Analyst- Data Collection

The iScale

India

On-site

INR 400,000 - 650,000

Full time

14 days+

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Job summary

The iScale in India is seeking a detail-oriented data analyst to collaborate with stakeholders, gather requirements, and design robust data collection processes across multiple sources. The role emphasizes accuracy, timely reporting, and adherence to guidelines.

You will extract data from PPTs, websites, and databases, identify outliers using checks, and prepare insightful reports for stakeholders. Join a fast-paced team focused on quality, SLAs, and continuous process improvements, reporting

Qualifications

  • Experience collecting and documenting requirements from stakeholders.
  • Experience extracting data from diverse sources like PPTs, websites, databases and reports.
  • Ability to identify data quality issues and outliers and apply checks.
  • Experience preparing and distributing reports to stakeholders.

Responsibilities

  • Collaborate with stakeholders to gather and document requirements.
  • Create data collection processes from multiple sources.
  • Extract financial and non-financial data from PPTs, websites, databases and reports.
  • Identify data quality issues and outliers using predefined checks.
  • Prepare and share reports with stakeholders.
  • Meet process SLAs and quality targets within deadlines.
  • Ensure guidelines are followed and documented.
  • Suggest improvements to make processes more robust.
  • Report on performance status and escalate issues to the team lead.

Skills

Stakeholder collaboration
Data quality analysis
Report generation
Requirements gathering

Education

Bachelor's degree in related field

Job description

  • Collaborate with stakeholders to understand and collect the requirements.
  • Responsible for creating processes around data collection from various sources.
  • Extract financial, non-financial data from various data sources like PPTs, websites, databases, financial reports, various charts/graphs, etc.
  • Identify potential mistakes and outliers in data based on defined data checks.
  • Prepare various reports on send them to stakeholders
  • Achieve process SLAs/metrics, productivity, and quality targets within the established timelines
  • Ensure process guidelines are followed and met as documented
  • Suggest enhancements to the process to make it more robust and efficient
  • Report to the team leader on performance status and any escalations
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