Modeling & Data Analytic Engineers

Our company thrives on creating the most inventive approach to any data challenge. Qbase delivers leading solutions in data enhancement, management and analytics. We help clients improve the quality of their data, preparing it for robust analytics, including scoring and predictive modeling.

 

Innovative Qbase technology works smarter and faster to drive better results at lower cost. Our proprietary tools and web-hosted solutions offer a fresh, intuitive approach to the way we manage and use data.

 

A SHARP FOCUS ON GETTING IT RIGHT motivates Qbase engineers and industry experts. With executives formerly with LexisNexis, Lockheed Martin, General Dynamics and other leading companies, and seasoned fundraisers from the nonprofit sector, the Qbase team provides hands-on consultation with analysis of your data to maximize its value.



Modeling Analytics Engineer

 

The Modeling Analytics Engineer provides data analytics and modeling solutions for Qbase initiatives. The MAE will contribute expertise and provide practical applications in statistical analysis and modeling techniques as Qbase develops solutions unique to our value proposition. Qbase expects the MAE to be active in brainstorming solutions as well as in the design and coding of those solutions. As a key Qbase analytics team member, the MAE will participate in a variety of customer interactions, work with raw data, perform ETL functions, use various analytical tools while producing useful work product. The MAE will grow and advance Qbase’s expertise in data analytics and modeling, often leading or co-leading as we undertake complex challenges in aggregating multiple, diverse datasets.

 

RESPONSIBILITIES:

Expertise in development and application of predictive modeling solutionsExpertise in validation and verification required Skilled in benchmarking and developing computer models of complex systemsC++, C#, ASP.Net, Relational Database (Oracle, SQL, MySQL), Visual Studio .NET coding skills, XML, Operating Systems (Windows 200X/NT)

KNOWLEDGE AND SKILLS:

 Â· Must be a team player with strong collaboration, presentation and documentation skills· Working knowledge of Microsoft Development environment and tools· Discrete event simulation, preferred · Experience with OTS tools in the data mining and / or data modeling space (e.g., SAS, SPSS, KXEN, etc.)· Algorithm development experience· Practical experience in development and application of rule-based and knowledge-based decision support systems

 

EDUCATION AND WORK EXPERIENCE:

 

M.S., Computer Science, Applied or Theoretical Statistics, requiredPh.D., Applied or Theoretical Statistics desired1-3 years experience using back-end databases such as SQL or Oracle in solutions for production applications5+ years experience in design and development of rule-based, knowledge-based or statistical based decision support systemsExperience with OTS BI data analytics platforms (Microstrategy, SSIS, etc.), desired

 

Over-achievers wanted. To apply now, click here.

Access your data anywhere, any time with our intuitive new donor database, hosted on the web.  Learn more at www.qbasefundraising.com

 



EEO Statement



Qbase is an Equal Opportunity Employer. It is the policy of Qbase to ensure equal employment opportunity in accordance with the Ohio Revised Code 125.111 and all applicable federal regulations and guidelines. Employment discrimination against employees and applicants due to race, color, religion, sex (including sexual harassment), national origin, disability, age (40 years old or more), or veteran status is illegal. Qbase managers and employees will comply with state and federal equal employment laws, rules, regulations and guidelines experience

 

DATA ANALYTICS ENGINEER

 

This position exists to provide data analytics and modeling solutions for Qbase clients. The incumbent will contribute expertise and provide practical applications in statistical analysis and modeling techniques as Qbase develops solutions unique to our value proposition. As a key Qbase analytics team member, incumbent will participate in a variety of customer interactions, work with raw data, perform ETL functions, use various analytical tools while producing useful work product.  Ideal incumbents will have strong analytics skill sets.

 

RESPONSIBILITIES:

 Interpret raw analytics into understandable and actionable findings for Qbase clientsUse data mining and analysis techniques, including segmentation, clustering, scoring, and modeling

KNOWLEDGE AND SKILLS:

 Ability to interpret and convey the value of Qbase analytic services and productsDemonstrated ability to work on multiple projects simultaneouslyStrong verbal and written communication skills

EDUCATION AND WORK EXPERIENCE:

 4-year college degree in applied math or computer science with a concentration in mathematics1+ years experience with ETL process and tools (SSIS a plus)Experience with SPSS or SASExperience with MS-SQL or other relational databasesExperience with MS Office including PowerPoint, Excel, Word, Access

 

THESE POSITIONS ARE LOCATED AT NEXT EDGE APPLIED RESEARCH AND TECHNOLOGY PARK IN SPRINGFIELD OHIO, JUST OUTSIDE OF COLUMBUS OHIO.

 

 

Over-achievers wanted. To apply now, click here.

Access your data anywhere, any time with our intuitive new donor database, hosted on the web.  Learn more at www.qbasefundraising.com

 

EEO Statement

Qbase is an Equal Opportunity Employer. It is the policy of Qbase to ensure equal employment opportunity in accordance with the Ohio Revised Code 125.111 and all applicable federal regulations and guidelines. Employment discrimination against employees and applicants due to race, color, religion, sex (including sexual harassment), national origin, disability, age (40 years old or more), or veteran status is illegal. Qbase managers and employees will comply with state and federal equal employment laws, rules, regulations and guidelines experience