Global Channel Management
Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day-to-day function. Organizations need to reduce training and labor costs but at the same time require the best "talent" for the job.
Qualifications
Responsibilities Include: Collaborate with project teams to design end-to-end data solutions. Deliver data models supporting design conforming to an enterprise conceptual model. Align solutions to road maps for existing data mart and data management solutions across multiple business lines. Contribute to data strategies for the migration of legacy applications. Develop data reference architecture and promote those standards across the organization. Contribute to data tool standards and governance processes. Assist with evaluating data complexity for projects during project initiation. Assist with reviewing data designs and data models for projects during architectural review meetings. Maintain data dictionary and metadata repositories. Mentor project team members in developing complex data, ETL, and BI solutions. Partner with other data architects to influence and support data needs. Present and socialize data strategy with business and IT leaders.
Who is Our Ideal Candidate? Bachelors degree in Computer Science preferred, with 10+ years experience in data management, modeling, data analysis, and reporting. Strong technical documentation and writing skills. Prior experience with financial services, retirement, insurance, or medical records industry is highly desirable. Expertise with Star, Snowflake, and 3NF data modeling techniques, as well as data warehousing and data mart principles. Hands-on expertise with data modeling tools such as ERwin or Embarcadero ER Studio. Experience with relational databases like Oracle, SQL Server, DB2, Sybase. Experience with ETL tools such as Informatica or SSIS. Familiarity with master data management tools and concepts. Familiarity with industry-standard models like ACORD or IIA. Experience designing and modeling ODS/Warehouses. Expertise in dimensional modeling and slowly changing dimensions. Familiarity with BI tools like Business Objects, OBIEE, etc. Knowledge of Big Data technologies is a plus. Ability to collaborate in a multi-site, matrixed environment. Proficient with enterprise and data architecture concepts. Eagerness to learn new tools and technologies. Experience working in an agile or continuous improvement environment.
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Responsibilities Include: Collaborate with project teams to design end-to-end data solutions. Deliver data models supporting design conforming to an enterprise conceptual model. Align solutions to road maps for existing data mart and data management solutions across multiple business lines. Contribute to data strategies for the migration of legacy applications. Develop data reference architecture and promote those standards across the organization. Contribute to data tool standards and governance processes. Assist with evaluating data complexity for projects during project initiation. Assist with reviewing data designs and data models for projects during architectural review meetings. Maintain data dictionary and metadata repositories. Mentor project team members in developing complex data, ETL, and BI solutions. Partner with other data architects to influence and support data needs. Present and socialize data strategy with business and IT leaders.
Who is Our Ideal Candidate? Bachelors degree in Computer Science preferred, with 10+ years experience in data management, modeling, data analysis, and reporting. Strong technical documentation and writing skills. Prior experience with financial services, retirement, insurance, or medical records industry is highly desirable. Expertise with Star, Snowflake, and 3NF data modeling techniques, as well as data warehousing and data mart principles. Hands-on expertise with data modeling tools such as ERwin or Embarcadero ER Studio. Experience with relational databases like Oracle, SQL Server, DB2, Sybase. Experience with ETL tools such as Informatica or SSIS. Familiarity with master data management tools and concepts. Familiarity with industry-standard models like ACORD or IIA. Experience designing and modeling ODS/Warehouses. Expertise in dimensional modeling and slowly changing dimensions. Familiarity with BI tools like Business Objects, OBIEE, etc. Knowledge of Big Data technologies is a plus. Ability to collaborate in a multi-site, matrixed environment. Proficient with enterprise and data architecture concepts. Eagerness to learn new tools and technologies. Experience working in an agile or continuous improvement environment.
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