Archive for the ‘Job Board’ Category

What We Look for When Hiring People

Posted by: Grant Stanley on March 28th, 2012 2 Comments

When hiring new people, we primarily look for four things; People that just build things, use learning as a tool, pursue the truth and are passionate about our vision.

First, it is important that they just build things. We don’t care about people that love to build things. Everyone on our team just builds things. They get an idea for a product, process, business or experience, and they just build it. We are very interested to know what people have built and why. We are looking for their ability to identify a need, scope the solution, and organize the resources necessary to develop the solution. We expect every CAN employee to be an executive, because they are expected to make decisions everyday that impact the future of the organization.

Second, they must use learning as a tool. We don’t care about people who love learning. At CAN the ability to learn almost anything is essential to success. When we get a new client or encounter a new problem, we figure out what needs to be done, learn how to do it, and then do it. Working at CAN would be very frustrating for someone that uses knowledge as a tool. We don’t pay people for what they know, we pay people for what they can learn.

Third, they must pursue the truth. We need people that not only pursue that truth, but embrace it without hiding from uncomfortable facts. Our clients pay us to change their organizations to help them work smarter. Often, CAN’s research uncovers uncomfortable truths about our client’s business, and it is our job to expose that truth. More often than not this is very uncomfortable, and our people must be able to confront these truths while operating with an executive level of consideration.

Fourth, they need to be passionate about our vision. CAN’s vision is to develop simple systems to help all companies work smart.  We do not need technicians that are in love with technology. We need people that see technology as a tool, and are passionate about building simple tools that everyone can use. Also, we need people that are passionate about business.

These criteria apply to every position, and are internal to the culture of CAN.  Having clearing defined what we look for when hiring people allows us to hire people based on their alignment to our culture, instead of their specific skills or education.  While this makes finding the right people very difficult, it has created an environment that is rife with creativity and original ideas.  Everyone is pursuing the same goals with same culture and different skills, experiences and education.

CAN is not for everyone, but we don’t need everyone.

Why Jefferson Decided to Join CAN

Posted by: Grant Stanley on January 31st, 2012 Leave a Comment

Jefferson joined CAN before we had this blog, our website, our products, or our office at 1209 Harney St.  This video is about how and why he decided to join Contemporary Analysis.  He knew we had potential and decided to become apart of CAN’s future and the future of data science.

Why I became a Data Scientist at Contemporary Analysis

Posted by: Branden Collingsworth on January 18th, 2012 1 Comment

My name is Branden Collingsworth. I interned at CAN this summer, and joined the team full-time January 2nd, 2012 as a data scientist.  As a data scientist I use tools from econometrics, statistics, operations research, and data mining to solve our client’s business problems.

Why did I decide to work at CAN?
While working on my undergraduate degree in economics and my MBA, I really enjoyed learning about the tools available for the kind of analysis we do here at CAN.  While data science is a growing field, there are relatively few data science companies.  More importantly, many of CAN’s competitors don’t have the same emphasis on business that we have.  CAN approaches clients to help improve their business, not just to show off fancy statistical techniques. That business-centered approach is really refreshing in an industry that is easily bogged down in esoteric discussions of complex methodology. I’m passionate about the focus on practical result that can be easily implemented to make a big impact.

What do I like most about working at CAN?
Because our clients represent a wide range industries and sizes, every project is unique. I am really excited by the opportunity to learn something new about our clients. When we can look at a data set and can discover new knowledge like which customers are most loyal, what causes employee turnover, how economic forces outside the business influence revenue, or where is the best physical location for a business, we are learning something new about our clients’ businesses, something that is valuable and has real business consequences. We can have big impact on our client’s business which makes for very satisfying work.

What do I like most about being a data scientist?
Data science a really interesting and challenging field. It’s such a new field, there is a lot to learn and the methods are changing and evolving. New techniques are becoming more and more relevant all of the time. Working in this field requires knowledge and passion about such a wide range of topics: psychology and human behavior, economics, computer science, marketing, statistics, operations research, decision science, and even linguistics. I love the challenges that come with working on these kinds problems. There is never a dull day.

What are you most excited about for your future at CAN?
I think as more businesses begin to understand what we can do for them, we’ll get more and more interesting projects. I like to see people make informed and well thought out decisions, and that is what CAN is all about. I think we are on the vanguard of a big change in the way people think about making business decisions. Now that the data is increasingly available people can either use it or ignore it. Those who put information to its best use will have a significant advantage over everyone else. It’s inevitable, and I want to be a part of it.

I am excited to join the Contemporary Analysis team, and helping CAN’s clients work smart.  You might also enjoy Predictive Analytics and the Evolution of Business Intelligence and the Future Belongs to Data Scientists.  I look forward to becoming a regular contributor to the CAN blog.

Why I work at Contemporary Analysis

Posted by: Nate Watson on January 16th, 2012 Leave a Comment

I get asked why in the prime of my career I went back to working for a startup company, run by young talent, in a field on the cutting edge of analytics.  It was because, for the first time, I felt like an owner had a vision I could get behind.  He wanted to be something better, do something different, and wanted me to help him create something magnificent.  I saw it as a unique opportunity because, for the first time, I found a true entrepreneur.

Most people define anyone that starts a business as an entrepreneur, which is actually not accurate.  That definition is the definition of a business owner.  An entrepreneur is a mindset, a way you do business and how you look at problems.  I knew Grant, the CEO of CAN, was different when he told me he was going to turn down being bought by 2 different companies. That alone puts you in a different class.  Most owners would sell if they ever got the chance.  In fact, Grant has no intention selling off or IPO’ing his  juggernaut of a company.  In fact, he wants to be a privately owned Fortune 500 company headquartered in Omaha, NE.  Grant not only is an entrepreneur, but he has vision.  And big vision at that.

People have told us that we can’t do it, and yet, we keep doing it.  We will easily have over $3 million in revenue for 2012, double that of last year and 10x’s that of 3 years ago, and already have contracts with 2 of the Fortune 500′s in our hometown.  We are hiring, building out, releasing new products, and thinking about how to do business better.  I have worked at a couple of startups in my life, but this is the first that does that kind of reflection and planning.  Our goal is to not only grow, but grow in a way that is sustainable and scalable by taking the time and energy to do things right the first time.  We want to build our products, people, systems and processes so they last, instead of being obsolete the next year.  While this requires extra time to research, tinker and think about what the future will look like, this philosophy allows CAN to grow without having to look back.  I wanted to be part of a company that has that kind of philosophy.

This philosophy has appealed to me.  I used to think I needed all the answers before I could recommend change.  Through the books Grant, he wants us to grow as humans and executives, has given me to read, I realized that I didn’t need all the answers before tackling a problem.  In fact, our whole company is based on the fact the answers that are out there are not the best way any more.  We have to invent new ways to stay ahead of competition or risk being a follower.  That understanding changed what I defined an entrepreneur as.  No longer did I see it as someone who likes risk, who lives on the stress created by it, and who loves the idea that while he or she may fail, the reward for winning is enormous.  Instead, I began to see an entrepreneur as someone who isn’t willing to accept things as they are as the best way.  In the hands of a true entrepreneur business is the best platform to change the world.

My philosophy also changed how I viewed risk and how I found that entrepreneurs viewed risk.

In the book Breakthrough Entrepreneurship, Harvard Business Professor Howard Stevenson defines entrepreneurship as “the pursuit of opportunity without regard to resources currently controlled.”  From working with Grant, I know that this is true.  He has the unique ability to take action that require using resources that he doesn’t have and sometimes that don’t even exist.  For example, he founded Contemporary Analysis in 2008 well before you could even Google “big data”, “data science” or “predictive analytics”.

Also in the same book, Jon Burgstone, summarizes a true entrepreneur’s ideology:

Every time you want to make any important decision, there are two possible courses of action. You can look at the array of choices that present themselves, pick the best available option and try to make it fit. Or, you can do what the true entrepreneur does: Figure out the best conceivable option and then make it available.

This is what makes Contemporary Analysis great, our leader does not look to see what choices are available, instead he looks for the option that would be best for the business, and then goes and finds out how to make that option available.  This takes leadership that is empowered, and empowers everyone they work with to question why everyone has always done everything.

For example, we go directly to buyers and  talk only to people who have the need,willingness, and resources to buy what we sell.  Also, we research every decision we make from chairs and desks to computers and phone systems.  We find the system that makes sense to us and then find the vendor who sells it.  We certainly don’t wait for cold calls, don’t put up with bad customer service, or buy from poorly trained sales people.  We do things differently.

I am excited to work here.  I have no pedigree of how things have been done for years to try and get out from under.  I have the freedom to help my clients answer the questions that they have been struggling to answer for years, and help them make better decisions on how to make their businesses succeed.  At CAN I am not limited by the technology or resources available, but empowered by the mandate to help every client work smart.

One more quote from Professor Stevenson:

When you don’t have the cash to boss people around, like in a corporation, you have to create a more horizontal organization. “You hire people who want what you have and not what you don’t have.”  In other words, entrepreneurs offer their team members a larger share of a vision for a future payoff, rather than a smaller share of the meager resources at hand. Opportunity is the only real resource you have.

And this place, Contemporary Analysis, is one of the best opportunities to make a difference in the world I have ever seen.

It’s why I work here.

Job Board: CAN Navigator

Posted by: Grant Stanley on December 13th, 2011 Leave a Comment

Contemporary Analysis (CAN) is a global data science company based in Omaha, NE that provide predictive analytics to multiple Fortune 500 companies and small businesses in the United States, Europe and Asia.  CAN is focused on making analytics accessible to companies of all sizes and industries, and offers standard products and professional services.

CAN Navigators are the core of CAN’s client experience.  They are responsible for helping customers achieve their business goals by helping them discover, understand and use CAN’s business systems.  This is the perfect position for someone that loves to continually learn and teach others.  Navigators are responsible for learning about client’s businesses and their goals, researching and helping them develop and implement a plan to help them Work Smart.  They must be experts in both the technology and customer service.

Primary Responsibilities:

Introduce: CAN Navigators are responsible for introducing clients to CAN to determine if they have a need, willingness and resources to purchase CAN’s systems.  This includes handling incoming clients from CAN’s website and referral program, and also contacting sales leads qualified with CAN’s Tracker system.

Discover: Once a client has been introduced to CAN, and has expressed the need, willingness, and resources CAN Navigators will train to be experts at data science and business so that they can work with clients to understand their business and their business goals.  Clients should be confident that their Navigator has a good understanding of their business.  If a Navigator is not sure that they fully understand a client’s business, their business goals, or the right solution they will research until they understand more.

Create: After the Discover stage, Navigators will work with Client to create a plan to help them achieve their business goals.  This will include discussing CAN’s systems, as well as third party products and services.  The purpose of this step is to collaborate with clients to create a timeline and action plan to work smart.

Work: After the Create stage, Navigators will work with Clients to setup and understand CAN’s systems in their businesses, and then work with each client to help them achieve their business goals.

Relevant Experience and Education

  • Minimum Education: Bachelor’s Degree from an accredited institution, with a degree in business or relevant work experience.
  • Able to maintain focus in a high charged environment and manage competing priorities.  This includes experience managing multiple projects simultaneously against tight deadlines.
  • Experience solving business issues with the consultative application of advanced analytics and/or information technology.
  • Strong presentation and client management skills, up to the Executive level.  This includes being able to explain highly detailed and technical subject matter to non-technical audience, and being able to present and sell analytical concepts to clients.
  • Experience delivering insight to internal or external clients by building on a technical foundation that includes a conceptual understanding of modeling techniques and a basic grasp of statistics.  Ability to build analytical applications to solve a practical problem, in an on the spot high-pressure situation.
  • Experience in project management and managing a team to meet a deadline, manage client expectations, and maximize client satisfaction relative to solution profitability.
  • Functional experience in one or more of the following areas: selling analytic services, project management, analytic product development, pre-sales, implementation, account management
  • Technical foundation to include one or more of the following areas: Bayesian statistics, multiple regression analysis, econometric modeling

If you are interested in learning more and applying contact Grant Stanley by phone at 866-963-6941 #801 or connect with him on LinkedIn.  Please have your LinkedIn profile up to date before applying.

Job Board: Government Contracting Specialist

Posted by: Grant Stanley on December 13th, 2011 Leave a Comment

Contemporary Analysis (CAN) is a global data science company based in Omaha, NE that provide predictive analytics to multiple Fortune 500 companies and small businesses in the United States, Europe and Asia.  CAN is focused on making analytics accessible to companies of all sizes and industries, and offers standard products and professional services.

The purpose of this position is to help expand CAN’s involvement with Federal, State and Municipal governments.  Government contracting specialists are apart of CAN’s professional services team.  CAN’s professional services team is responsible for developing solutions for CAN’s largest and most unique clients including governments, Fortune 500 and Global Fortune 50 companies.  The by-products from the team’s professional services are used to create new and enhance existing CAN products.

Each government contracting specialist is be responsible for building relationships with government employees, contracting officers, and elected officials.  Then determining which contracts to bid on based on CAN’s potential to win.  Finally working with CAN’s data scientists to develop written and verbal presentations to respond to requests for proposals.

Relevant Experience and Education: 

Required:

  • Minimum Education: Bachelor’s Degree from an accredited institution, or relevant work experience.
  • Minimum of a 7-day internship with Contemporary Analysis
  • Demonstrate knowledge of sales, negotiations, and persuasion
  • Experience in public speaking and ability to demonstrate excellent oral and written communication skills
  • Demonstrate the ability to develop product and pricing proposals
  • Ability to work effectively with a team virtually from a home office, executive suite, or hotel

Preferred:

  • An established professional network
  • Bachelor’s Degree from an accredited institution, with a degree in Finance, Management, Statistics, Mathematics, Management Information Systems, Accounting, Economics, or relevant work experience.
  • Understanding of calculus, economics, and/or econometrics
  • Demonstrate the ability to write legal contracts and demonstrates basic understanding of business law
  • Demonstrate understanding and appreciation of industrial design

If you are interested in learning more and applying contact Grant Stanley by phone at 866-963-6941 #801 or connect with him on LinkedIn.  Please have your LinkedIn profile up to date before applying.

Job Board: Data Scientist

Posted by: Grant Stanley on December 9th, 2011 Leave a Comment

Contemporary Analysis (CAN) is a global data science company based in Omaha, NE that provide predictive analytics to multiple Fortune 500 companies and small businesses in the United States, Europe and Asia.  CAN is focused on making analytics accessible to companies of all sizes and industries, and offers standard products and professional services.

The purpose of this position to help expand our professional services team.  CAN’s professional services team is responsible for developing solutions for CAN’s largest and most unique clients including Fortune 500 and Global Fortune 50 companies.  The by-products from the team’s professional services are used to create new and enhance existing CAN products.

Each Data Scientist is responsible for working with a CAN Sales Executive to understand each client’s business, define projects to help clients achieve their business objectives, use data science to develop solutions, and present results as a written report and presentation.  Data Scientists must be familiar enough with statistics and computer science to develop creative solutions, and have the written and verbal skills to develop compelling reports and presentations.

The Data Scientist will be responsible for:

  1. Working with the Sales Executive, the Data Scientist will work at all executive levels to help design solutions that will meet the needs of the client.  To be able to design creative solutions that go beyond simple client feature requests will require Data Scientists to have an advanced familiarity with modeling, mathematics and statistics.  Also, during the discovery phase the Data Scientist will coordinate with the COO and Sales Executive to develop project budgets.
  2. During the implementation phase, the Data Scientist will work with other CAN Data Scientists and vendors to implement the Analytical Blueprint, and monitor client results, and adjust the Analytical Blueprint to optimize the client results and experience.  Since CAN offers data science solutions as a service, implementation can last from a month to several years.  This creates a unique project management scenario that requires continuous monitoring to ensure that the project does not fall behind.
  3. The Data Scientist working with the Sales Executive will maintain a positive relationship with the client, ensure ongoing deliverables are met, and assess any future need for CAN’s services.  In some cases the Data Scientist will need to record best practices from the project, or write specific business issue case studies.

Qualifications:

  1. Minimum Education:  Bachelor’s Degree from an accredited institution, with a degree in Economics with multiple classes in econometrics, and/or degree in Computer Science
  2. Able to maintain focus in highly-charged environments and manage competing priorities.  This includes experience managing multiple projects simultaneously against tight deadlines
  3. Experience solving business issues with the consultative application of advanced analytics and/or information technology
  4. Strong presentation and client management skills – up to the highest executive level.  This includes being able to explain highly detailed and technical subject matter to non-technical audience, and being able to present and sell analytical concepts to clients
  5. Experience delivering insight to internal or external clients by building on a technical foundation that includes a conceptual understanding of modeling techniques and a basic grasp of statistics.   Ability to use analytical applications to solve a practical problem, in an on the spot high-pressure situation
  6. Experience in project management and managing a team to meet a deadline, manage client expectations, and maximize client satisfaction relative to solution profitability
  7. Functional experience in one or more of the following areas, selling analytic services, project management, data science product development, pre-sales, technology implementation, and/or account management
  8. Technical foundation to include one or more of the following areas, Bayesian statistics, multiple regression analysis, and/or econometric modeling.

If you are interested in learning more and applying contact Grant Stanley by phone at 866-963-6941 #801 or connect with him on LinkedIn.  Please have your LinkedIn profile up to date before applying.

Job Board: Data Science Champion

Posted by: Jefferson on November 22nd, 2011 Leave a Comment

One of CAN clients is looking to hire an internal Data Science Champion to help their Data Science Team find answers to business problems, reduce waste, and identify novel opportunities to apply data science in helping achieve their operational and strategic goals.

The Data Science Team is responsible for helping identify, scope and implement profitable data science initiatives.  The Data Science Champion will collaborate with the client’s preferred Data Science Provider Contemporary Analysis Inc. (CAN), and will spend 2 to 3 days a week at CAN headquarters and 2 to 3 days on site at the clients multiple offices.  The Data Science Champion will work with CAN’s team of data scientists.  CAN is headquartered in Omaha Nebraska, and is a global provider of data science services and products to companies ranging from small businesses to Global Fortune 50 companies.

The Data Science Champion will be responsible for:

  • Interviewing key executives to learn about key business problems and objectives.
  • Working with CAN to develop solutions to solve business problems and meet specific objectives.
  • Maintain a working knowledge of business intelligence and data science, in order to propose solutions to specific business problems, this includes identifying best practices as well as emerging trends.

Qualifications:

  • Bachelor’s degree in related field with 1+ years of work experience in a professional full-time position.  Degrees in accounting, economics, history, or a social science are preferred.
  • Curious, passionate, and knowledgeable about data science and business intelligence.
  • Experience applying the scientific method and analytical thinking to solve problems.
  • Strong communication skills, especially in interviewing and presenting to key executives and managers.
  • Ability to communicate complex thoughts in writing
If you interested please contact Jefferson Meyer by phone at 866-963-6941 or connect with him on LinkedIn.