*Greetings..!!*

*Below is the urgent requirement with our client, please let me know if you
have any consultants.*

*Send resumes to* *srinivas.g...@dsc-usa.com <srinivas.g...@dsc-usa.com>*

*Position : Data Validation Analyst/ Data Analyst*

*Location : New York, NYC or Boston *


*Duration : 6+ Months *

*Rate: $40/hr C2C*


*Duties and Responsibilities :*

Data Analysts are one of the key technical resources on an MROI project
team. They are the go-to expert on their clients’ data, and are principally
responsible for understanding client data requirements and providing
analysis and quality assurance to ensure that data is suitable for
modeling. They also support the team by providing novel analysis,
configuring data tools, writing or reviewing custom transformations and are
generally the key team member that is closest to the client data and has a
clear view of . These responsibilities are like:

•           Identify and report potential data quality issues, through
automation and visualization

•           Document and investigate trends or issues within datasets
across multiple transformations

•           Assist in the creation of data transformations and
configuration metadata for project teams

Qualifications:

The Data Analyst role is an entry to mid-level position for applicants with
a passion for working with wide and varied data sets. We seek candidates
with strong data problem solving skills, a results oriented mindset, and a
desire to make a personal impact within an agile environment. This is a
hands-on role in a small and highly motivated team where you will develop
and use skills related to data quality, analysis, self-management, ETL,
databases, scripting, and project delivery.

Required Skills :

•           Self-management and effective communication

•           Expertise manipulating and analyzing data for QA using
appropriate tools (at least one of: Excel pivot, R, SAS, SQL, or similar)

Requested Skills :

•           Knowledge of common QA process and tools to share information
(JIRA, Confluence, or similar)

•           Working knowledge of SQL to manipulate and clean large data
sets (preference for Postgres or similar)

•           Knowledge of scripting languages, text manipulation tools, and
other automation aids (e.g., Python, sed, awk, regular expressions, Linux
shell scripting)

•           Experience working with one or more ETL products (preference
for Pentaho)

Experience/Education :

•           3 years’ experience analyzing and transforming complex data
sets
•           Bachelor’s Degree (IT/Engineering/Math/Science preferred)





Regards,
Srinivas

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