Analyst/Architect – Data Science

Job Type:

Full-time/Contract

Location:

Multiple Location in USA, UK & India

Experience:

3-10 Years

Salary:

Best in Industry

RESPONSIBILITIES:

As a Data Scientist, you will be responsible for:

  • Proactively assisting in management of several clients, while reporting to management across multiple levels of our organization
  • Training and leading staff for your assigned projects and initiatives
  • Establish effective working relationships directly with clients
  • Contribute to the development of your own and team’s technical expertise
  • Keep up on research related to data science, trends, and potential applications/products
  • Support of business development activities to help identify and research opportunities on new and existing clients and products
QUALIFICATIONS:
  • Bachelor’s degree
  • Computer and Information Science, Management Information Systems or related degree
  • 4 years’ experience in Computer Science, Mathematics, or Statistics or related field/industry
PREFERRED QUALIFICATIONS
  • Demonstrates thorough knowledge of contributing on client engagement teams that design and develop business intelligence (BI) and predictive models for data warehouse (DW) information management architecture
  • Evaluating enterprise DW architecture feasibility, risk and technologies related to business change (i.e. assessing, identifying and recommending BI and related business stakeholders’ data requirements; BI solution prototyping and development; processes and performance from business and technical standpoints; and the impact of data changes on business and IT processes)
  • Advising CXO’s on emerging BI/DW technologies and strategies consistent with clients’ business strategies
  • Prioritizing, preparing and implementing BI and/or DW architectural improvements (i.e. developing and recommending alternative DW technical and data management solutions, methodologies, strategies and architectural improvement plans)
  • Developing and validating business stakeholders’ conceptual data models, including socializing and implementing logical and physical DW/data mart data models; identifying data sources and metadata (including business rules, definitions, attributes) to deliver analytic requirements
  • Demonstrates thorough abilities to interact with end users to understand and document business and functional requirements for complex projects, including full software development life cycle, DW/BI/ETL tools and other related technologies
  • Enterprise data management, data warehousing and/or business intelligence; data modeling, integration and/or synchronization, quality, security, conversion and analysis; database administration; enterprise data management policies, procedures, compliance and risk management. This includes a minimum of having participated in two full life cycle implementations.
  • Architecture, design and development of enterprise business intelligence and data warehousing solutions, including utilizing leading ETL/BI tools and the ability to engineer a solution
  • Design and development of data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching that leverages knowledge within data, master data, metadata and technology management
  • Demonstrates proven thorough skills and success participating in consulting-related projects within a professional services environment that utilize creative thinking skills and individual initiative:
  • Collaborates and contributes as a team member, understanding personal and team roles, contributing to a positive working environment by building solid relationships with team members, proactively seeking guidance, clarification and feedback
  • Identifies and addresses client needs, building solid relationships with clients, developing an awareness of GenInvo services, approaching clients in an organized manner, delivering clear requests for information, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to upper management
  • Prioritizes and handles multiple tasks, researching and analyzing pertinent client, industry, and technical matters, utilizing problem-solving skills, communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment
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