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Data Analyst - Remote

Posted 18 hours ago
Data Analysis
Full Time
India

Overview

The Data Collection & Management team at CFRA is responsible for collecting and managing various forms of financial data to ensure the highest levels of data quality, completeness, and timeliness.

In Short

  • Execute daily collection, cleansing, and validation processes of ETF data.
  • Perform region-specific data completeness checks.
  • Monitor and perform quality assurance on data ingested via automated processes.
  • Identify, investigate, and resolve data discrepancies.
  • Collaborate with cross-functional teams to resolve data issues.
  • Monitor automated workflows for failures in data processing.
  • Assist in preparing reports on incident reporting and Root Cause Analysis.
  • Respond to data-related inquiries from Senior Analysts.
  • Maintain documentation of data sources and processes.
  • Support ad-hoc data requests and dataset enhancements.

Requirements

  • Bachelor’s or master’s in Science, Technology, Engineering, Mathematics, Finance, or Accounting.
  • 2-4+ years' experience in data, analytics, or finance-related roles.
  • Familiarity with ETFs, Mutual Funds, and financial instruments.
  • Detail-oriented and analytical nature.
  • Hands-on experience with ETL operations.
  • Knowledge of SQL.
  • Experience in managing large datasets.
  • Excellent communication and interpersonal skills.
  • Problem-solving and decision-making capabilities.
  • Ability to work independently and think creatively.

Benefits

  • 21 days of Annual Vacation.
  • 8 sick days.
  • 6 casual days.
  • 1 paid Volunteer Day.
  • Medical, Accidental & Term Life Insurance.
  • Telehealth, OPD.
  • Competitive pay.
  • Annual Performance Bonus.
CFRA logo

CFRA

CFRA is a leading global independent financial insights and information company that specializes in providing data-driven solutions to help businesses make informed decisions. With a focus on innovation, CFRA leverages modern cloud-native technology stacks and advanced data science techniques to develop robust data processing software. The company values collaboration and aims to create a significant impact through its technology-driven approach, ensuring that its teams are equipped to address complex business challenges effectively.

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