Job Description: Data Analyst (International B2B)

Hours: Monday – Friday, up to 45 (some hours outside of this as required)

Work hours: IST shift (5:30 pm to 02:30 am). Fixed shift

Location: Cerebrum IT Park, Kalyani Nagar, Pune

Position: Permanent position, with a three-month probation period

Salary: As per industry standards

Key Areas of Responsibility

  • Managing master data, including creation, updates, and deletion.
  • Managing users and user roles.
  • Assuring the quality of imported data, working with quality assurance analysts if necessary.
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analysis.
  • Managing and designing the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Evaluating changes and updates to source production systems.
  • Training end-users on new reports and dashboards.
  • Providing technical expertise in data storage structures, data mining, and data cleansing.

Qualifications for Data Analyst

  • Bachelor’s Degree in Mathematics or Computer Engineering
  • 2+ years of Data mining experience
  • 4+ years in a data analyst role
  • Ability to collaborate effectively and work as part of a team.
  • Strong attention to detail. A proven track record of developing and implementing IT strategies and plans.
  • Strong knowledge of implementing and effectively developing helpdesk and IT operations best practices, including expert knowledge of security, storage,data protection, and disaster recovery protocols.
  • Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications. Proficiency in statistics, data analysis, and research methods.

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