Please forward resumes @ *[email protected] <[email protected]>*
Role:- Data Analyst - Healthcare Location :- Michigan Duration :- 1 year Top 3 Required Skills/Experience - 6+ years of experience within health care analyzing Health plan data (Membership, Claims, Provider, Clinical, etc.), and knowledge of the business processes and supporting metrics/KPI - 6+ years experience analyzing and modeling an enterprise use layer (dimensions/facts), dependent data marts and BI/reporting solutions against a very large Enterprise-wide Data Warehouse (10+ terabytes) according to industry standard data models - 10 years of experience interfacing between operational and analytical areas in the business, enterprise architecture, and technical resources developing information management solutions Required Skills/Experience - Extensive knowledge of data modeling concepts and best practices both in a multi-layer data warehouse (Normalized / Inmon) and data mart (Dimensional / Kimball) - Experience with data modeling and metadata solutions including ERWin, System Architect, Informatica Metadata Manager, and leveraging those solutions to produce data dictionaries and enterprise data lineage documentation - Experience with various layers of EDW including data hub, ODS, EDW and Data Marts - Experience with data governance working with data stewards and business stakeholders to understand the impacts of data model changes, gain consensus on data definition and business rules, and communicating to all consuming systems - Knowledge of transaction standards (834, NCPDP, HL7, etc.) - Experience with Master Data Management solutions, Informatica MDM and Initiate preferred - Experience with data profiling/quality solution, Informatica Data Quality (IDQ) preferred - Demonstrated expertise in writing and analyzing complex SQL queries in a Very Large Database (VLDB) environment is required - Ability to interpret data that is not well defined or documented and develop recommendations based on findings - Experience in working with business and technology stakeholders ¿ senior leadership, middle management and subject-matter experts ¿building a holistic business processes and information assets; linking the business mission, strategy and processes of the organization to its Enterprise Data Warehouse (EDW) strategy. - Expertise in assisting the creation of the high-level architecture and data solution design for BI and DW projects (conceptual model, integration model, sourcing) in alignment with the enterprise data strategy and translates enterprise or business needs into long-term information architecture solutions. - Experience in applying enterprise vision to all BI and DW technical and application projects, understanding and communicating different architectural models/strategies that are consistent with business strategies. - Experience in creating logical and physical data models using the Entity Relationship Diagram (ERD) methodology. Preferred Skills/Experience - Experience working with big data / Hadoop solutions in an enterprise data warehouse environment - Experience with Cognos 10.2 reporting tool (frame work / Studios/ reporting) - Knowledge of Informatica, ability to read / analyze existing code and be able to propose innovative solutions and modifications Education/Certifications - Bachelors Degree in related field required. Master's Degree in related field preferred *Please forward resumes at [email protected] <[email protected]>* *Thanks & Regards, S Narayanan Source InfoTech Inc. 3840, Park Avenue, Suite C-205, Edison, NJ-08820 (MBE CERTIFIED) Phone: 609-945-1171 || Fax: 732-909-2282 || Email: [email protected] <[email protected]> | GTalk:-snarayanan2sourceinfotech* -- You received this message because you are subscribed to the Google Groups "US_IT.Groups" 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/us_itgroups. For more options, visit https://groups.google.com/d/optout.
