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Sr. QA Engineer - San Diego, CA. Nov. 6, 2009
Covario,
Inc. is a leading provider of web-based software as a service (SaaS)
Interactive Marketing Analytics solution that provides visibility into
true costs and performance to drive smarter decisions and profitability
in the areas of paid search advertising, organic search engine
optimization, qualitative/quantitative ROI analysis and online
cooperative advertising management.
Position Overview:
The Senior Quality Assurance Engineer will join a dynamic and talented
Quality Assurance team to support Covario’s core Interactive
Marketing Analytics applications. This position will be an integral
part of the engineering team and requires someone who can focus on both
manual and automated testing of client/server with strong emphasis on
browser-based applications and proven ability setting up test harness,
automation framework, developing and managing automated test scripts
using QTP (HP QuickTest Professional). Responsible for preparing and
executing risk based test strategies within an agile environment and
contributing to the continuous improvement of the QA process.
Responsibilities:
• Participate in the full software development lifecycle (requirements derivation through delivery).
• Develop test plan and test strategy, manual and automated test
cases meeting functional requirements, user stories and user acceptance
criteria.
• Perform hands on manual and automated testing (both “black” and “grey” box).
• Lead the test automation effort. Create automated test suite
using HP QTP, generate test scripts, tools and test harness to support
QA automation.
• Execute application, usability, functional, regression and
performance testing for business applications in a client/server
environment.
• Evaluate testing results and enter problem reports in a problem tracking system.
• Communicate product readiness, level of quality, and results to Quality Assurance Director and the project team.
• Identify QA and testing issues, and generate solutions for process improvement.
• Participate in release planing and product roll out.
• Provide input and guidance to less experienced QA engineers.
Minimum Qualifications:
• Strong experience in software Quality Assurance test plan and
test case generation. Excellent testing skills and experience with
commercial software development processes, SaaS or ASP (Application
Service Provider) for browser-based applications, client/server
application and database driven applications on Linux and Windows
environments.
• Minimum of 5 years experience in software quality assurance
industry with strong QA process knowledge and proven test automation
skill.
• Strong knowledge of automated testing tools such as QuickTest
Professional, Rational Robot, XDE Tester, LoadRunner or any other
automated testing tool.
• Technical skills using SQL and RDBMS (MYSQL, MS SQL Server, or Oracle) technology.
• Understanding of technical systems, including web technologies
(server and browser), relational databases and application servers.
• Good communication skill and a desire to function in a team based environment.
• Ability to effectively and efficiently manage multiple tasks.
• Ability to work in a fast paced dynamic environment.
• BS degree in Computer Science or related fields or equivalent experience.
Preferred Experience:
• Experience in developing and implementing tools, and scripting
in Java, Perl, Python, Ruby, SQL, shell or any other programming
language.
• Implemented and managed test automation using QTP or
alternatively open source test frameworks such as watir, fit, fitnesse,
or selenium.
• Experience using Servlet/JSP, Adobe Flex, MySQL, Tomcat, Apache or Linux
• Exposure to SCRUM Agile development methodologies.
• Formal test methodologies such as risk analysis, test coverage assessment, and QA metrics.
To Apply, Please Send Resume and Cover Letter to: nstewart@covario.com
Quality Engineer, Los Angeles. Nov. 6, 2009
Quality Engineer for an Electronics Manufacturing Service (EMS) provider based in Los Angeles
Currently we are seeking candidates for our “Quality Engineering” position.
Summary
Under the direction of the Director of Operational Excellence, the
Quality Engineer has multiple responsibilities to ensure that the
manufacturing process produces product that meets or exceeds customer
expectations. To assist with the implementation of a comprehensive
quality management system, and to support quality objectives of the
company the ideal candidate is a fast learner who can handle multiple
projects and work well as part of a team. As a Lean Leader, the
successful candidate will have experience participating in or leading
Kaizen/Continuous Improvement events that resulted in measurable
improvement in Quality performance.
Essential Duties and Responsibilities
• Confer with Director of Operational Excellence on production and
personnel issues. Also assist with preparation of various quality
reports.
• Participate on/with continuous improvement teams.
• Randomly examine production documents (router/Traveler) to
ensure that all assembly, inspecting, and testing steps were performed
according to Qual-Pro’s practices.
• Provide Supplier Quality Engineering support to the Procurement
function by auditing Supplier facilities and monitoring supplier
performance data
• Follow-up on supplier corrective actions submitted.
• Monitor and analyze product non-compliance on assemblies to reduce defects.
• Monitor ESD compliance through production.
• Analyze customer returns to determine cause and prevention.
• Perform follow-up on corrective actions to determine effective implementation.
• Perform periodic audits of production processes against procedures.
• Monitor and support receiving inspection activities.
Qualifications
• Experience working in ISO 9001 or AS9100-certified electronics manufacturing environment required.
• Auditing experience against the ISO 9001 and AS9100 requirements.
• Knowledge of DFAR regulations.
• ISO13485 experience is a plus.
• 2-5 years related experience and training in Six Sigma or
equivalent statistical analysis techniques, lean principles and
team/project management. Green Belt or Black Belt certification is a
plus
• Must have strong computer skills with proficiency in Microsoft Office
• Knowledge of Process Analysis: process measurements, process
flow diagrams, I.O. diagrams, cause & effect diagrams, and Pareto
Diagrams and Histograms.
• Experience interpreting blueprints, Bill-Of-Materials, data sheets and test reports.
• Excellent communication skills and ability to communicate with all levels of
management.
• Experience using Six Sigma/Lean/Quality tools to improve processes.
• Experience working in an EMS environment preferred.
• In order to comply with federal contract requirements, U.S. citizenship is required for this position.
Education and/or Experience
- BS in an engineering discipline required.
- Minimum 5 years work experience.
- Proficient in English
- Proficient in the applications of Microsoft Office software
- ERP/MRP experience
Certificates, Licenses, Registrations
A plus to have ISO 9001:2000 and AS9100 audit certification Green Belt or Black Belt certification a plus.
For immediate consideration, please submit a resume and salary history to careers@qual-pro.com
Digital Campaign Analyst for Rapp, Los Angeles. Nov. 6, 2009
Digital Campaign Analyst for Rapp, Los Angeles
Rapp Los Angeles, an award-winning Direct Response agency under the
Omnicom (NYSE: OMC) umbrella, is currently seeking a Digital Campaign
Analyst. This is a fantastic opportunity to work with a talented team
with exposure to strategic aspects of our growing business.
If you are interested or know of anyone who is, guidelines for submission are below as is a job description:
Local Los Angeles candidates only, relocation is not offered for this position
No outside recruiters
Please apply online at: www.rappusa.com under the careers section or
submit resume as Word or pdf attachment with Data Strategist in the
subject line to: humresla@rappcollins.com
Rapp is seeking a Digital Campaign Analyst who will participate in
cross-functional teams, help drive marketing strategies and develop
actionable insights through quantitative analysis, the use of research
tools and statistical methods, and innovative thinking.
Overview
• Provide strategic input into media & communications plans based on knowledge of past campaign performance
• Development of strategic M&A plans: explicitly defining what
we want to learn, what we will measure to learn it, how we will measure
it, frequency of measurement
• Strategic test design using single variable, complete or fractional factorial matrix
• Develop ROI pro forma business case projections to set expectations for campaign performance
• Collaborate with Data Strategist in design and implementation of campaign reporting
• Derive meaningful, actionable insights from campaign reporting
in context of business situation, market dynamics, and consumer trends
• Presentation of insights and associated recommendations to internal and external clients
• Consolidated insights across similar campaigns and channels
• Deep expertise in digital media including but not limited to: online display, email, social media and search
Successful candidates will play a strategic leadership role in
informing future campaign strategies and evaluation and optimization of
marketing initiatives. The ideal candidate will have a strong working
knowledge of quantitative analytical techniques and their application
to marketing programs.
Qualifications
1.2-5 years experience working with data and utilizing quantitative
techniques to solve marketing or business problems, such as campaign
analysis, program optimization, customer segmentation, and predictive
modeling.
2.MS Excel expertise – logical functions, lookups, pivot tables,
external source data, dynamic charts and tables, editing and writing
macros, VBA.
3.Organizational skills, the ability to handle multiple tasks
simultaneously, and the ability to work both independently and with
teams.
4.Interpersonal and communication skills. Must be able to communicate
effectively with external clients and internal cross-departmental
partners.
5.Skilled knowledge of key digital analytics tools, particularly
Omniture, Google Analytics and DoubleClick, preferably WebTrends,
Atlas, Mediaplex, CoreMetrics and Hitwise
6.Prefer degree in quantitative field, such as Applied Math or
Statistics, Behavior or Social Sciences, Operations Research, and
Engineering.
7.Preferred statistical skills: significance, error, sample size, ANOVA, design of experiment, SAS, SPSS
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