Data Analyst-Onsite Hybrid Position

Job Details

  • ID#44938655
  • Address 10105 , New york city,

    New York

    New york city USA
  • Job type

    Contract

  • Salary USD Depends on Experience Depends on Experience
  • Hiring Company

    Novigo Solutions Inc

  • Showed17th August 2022
  • Date05th August 20222022-08-05T00:00:00-0700
  • Deadline04th October 2022
  • Category

    Et cetera

Data Analyst-Onsite Hybrid Position

Vacancy expired!

A well reputed Financial Client is looking for a Data Analyst-This is a Onsite Hybrid PositionData\Business Analyst Responsibilities:

  • Translates business strategies and objectives into business requirements.
  • Provides traceability of business requirements to IT Solutions
  • Analyzing confidential data and information according to guidelines.
  • Helping develop reports and analysis.
  • Analyzes, designs, redesigns and documents “as is” and “to be” business processes.
  • Identifies data elements and provides data mappings/dictionaries.
  • Supporting initiatives for data integrity and normalization.
  • Conducts/facilitates acceptance tests for solutions with user community, including, development of UAT test scenario and test scripts.
  • Generating reports from single or multiple systems.
  • Troubleshooting the business application, database and reports.
  • Partners with Business/IT in define and management of scope with each release.
  • Training end-users on new application/feature, reports and dashboards.
Data\Business Analyst Requirements:
  • Bachelor’s degree from an accredited university or college in computer science.
  • Work experience as a data analyst or business analyst or in a related field.
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into non-technical, lay terms.
  • High-level experience in different project methodologies (including Waterfall and Agile)
  • Demonstrated experience in handling large data sets and relational databases.
  • Strong Data analysis skills
  • High-level understanding of various API data.
  • High-level written and verbal communication skills.

Vacancy expired!