Data Modeler/Analyst - ONLY EAD or GC or USC

Data Modeler/Analyst - ONLY EAD or GC or USC

Duration- $18months
COlumbus OH

Top Three Skills:
1. Data profiling
2. Source to target Mappings
3. Data Modeling- Logical, Physical, Conceptual
4. Data visualization
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: 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

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 Intensive – Requires the merging of many data types to satisfy business requirements

Navya

navyar@usmsystems(dot)com

703-953-1819

If my requirement matches your resume, then please do reply on my email id navyar(at)usmsystems(dot)com and contact no is 703-953-1819.