*Hi                         *

*Please lookup the below position and if you feel comfortable ,then please
send me your updated resume*



*Position       :  Lead Data Analyst *

*Location      :  Downtown Columbus, OH*

*Duration     :  6+ Months *

*Interview   : Phone then Face to Face*



*Job Responsibilities*

   - Critically evaluates information gathered from multiple sources,
   reconciles conflicts, classifies the information in logical categories.
   - Uses different visualization techniques and present the results of
   data exploration exercises.
   - Understands the flow of data, business processes/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.
   - Identifies and documents sources of existing data as well as the new
   data. Understands use of master and reference data including sources and
   contributors.
   - Collaborates with data scientists and business partners and conducts
   data profiling and predictive analysis using a variety of  standard tools.
   - Creates conceptual, logical and physical data models and determines
   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. Please note this list is not all inclusive.
   - Have joint accountability with data stewards and data architects on
   the projects to ensure conformance to enterprise data governance policies
   around  information risk and data protection guidelines. Data analysts
   should be familiar with  common policies around data masking and protection
   schemes.
   - Data source identification, data profiling, interpretation of patterns
   and trends, assessment of and improvement of data quality, versatility with
   visualization tools and techniques to share analysis findings.
   - It is beneficial for individuals to have worked as a data analyst in
   any of the following types of projects:
      - *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 Intensiv*e – Requires the merging of many data
      types to satisfy business requirements.



*Required Skills*

   - Data profiling



*Highly Desired Skills*

   - Source to target mapping
   - Data Modeling - Hybrid, Dimensional and Relational
   - Data visualization
   - Hadoop









*Regards*

*Vikas Gupta*

*Technical Recruiter*

*VSG Business Solutions*

*221,Cornwell Dr, Bear, DE 19701*

*Email :[email protected] <[email protected]>*

*Contact No : 302-261-3207 X 109*

*Hangout :vikas9181.vsg*

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