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Data Analyst / Scientist
Ref No.: 17-10659
Location: Bala Cynwyd, Pennsylvania
Position Type:Full Time/Contract
Start Date: 11/03/2017
 My client in Bala Cynwyd, PA is looking to bring on a Data Anlyst / Scientist to join their growing team.

Title: Data Analyst / Scientist
Location: Bala Cynwyd, PA
Type: FTE/Direct-Perm
Rate: DOE

We are seeking a Data Analyst, Statistical Modeling with intermediate-level skills to support
comprehensive analysis of media and business data. As a member of our Business Intelligence team, the Data Analyst will work with large data-sets from many sources to explore, interpret and quantify the relationship between media strategy, economic indicators and business outcomes. An applicant for this position should have a strong command of mathematics, statistical packages and libraries as well as basic database schemas and languages.

Responsibilities:
 Work with Business Intelligence to design and implement new analytical capabilities (e.g. integration
with data sources, new media measurement techniques, etc.)
 Facilitate ad hoc analyses and reporting
 Produce advanced statistical modeling
 Codify and share best practices across teams
 Provide subject matter expertise to media teams
 Provide feedback and input for Product Development efforts
Requirements:
 Bachelor's degree, with coursework in a quantitative discipline (e.g. Science, Technology, Engineering,
Mathematics)
 1-2 years of experience with some combination of the following:
o Statistics - R, Python pandas, SAS or similar statistical packages and analysis tools
o Relational Databases - SQL Server, MySQL, PostgreSQL, Amazon Redshift, etc.
o Code – SQL, Python and/or Ruby
 Familiarity with HTTP and REST APIs
 Comfortable working with Linux / Unix-based OS
 Experience working with large data sets and understanding of methodologies for analyzing data
 Experience utilizing Tableau or similar software to create compelling infographics and visualizations
 Proven ability to think creatively about challenging problems
 Ability to self-manage, juggle multiple priorities, and pay strong attention to detail
 Excellent communication skills – ability to distill key ideas for a non-mathematical audience