Hi Friends,

Hope you are doing great,



I have an urgent requirement from one of my esteem client, I will
appreciate if you can have an eye on the below requirement and send me your
consultant updated profile ASAP.



*Lead Data Modeler*

*Duration – 12 months, long term*

*Location – downtown, Columbus, OH*

*EAD or GC or Citizens only*



*Top Three Skills:        *

1. Data profiling

2. Source to target Mappings

3. Data Modeling- Logical, Physical, Conceptual

5. SQL experience is also very important- We will be trying to use a tool
called Informatica Data Quality to conduct data profiling. If for some
reason we run into issues using this tool, we fall back to SQL.

6. LEADERSHIP and COMMUNICATION- This position is viewed as a
Director-level role in the organization. Candidates need to be able to
effectively and confidently describe and execute on Data Analysis/Modeling
strategies for the program.



*Job Description:                    *

Position likely to be contract to perm.

A Lead data analyst performs a variety of tasks related to collecting,
organizing and interpreting data. A data analyst will be responsible for
inspecting, cleansing, transforming and modeling data. A data analyst wll
have to deal with uncertainty about data information completeness and
quality. A data analyst will play a dominant role in business intelligence,
advanced analytics, data integration and master data management efforts and
will be involved with traditional application development projects where
necessary. Role accountabilities

A data analyst will have a natural inclination and passion toward problem
solving in a disciplined process oriented fashion. A data analyst will

– 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.

Recommended experiences



Best Regard

Sai Kiran

saikir...@usmsystems.com

703-880-4146

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