Demo

Data Analyst

Cbase Inc
Chicago, IL Full Time
POSTED ON 4/3/2025
AVAILABLE BEFORE 5/2/2025

NOTE:- Only US Citizen`s, Green Card`s and GC or H4 EAD`s.



Position : Data Privacy Analyst

Location : REMOTE (Chicago, IL)

Duration : 6 Months


NOTES:-

  • Looking for 5 yrs. experience
  • Someone who understands privacy impact assessment concepts, be able to identify personal identification
  • Onetrust, securityAI
  • Work with developers to teach them / help them understand
  • Go-getter, can-do attitude, willing to ask questions
  • Familiarity with what data subject requests are
  • Flexibility jumping between tasks, manage high volumes
  • Certs: none particularly, looking for more of a privacy specialist


Job Summary:

  • A Data Analyst interprets data and turns it into information which can offer ways to improve a business thus affecting business decisions.
  • Data Analysts gather information from various sources and interpret patterns and trends as such a Data Analyst job description should highlight the analytical nature of the role.
  • Once data has been gathered and interpreted the Data Analyst will report back what has been found in a comprehensive study to the wider business/relevant colleagues.


Primary Responsibilities:

  • Collaborate to design and develop schemas and data acquisition transformations and data integration.
  • Develop and utilize software to interface big data and relational solutions.
  • Design and implement solutions for metadata data quality privacy management.
  • Support and consult with the development staff. Collecting and interpreting data Analysing results
  • Reporting the results back to the relevant members of the business
  • Identifying patterns and trends in data sets
  • Working alongside teams within the business or the management team to establish business needs
  • Defining new data collection and analysis processes


Qualifications:

  • Technical Degree or related work experience
  • Ability to analyse existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into non-technical lay terms.
  • High-level experience in methodologies and processes for managing large scale databases.
  • Demonstrated experience in handling large data sets and relational databases.

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