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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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

Link :

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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Tech Software Dev Eng at Yahoo

Location : Santa Clara, CA
Description : The Internet is a big, busy place, and we at Yahoo! are proud to stand out in the crowd. As the world's number one Internet brand, servicing over a half billion people, we're determined to maintain our commitment to delivering news, entertainment, information and fun... each and every day.

In order to maintain our position as one of the world's most trafficked Internet destinations, we're always on the lookout for people with big ideas and big talent to help us provide our visitors with the innovative products and services they've come to expect from Yahoo!. We're looking for people like you.

How Big Can You Think?

As a member of Yahoo!'s Product Intelligence Engineering team, you will be responsible for providing research and comprehensive data analysis to a number of parties within our business unit, with a particular focus on the marketing team. You will play a critical role in driving marketing, business, product, and engineering strategies by providing insights obtained through analysis of online results from various Yahoo data sources, and from test results generated from a sample of Yahoo's users. Your responsibilities will include identifying key metrics, validating the effectiveness of metrics, working with third parties to gather competitive insights, managing the testing process, analyzing results, and writing regular reports to summarize analyses and make objective recommendations.

Basic Qualifications
The candidate needs to demonstrate the ability to execute successfully in all aspects of engagements with different members of our business unit, including analysis methodology development, analysis execution, strategic recommendations development, and clear verbal & written presentation of findings. Excellent interpersonal and communication skills are required.

The candidate needs to have strong strategic problem solving skills, with the ability to help our product/marketing/engineering/business groups to understand and prioritize opportunities.

Technical skills such as SPSS, SQL, UNIX shell, Perl, Regular Expressions, Microsoft Access, Excel VBA Macros, Microstrategy, and HTML are a strong plus.


Desired Qualifications
The ideal candidate will have a bachelors degree in CS/EE with a minimum of 2 years experience as a data analyst, or a bachelors degrees in CS/EE with a Masters degree in Operations Research and System Modeling (e.g. Management Science & Engineering, or Business Management with emphasis on analytics), Applied Mathematics or Physics. Analysis skills including statistical analysis, quantitative analysis and stats testing are required.

Yahoo! Inc. is an equal opportunity employer. For more information or to search all of our openings, please visit http://careers.yahoo.com.

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