Market Data Analyst
Job Opportunity at Paul Murphy Associates

Posted on Dec 7


Location: Chicago, IL
Job Type: Full Time
Job ID: W4174773

Title: Market Data Analyst

Location: Chicago, IL (Loop)

Length: Full Time

Rate: DOE - to $95K

Role Description
MUST HAVE at least 3 years professional experience.  This is an amazing opportunity that will afford growth and exposure in the areas of AI , data analytics , R programming for the right candidate.  We are looking for a positive attitude, someone who doesn't need a lot of direction - self starter.  You will understand data interrogation and analytics and want to be living this day to day.  We are looking for a highly motivated, creative individual who likes a very collaborative and fast  paced environment.  The role of data analyst works as part of the product team and is responsible for collecting and analyzing data that will help improve our services to our clients.  You will interrogate the data to identify trends and design the best method for making the  results available to the rest of the organization.


Work with large data sets, including unconventional data, to predict statistical market patterns, 

Identify new insights from traditional and alternative sources of data, 

Assist product managers with defining product requirements by interrogating the data, 

Gather requirements and assist with detailed specifications for engineering, 

Build strong working relationships with technology and operations teams, 

Develop understanding to become subject matter expert, 

Assist with creation of marketing and training collateral. 



Bachelor's degree in Computer Science, Statistics, Machine Learning, Artificial Intelligence,  Finance or Mathematics or equivalent quantitative field required, 

Working knowledge of forecasting and data mining techniques, 

Interest in data manipulation and building of statistical models, 

Any type of programming skills in a scripting language (Python) or an analytic package (R)  

Ability to write queries and functions to explore large data sets 

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