Required Skills

Data analyst

Work Authorization

  • US Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 17th Jun 2022

JOB DETAIL

 

  • Bachelor’s degree in Computer Science, Information Technology or related field desired
  • Following knowledge and experience as noted
    • SQL – required
    • Requirement Gathering - required
    • AWS / Hadoop / Horton Works – plus
    • Small & Medium Business (SMB) Data Mart Experience - plus
    • Teradata – plus
    • Informatica - plus
  • Minimum of 5 years relevant work experience
  • Ability to analyze data and work independently
  • Good organizational and interpersonal skills with the ability to work with various functional areas, including field, Region, Division and Corporate personnel

 

Responsibilities:

 

  • Collaborate across multiple teams to understand business needs, analyze complex data, and integrate Business data with other Enterprise data assets
  • Become the subject matter expert in the data and be able to articulate how it benefits business stakeholders
  • Work with business units to document the requirements for enterprise base & semantic layer
  • Identify and build source to target mapping for Business data attributes.
  • Work with management team in estimating level of effort and timelines
  • Need to maintain detailed documentation through data lifecycle processing to ensure fully transparent communication and meeting deadline expectations
  • Develop the business rules and logic in order to harmonize the data
  • Own creation of test plans and execution of User Acceptance Testing for stated data dependent projects 
  • Partner with HQ systems engineering and business units to process data in stage, journal, base and semantic within Teradata and AWS / Hadoop / Horton Works
  • Partner with data architecture and project management teams throughout the project lifecycle
  • Support standardization efforts for referential data used for data analysis and project output
  • Provide regular status updates to leadership team

Company Information