Senior Business Analyst

Job Role: Senior Business Analyst

Location: St. Louis onsite, from day 1

Employment type: Contract

Responsibilities

Beyond working with state of the art technology you will have many different fantastic projects to work on as a Business Analyst. Here are just a few different responsibilities you can expect off the bat:

Work with IT teams, management and/or data scientists to determine organizational goals

Mine data from primary and secondary sources

Clean and prune data to discard irrelevant information

Analyze and interpret results using standard statistical tools and techniques

Pinpoint trends, correlations and patterns in complicated data sets

Identify new opportunities for process improvement

Provide concise data reports and clear data visualizations for management

Some Characteristics That Define You

We understand that as a Business Analyst for customer, you have many different professional goals and personal interests. As such here are just a few different things that typically define our team members on the Data Science team:

Analytical. In order to solve problems and build innovative new digital marketing campaigns, it is essential that you know how to take an idea and analyze it from all of its angles.

Patient. As a data scientist, you know that you work with extremely large data sets on a daily basis. As such we are looking for someone who is not only meticulous, but patient enough to sit and sift through that data in a thorough way.

Creative. Beyond just analyzing data sets, you are an explorer and a puzzle solver. Pulling insights out of your data and understanding how those insights can better shape our tools is something that you live to do.

Student. More so than most industries, the field of data science is always changing and evolving. As such, you are always looking to learn new things and gain new skills.

Business-Savvy. Beyond the wicked data science skills you bring to the table, we also want you to consider the business implications of our data tools. From the ways our team will use them to how our customers will use them, we always want you to keep the user and the business application in mind.

Required Skills and Experience

On top of the many intangible skills you bring to the table, there are many skills that can help improve the efficiency and success of your work. Here are a few of those required skills and experience that you will come in with as a Data Scientist on our team:

A bachelor’s degree/pursuing a bachelor's degree in computer science, mathematics, statistics, information systems, or a related field

Experience with statistical modeling

Fundamental knowledge of R and/or SAS languages

Experience with SQL databases and database querying languages

Experience with data mining and data cleaning

Experience with data visualization and reporting techniques

Experience with Splunk

CGS Billing experience preferred

Written and verbal expression.