Need a Jr level Data Analyst, Senior, MidLevel ANd Lead Data Analyst (11 positions)
Location: Columbus, OH
Duration: 6 months+
Title: Jr level Data Analyst
Location: Columbus, OH
Duration: 6+ Months
Roles:
Critically evaluates information gathered from multiple sources, reconciles conflicts, classifies the information in logical categories.
Understands the flow of data, business process/technical interfaces that would be created or impacted.
Documents the source to target mappings for both data integration as well as web services( consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules.
Collaborate with data scientists and business partners and conducts data profiling and predictive analysis using a Varity of standard tools.
Creates conceptual and physical data models and determine the most appropriate method to represent the data for business consumption. This includes all forms of physical representation of data, such as relational, dimensional, object, key- value(Such as column families) and graph.
Data Analyst should be familiar with common policies around data masking and protection schemes.
Recommended experiences:
Need to have 0-2 years in Data Analysis
Data source identification, data profiling, interpretation of patterns and trends assessment of and improvement of data quality.
Analytically intensive- intended to draw/develop insights from data that is collected.
Operationally data intensive- intended to create authoritative data sources that are essential to core transactional processing.
Data integration intensive- requires the merging of many data types to satisfy business requirements.
Experience with statistical analysis to determine quality of data and fitness.
Position: F
Title: Mid level Data Analyst
Location: Columbus, OH
Duration: 6+ Months
Roles:
Critically evaluates information gathered from multiple sources, reconciles conflicts, classifies the information in logical categories.
Understands the flow of data, business process/technical interfaces that would be created or impacted.
Documents the source to target mappings for both data integration as well as web services( consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules.
Collaborate with data scientists and business partners and conducts data profiling and predictive analysis using a Varity of standard tools.
Creates conceptual and physical data models and determine the most appropriate method to represent the data for business consumption. This includes all forms of physical representation of data, such as relational, dimensional, object, key- value(Such as column families) and graph.
Data Analyst should be familiar with common policies around data masking and protection schemes.
Recommended experiences:
Need to have 2-5 years in Data Analysis
Data source identification, data profiling, interpretation of patterns and trends assessment of and improvement of data quality.
Analytically intensive- intended to draw/develop insights from data that is collected.
Operationally data intensive- intended to create authoritative data sources that are essential to core transactional processing.
Data integration intensive- requires the merging of many data types to satisfy business requirements.
Experience with statistical analysis to determine quality of data and fitness.
Position: G
Title: Sr. level Data Analyst
Location: Columbus, OH
Duration: 6+ Months
Roles:
Critically evaluates information gathered from multiple sources, reconciles conflicts, classifies the information in logical categories.
Understands the flow of data, business process/technical interfaces that would be created or impacted.
Documents the source to target mappings for both data integration as well as web services( consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules.
Collaborate with data scientists and business partners and conducts data profiling and predictive analysis using a Varity of standard tools.
Creates conceptual and physical data models and determine the most appropriate method to represent the data for business consumption. This includes all forms of physical representation of data, such as relational, dimensional, object, key- value(Such as column families) and graph.
Data Analyst should be familiar with common policies around data masking and protection schemes.
Recommended experiences:
Need to have 5-8 years in Data Analysis.
Demonstrated leadership ,communication and influencing skills relative to project level efforts.
Data source identification, data profiling, interpretation of patterns and trends assessment of and improvement of data quality.
Analytically intensive- intended to draw/develop insights from data that is collected.
Operationally data intensive- intended to create authoritative data sources that are essential to core transactional processing.
Data integration intensive- requires the merging of many data types to satisfy business requirements.
Experience with statistical analysis to determine quality of data and fitness.
Position: H
Title: Lead Data Analyst
Location: Columbus, OH
Duration: 6+ Months
Roles:
Critically evaluates information gathered from multiple sources, reconciles conflicts, classifies the information in logical categories.
Understands the flow of data, business process/technical interfaces that would be created or impacted.
Documents the source to target mappings for both data integration as well as web services( consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules.
Collaborate with data scientists and business partners and conducts data profiling and predictive analysis using a Varity of standard tools.
Creates conceptual and physical data models and determine the most appropriate method to represent the data for business consumption. This includes all forms of physical representation of data, such as relational, dimensional, object, key- value(Such as column families) and graph.
Data Analyst should be familiar with common policies around data masking and protection schemes.
Recommended experiences:
Need to have 5-8 years in Data Analysis.
Demonstrated leadership ,communication and influencing skills relative to program and organizational level efforts.
Data source identification, data profiling, interpretation of patterns and trends assessment of and improvement of data quality.
Analytically intensive- intended to draw/develop insights from data that is collected.
Operationally data intensive- intended to create authoritative data sources that are essential to core transactional processing.
Data integration intensive- requires the merging of many data types to satisfy business requirements.
Experience with statistical analysis to determine quality of data and fitness
Rajesh Gorthi
855-682-0050 EXT 125
mailto: rajesh@ntc-us.com
Regards,
Rajesh
248-809-5931
You received this message because you are subscribed to the Google Groups "CVMSCRM" group.
To unsubscribe from this group and stop receiving emails from it, send an email to cvmscrm+unsubscribe@googlegroups.com.
To post to this group, send email to cvmscrm@googlegroups.com.
Visit this group at http://groups.google.com/group/cvmscrm.
For more options, visit https://groups.google.com/d/optout.
No comments:
Post a Comment