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Data Analytics Intern

Internship On Site (Internship) @Assurant in Data Science
  • Mumbai View on Map
  • Post Date : January 26, 2022
  • Apply Before : February 25, 2022
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Job Description

10%) Ensure change management and quality assurance practices are understood, adhered to, and leveraged to enhance system health and quality.
• Understand methodology, standards, policies and procedures and ensure that teams are complying with established standards.
• Design/develop solutions to business and technical requirements.
• Review quality requirements and establish or recommend appropriate measurement metrics.

(5%)  Lead, plan, and manage significant departmental, division, or enterprise projects in support of project objectives and deadlines.
• Provide project management services, providing budget and resource allocation and forecasting, financial tracking of resources, hours, and expenditures for teams, department, or projects, as needed.

15%) Direct efforts to ensure supported BI environments, Reports, Dashboards and Data Models are stable and highly available, cost efficient, and at an appropriate level of technical maturity.  Provide effective, flexible and secure BI solutions that support business strategy and operations.
• Ensure all supported  BI environments, Reports, Dashboards and Data Models are working accurately and as expected, that process and technology documentation is complete and accurate, and that appropriate disaster recovery procedures are developed and maintained for relevance.

(30%) Collect requirements from stakeholders and leverage knowledge of the key components and relationships of Assurant products, distribution channels, customer base, systems and data into solution designs for effective reporting.

• Foster and sustain open communication with business users and stakeholders.
• Provide training to stakeholder

40%) Implement and optimize visualization, dashboarding, reporting, process and analytical solution through standardization and automation by leveraging tools and proven methodology while using storytelling to drive business thinking.

·  Implement and optimize visualization, dashboarding, reporting, process and analytical solution through standardization and automation by leveraging tools and proven methodology while using storytelling to drive business thinking.

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