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.