Hi,

If you are Interested and available for the Job, Please revert back with
latest resume, expected pay rate, availability and other details required
for submission to n...@apetan.com.

*Client is TCS*

*MOI: Telephonic+ Skype*



*Job title: Data Analyst*



*Work Location: Chicago*

*No of positions: 8*

*Experience – 4 to 8 years *


*Essential Duties and Responsibilities: *

·        Strong knowledge of SQL/T-SQL
·        Interpret data, analyze results using statistical techniques and
provide ongoing reports
·        Develop and implement data collection systems and other strategies
that optimize statistical efficiency and data quality
·        Acquire data from primary or secondary data sources and maintain
databases/data systems
·        Identify, analyze, and interpret trends or patterns in complex
data sets
·        Filter and “clean” data, and review computer reports, printouts,
and performance indicators to locate and correct code problems
·        Work closely with management to prioritize business and
information needs
·        Profile and understand large amounts of source data available,
including structured, semi-structured or web activity data
·        Work with data originators to fill in gaps in the data collected,
and/or to adjust source-system data structures to facilitate analysis and
integration with other company data.
·        Ability to develop/troubleshoot/enhance complex Stored Procedures
for data loadings/transformation.
·        Strong Working knowledge of other enterprise reporting tools
·        Regular and periodic maintenance/upgrade of data warehouse SQL
server, BI tools like Datastage or SSIS / SSRS.
·        Be the primary POC for all technical issues related to the Data
warehouse solutions/Platform. Learn and support new tools on the job.
·        Works with business leaders to develop detailed business
requirements, creating functional design, gap analysis, technical design,
and traceability matrices.
·        Data management (Data flow, Data profiling, Definition/Meta data,
Master Data Management, Reference Data, Data Quality, Data Lineage, Data
Transformation, Modeling, Analysis, Reporting - All are not required)
·        Perform other related duties as required.


·        *Nice to have* - Knowledge and experience on statistical packages
for analysing large datasets (Excel, SPSS, SAS etc)


*Education and/or Work Experience Requirements: *

·        Excellent verbal and written communication skills, including
ability to effectively communicate with internal and external customers
·        Proven working experience as a data analyst
·        Excellent computer proficiency (MS Office – Word, Excel and
Outlook)
·        Must be able to work under pressure and meet deadlines, while
maintaining a positive attitude and providing exemplary customer service
·        Ability to work independently and to carry out assignments to
completion within parameters of instructions given, prescribed routines,
and standard accepted practices
·        Technical expertise regarding data models, database design
development, data mining and segmentation techniques
·        Strong knowledge of and experience with reporting packages
(Business Objects etc), databases (SQL etc), programming (XML, Javascript,
or ETL frameworks)
·        Associate degree preferred



*Job title: Sr. Data Analyst*

*Work Location: NY/NJ*

*No of positions: 9*

*Experience – 6 to 8 years *


*Essential Duties and Responsibilities: *

·        Strong knowledge of SQL/T-SQL
·        Interpret data, analyze results using statistical techniques and
provide ongoing reports
·        Develop and implement data collection systems and other strategies
that optimize statistical efficiency and data quality
·        Acquire data from primary or secondary data sources and maintain
databases/data systems
·        Identify, analyze, and interpret trends or patterns in complex
data sets
·        Filter and “clean” data, and review computer reports, printouts,
and performance indicators to locate and correct code problems
·        Work closely with management to prioritize business and
information needs
·        Profile and understand large amounts of source data available,
including structured, semi-structured or web activity data
·        Work with data originators to fill in gaps in the data collected,
and/or to adjust source-system data structures to facilitate analysis and
integration with other company data.
·        Ability to develop/troubleshoot/enhance complex Stored Procedures
for data loadings/transformation.
·        Strong Working knowledge of other enterprise reporting tools
·        Regular and periodic maintenance/upgrade of data warehouse SQL
server, BI tools like Datastage or SSIS / SSRS.
·        Be the primary POC for all technical issues related to the Data
warehouse solutions/Platform. Learn and support new tools on the job.
·        Works with business leaders to develop detailed business
requirements, creating functional design, gap analysis, technical design,
and traceability matrices.
·        Data management (Data flow, Data profiling, Definition/Meta data,
Master Data Management, Reference Data, Data Quality, Data Lineage, Data
Transformation, Modeling, Analysis, Reporting - All are not required)
·        Perform other related duties as required.


·        *Nice to have* - Knowledge and experience on statistical packages
for analysing large datasets (Excel, SPSS, SAS etc)


*Education and/or Work Experience Requirements: *

·        Excellent verbal and written communication skills, including
ability to effectively communicate with internal and external customers
·        Proven working experience as a data analyst
·        Excellent computer proficiency (MS Office – Word, Excel and
Outlook)
·        Must be able to work under pressure and meet deadlines, while
maintaining a positive attitude and providing exemplary customer service
·        Ability to work independently and to carry out assignments to
completion within parameters of instructions given, prescribed routines,
and standard accepted practices
·        Technical expertise regarding data models, database design
development, data mining and segmentation techniques
·        Strong knowledge of and experience with reporting packages
(Business Objects etc), databases (SQL etc), programming (XML, Javascript,
or ETL frameworks)
·        Associate degree preferred



*Job title: SAS Data Analyst*

*Work Location: Buffalo NY/London/France/Toronto/Mexico City*

*No of positions :*

*Experience – 6 to 8 years *


*Essential Duties and Responsibilities: *

·        Base SAS and SAS Data Management
·        SAS DataFlux/Analytics and SQL
·        Strong business analysis skills
·        Data management (Data flow, Data profiling, Definition/Meta data,
Master Data Management, Reference Data, Data Quality, Data Lineage, Data
Transformation, Modeling, Analysis, Reporting - All are not required)
·        Data warehouse into SAS environment
·        Query on data sets in SAS to execute reports.
·        Data lineage (for all data elements)
·        End user interaction to understand currently applied business
logics
·        Documentation (either in Office or directly into Collibra) of data
information and meta-data where applicable
·        Engaging with IT to verify source to target mapping (e.g. if data
element is sourced from DW, then where does DW get that data?)


*Nice to have* - Exposure on newer Hadoop based technologies like Hive, Map
Reduce, Pig


*Education and/or Work Experience Requirements: *

·        Excellent verbal and written communication skills, including
ability to effectively communicate with internal and external customers
·        Excellent computer proficiency (MS Office – Word, Excel and
Outlook)
·        Must be able to work under pressure and meet deadlines, while
maintaining a positive attitude and providing exemplary customer service
·        Ability to work independently and to carry out assignments to
completion within parameters of instructions given, prescribed routines,
and standard accepted practices
·        Associate degree preferred



*Job title: SAS DI Developer / Analyst *

*Work Location: NY/NJ*

*No of positions : 1*

*Experience – 4 to 8 years on SAS Data Integration Studio Experience*


*Essential Duties and Responsibilities: *

·        Demonstrated ability to perform as SAS developer using SAS Data
Integration Studio.
·        Experience in extracting, transforming and loading source data
into the SAS environment from multiple sources including major DBMS and
application system transaction files, third-party software packages, and
spreadsheet applications.
·        Understanding of ER and Dimensional Models. • Experience working
with Version Control (SVN, CVS, PVCS).
·        Experience working with a Scheduling Tool.
·        Strong familiarity with Teradata development and execution
environments, and state-of-the- industry reporting and data management
tools.
·        Knowledgeable and experienced in implementing and optimizing
Windows-based SAS products within existing infrastructures.
·        Ability to effectively communicate with various stakeholders:
technical and end-user, staff and management.
·        Ability to work independently.
·        Experience of 4-8 years, preferably


*Nice to have* - Exposure on newer Hadoop based technologies like Hive, Map
Reduce, Pig


*Education and/or Work Experience Requirements: *

·        Excellent verbal and written communication skills, including
ability to effectively communicate with internal and external customers
·        Excellent computer proficiency (MS Office – Word, Excel and
Outlook)
·        Must be able to work under pressure and meet deadlines, while
maintaining a positive attitude and providing exemplary customer service
·        Ability to work independently and to carry out assignments to
completion within parameters of instructions given, prescribed routines,
and standard accepted practices
·        Associate degree preferred

*Nick G.* |* Technical Recruiter **| **Apetan Consulting LLC |*

*Tel: 201-620-9700 * 141 **| **15 Union Avenue,  office # 6,  Rutherford,
New Jersey 07070  | *

*Mail :-** n...@apetan.com <n...@apetan.com> **| **www.apetan.com*
<http://www.apetan.com/> |

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