Careers

  

 

Summary

To excel with Aginity you must crave the opportunity to have your “fingerprints” all over the company. We are small enough that there are no weeds in which to hide and every person’s contribution counts. We are financially very secure and growing rapidly so that you can fittingly call this a ‘ground-floor’ opportunity led by entrepreneurs who have built successful companies. We reward well each and every one of our top performers.

Note well: We are not a recruiting firm, body shop, or internal IT organization. 100% of our revenue comes from high-end project development work done on behalf of external and demanding clients. We seek only full-time, salaried, passionate and committed colleagues. 

We Are:

  • Collaborative white-collar professionals and business technologists but most of the time we’re in blue jeans, we love what we do, and we laugh a lot.
  • Very technically proficient with a teaching-oriented culture.
  • Naturally curious and creative. We treasure our ability to collaborate with a team to solve complex analytic and technical
  • Consultants who travel...sometimes more, sometimes less...but we use collaboration technologies to minimize it which means lots of flexibility for working from home.
  • Our turnover rate? The words “truly trivial” come to mind. When you interview with us you will directly experience how and why we have made this so.
  • Women and men who work to live. We don't live to work.   
  • Here's one more excellent self-descriptor: We do what we say we're going to do.    

In our descriptions below, we use the word “like” intentionally. We do not present a comprehensive list of all the attributes that might be relevant for our work nor are all of these required for a given role. We seek only long-term players with extensive meta-skills to excel. The right candidate is able to abstract from the samples below to help determine if he/she might be a “unique fit” for Aginity. We evaluate a candidate by placing your uniqueness into our context to determine if and how the pieces fit together.

Business Intelligence Architect

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Data Architect

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Client Partner

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Skill and Knowledge Profile

If you have a comprehensive “leadership and execution playbook” for delivering large-scale data solutions…

If building and growing an early stage company is in your career plan...

If you are inquisitive, self-demanding, and ambitious...

If you have an excellent academic and professional experience pedigree…

Then we'd like to talk with you about joining our team.

The Client Partner has a DW-BI solution development background with extensive program, SDLC, and client management experience. We are not considering contractors or visa sponsorships at this time.

Client-Facing and Engagement Management Skills like:

  • Engagement management at the VP and higher levels
  • Revenue generation beginning with creating new opportunities within a client, to bid development to proposal delivery and winning (of course).
  • Project planning, estimation, resource planning, staffing, and execution, 
  • Strategic POC and roadmap development 
  • Sales pipeline forecasting and management
  • Complete SDLC leadership experience - requirements definition and analysis, architecture and design, coding and development, system integration and user acceptance testing
  • Waterfall, SCRUM and Agile methodology expertise
  • Offshore team management

"Big Data" Tools and Technologies Like:

  • DB2, Netezza, Teradata, Greenplum, Aster, Vertica, Oracle RAC, Pentajo Kettle, Informatica, DataStage
  • Know the difference between ELT and ETL
  • Can describe a star schema
  • Know who Kimball and Inmon are and why they matter
  • OLAP - MOLAP -  ROLAP
  • MDM / DW / BW /DQ / DQ

Deep Experience in Domains Like:

  • CPG
  • Retail / eCommerce
  • Digital Marketing
  • Market Research
  • Logistics /Supply Chain
  • Healthcare
  • Financial Services

You May Have Held Titles Like:

  • Client Partner
  • Engagement Leader
  • VP or Director, Data Architecture
  • Master Client Engagement Manager
  • Program Manager
  • Director of Data Warehousing
  • Senior Manager






Customer Analytics/Stats Modeler

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