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Data Analyst
Ref No.: 18-05422
Location: Chicago, Illinois
Position Type:Direct Placement
Pay Rate : $ 70,000.00 - 85,000.00 /Year
DATA ANALYST
Looking for an experienced Data Analyst to join a growing Analytics and BI team.  The ideal Data Analyst will be comfortable with multiple data languages and will be able to fit into multiple roles and teams to help customers make data driven decisions.  The Data Analyst will develop skills to take any data and organize it for building a model or also create descriptive/exploratory models.  Excellent communication and interpersonal skills are required.
 
Responsibilities:
Collaborate with Project Managers and business stakeholders to execute Analytics projects. This includes outlining specific deliverables, provide input to project plans and milestones.
Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
Leverage data management processes and available infrastructure / Relation data sources/API tools to develop POC capabilities/solutions
Work alongside ETL engineers to establish an analytics platform to be used across the business
Use good Data Engineering process – Preparation, Exploration, Blending, Validation and Quality Control
 
Qualifications
Bachelors or Masters in a quantitative field: computer science, econometrics, mathematics, statistics, analytics, or other related field
3+ years of professional experience as a Data Analyst
1+ years programming in SQL, R and/or Python.
Experience with R and/or Python is strongly desired
Experience with Spark is desired
Experience with Alteryx is preferred
Experience with Tableau or other data visualization tools is desired
Expert in Microsoft Office suite, especially Word, Excel and Powerpoint
Familiarity with data warehousing concept
Familiarity with IBM DB2 and SQL Server (SSRS, SSIS, SSAS) databases.
Familiarity with IBM SPSS and SAS tools for data exploration and mining is a plus
Experience with Data Manipulation/wrangling techniques—Preparation, Exploration and Blending.
Experience in supporting analytics projects in the following areas-- Consumer Insights, Brand Management, Customer Segmentation, Campaign Development, Web Analytics and Media/Message Mix Modeling
Knowledge in a professional or academic setting on a range of analytical techniques (e.g. Supervised and Un-supervised machine learning techniques, graph data based analytics, statistical analysis, time series, geospatial, nlp, sentiment analysis, pattern detection to name a few)
Experience with command-line scripting, data structures and algorithms and ability to work in a Linux/Windows environment, processing large amounts of data in an on-premise and/or cloud environment
Strong work ethic and personal integrity; self-directed and self-motivated with a highly developed curiosity and willingness to learn.
Excellent verbal and written communication skills as well as interpersonal and influencing skills