfortable in working with multiple operating systems
• Display entrepreneurial spirit in working
• Ability to work efficiently and effectively in fast paced environment with tight deadlines
• Willingness to Travel

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Data Analyst at Facebook

Facebook is seeking a Data Analyst with strong communication skills and a mild obsession with extracting useful information from data. The ideal candidate will read Matthew Hurst, the Juice Analytics blog, paidContent.org, information aesthetics, and Many-2-Many; that is, they will be interested in the business and product of an online social network while having a passion for data analysis and visualization. The position is full-time and based in our main office in downtown Palo Alto, CA. This position will report to the Senior Manager of Data Insight.

Location: Palo Alto, CA
Responsibilities:

• Work closely with business users and product managers to determine how the data we collect could help solve their problems
• Apply your expertise in statistical inference, data mining, and the presentation of data to help inform and support our business and product decisions
• Work with the data infrastructure team to translate the business requirements into technical specifications
• Possess a thorough understanding of our data collection methods
• Develop reports and monitor the validity of the data being reported

Requirements:

• Data junkie
• The ability to communicate the results of your analyses in a clear and effective manner
• Crazy Excel skills or experience with data reporting and analysis tools such as Spotfire, Business Objects, Cognos, Tableau, et al
• Experience with R, Matlab, SAS, SPSS, or a similar tool for data analysis
• Understanding of the methodologies of the major internet audience measurement firms: comScore Media Metrix, Nielsen//NetRatings, Hitwise, Quantcast, Alexa, Compete
• Basic knowledge of relational databases and SQL
• Strong willingness to contribute to a small team

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Database Programming at Cmed Research

Experienced Database Programmer
Geographical Location Horsham, West Sussex, UK
Contact Information Sarah Thompson, sthompson@cmedresearch.com, 01403 755050
Applications Before 30 September 2007
Remuneration Competitive
Reference 2007-01-11d

About:

We are seeking ambitious individuals to join our growing Database Programming group based in Horsham, West Sussex, to support "paper based" and "electronic data capture" clinical trials.

Principal Duties and Responsibilities:

• Maintaining an up-to-date knowledge of new functionality specific to database configuration of ThirdPhase as new versions are developed; creating eCRF pages according to annotated CRF and database specifications; creating visit schedules according to protocol and complete blank CRF; writing validation checks according to validation check specifications; testing each validation check; and writing specification requirements for external data transfer (e.g. central laboratories).
• Candidate Profile
• Experienced individual, educated to degree level. Ideally a minimum of 2 years experience working within a clinical or data management environment in a pharmaceutical company or CRO, and a sound knowledge of the clinical trial process. Previous experience of eDC and clinical trial software, web design, XML, HTML or SAS is desirable whilst not essential. A can do attitude and enthusiastic personality is also essential.

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