HI,
*Job Title: Data Modeler* *Location: Columbus, OH 43215* *Duration: 10-12+ Months of Contract* Consultant Full Name: Consultant Full Addresses with Zip Code: Consultant Contact (Home, Cell): Consultant Email: Consultant Skype ID: Consultant Education Details: Bachelor's & Master's/College/University/Year of Passing: Consultant Last 4 Digit of SSN: Consultant Visa Status: Consultant Employer Details (Full Signature): *EXPERIENCE SKILL MATRIX:* Total years of Experience in IT: years Total years of US Experience: years *1. COMPLETE SKILL MATRIX (YEARS OF EXPERIENCE IN EACH SKILL):* 1. Data Modeler: years 2. Data Analysis, Big Data – Hadoop, Data Modeling, Data Visualization: years 3. Data source identification, data profiling, interpretation of patterns and trends, assessment of and improvement of data quality: years 4. Analytically Intensive – Intended to draw/develop insights from data that is collected: years 5. Operationally Data Intensive – Intended to create authoritative data sources that are essential to core transactional processing: years 6. Data Integration Intensive – Requires the merging of many data types to satisfy business requirements: years *Short Description:* 1. This is a Data Analyst Lead role for the Smart Ride program. Data Analysis, Big Data – Hadoop, Data Modeling, Data Visualization Source to Target, Mapping Data, Profiling Leadership Skills. *Description:* A 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 will 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…* 1. Critically evaluates information gathered from multiple sources, reconciles conflicts, classifies the information in logical categories 2. Uses different visualization techniques and present the results of data exploration exercises 3. Understands the flow of data, business processes/technical interfaces that would be created or impacted 4. Identifies and documents sources of existing data as well as the new data. Understands use of master and reference data including sources and contributors. 5. 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 6. Collaborates with data scientists and business partners and conducts data profiling and predictive analysis using a variety of standard tools 7. 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. 8. 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:* 1. 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: A. Analytically Intensive – Intended to draw/develop insights from data that is collected B. Operationally Data Intensive – Intended to create authoritative data sources that are essential to core transactional processing C. Data Integration Intensive – Requires the merging of many data types to satisfy business requirements Thanks/Regards, *Nagesh Gona* Sr.Lead 400 W Cummings Park Suite#2850 Woburn, MA-01801 Email: [email protected] Phone: 781-898-2018 Fax: 978-405-5040 www.xperttech.com -- You received this message because you are subscribed to the Google Groups "SAP Workflow" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/sap-workflow. For more options, visit https://groups.google.com/d/optout.
