Required Skills

SQL Data Analytics. IT perspective.

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 26th Jul 2022

JOB DETAIL

  • Responsible for leading complex projects and independently executing analyses that support the healthcare value portfolio.
  • Translates technical results into answers for healthcare business needs and applies a strong understanding of healthcare industry when creating those solutions.
  • Partners effectively outside of the business team to execute work.
  • Works closely with team members to fully understand the business question and source associated data required for a solution.
  • Executes work efficiently, bringing forward process enhancements with a continuous improvement mindset.
  • Minimum 6 years’ experience in Advanced Data Analytics.
  • Proficient in advanced functions in SQL.
  • Advanced understanding of data warehousing and data mining concepts such as: DataMart design, fact tables, dimension tables, data views within data marts/data warehouses, data models such as star schemas and snowflake schemas.
  • Ability to recognize data patterns, quantify potential issues and identify solutions.
  • Ability to standardize, harmonize, clean, prepare and use data for developing datasets, reporting and analysis.
  • Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Conduct data gathering and analysis to understand business requirements. Provide direction for short and long-term solutions and provide the team direction to ensure understanding of business goals and direction. Provide input from a business and IT perspective.
  • Healthcare Experience
  • Experience with big data tools: Hadoop, Spark, and scripting languages: Python or Scala

Company Information