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Data Analyst - Remote

Posted 5 days 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. Our data is used by our in-house teams to generate products for our end customers – institutional investors, brokers and wealth managers, among others. We manage the automated ingestion of data, as well as collect information manually. Everything we do helps to ensure the highest levels of data quality, completeness and timeliness. We recognize that data is a critical asset to every organization, and we view ourselves as stewards of that asset for CFRA.

In Short

  • Execute daily collection, cleaning, and validation of fund-related data.
  • Monitor and perform quality assurance on automated data ingestion.
  • Identify and address errors and inconsistencies in datasets.
  • Interact with a Scrum Team to resolve issues with automated processes.
  • Participate in expanding data collection efforts.
  • Assist in preparing comprehensive reports on key metrics and insights.
  • Respond to data-related inquiries from Senior Analysts.
  • Maintain documentation of data sources and processes.
  • Collaborate with data engineers to optimize data pipelines.

Requirements

  • Bachelor’s or master’s in STEM fields or Finance/Accounting.
  • 2-4+ years' experience in data, analytics or finance-related roles.
  • Familiarity with ETFs, Mutual Funds, or other financial instruments.
  • Detail-oriented and analytical nature.

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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