Data Analyst, Data Informatics – Burlington, MA in Burlington, MA, US at TTEC

Date Posted: 2/13/2018

Job Snapshot

Job Description

Data Analyst, Data Informatics – Burlington, MA
The successful candidate will be a highly motivated self-starter with the ability to solve data analysis problems.  They will have experience using software languages to manipulate large amounts of data.  The primary responsibility of this role is to manipulate and analyze large datasets to answer business questions by generating insightful reports and output.  The candidate will work in a team of data programmers and business analysts to develop deliverables that support data-driven marketing strategies.  
Primary Responsibilities
 

•        Aid in management and manipulation of multiple large data sets, including :  defining populations and variables, performing calculations and summarizations, and creating solutions to address client business questions 

•        Prepare analytic deliverables, combining multiple programming outputs to create cohesive reports

•        Help with maintenance and running of monthly reports

•        Assist senior team members with portions of large analytic deliverables
 
Qualifications/Experience
 

•        Degree in a STEM field, Masters preferred

•        0-4 years of professional experience working with large-scale relational databases, and ability to manipulate/ analyze / maintain relational databases

•        Experience with SAS in addition to one or more of the following :   Teradata, SQL, R, Python, Unix Scripting

•        Aptitude in Microsoft Excel

•        Ability to work with guidance and independently

•        Strong attention to detail

•        Strong verbal and communication skills

•        Comfortable working in team-oriented, deadline driven environment
 
Experience in following areas a plus

•        Knowledge in Hadoop ecosystem or HiveQL

•        Ability to create automated process and knowledge on CronTab, Autosys or related tools

•        Exposure to Tableau, Power BI or other BI tools

•        Ability to write Pig Latin scripts

•        Knowledge of statistical concepts

•        Business, economics, or quantitative methods background