Data Analyst

125 years

0 Lacs

Posted:23 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyze data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decision and excel (can maintain complex spreadsheets), lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we've helped consumers and clients prosper, and economies and communities flourish – and we're not done. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, accomplished people and progress so we can help create a better tomorrow.

Key Responsibilities:

  • Design, monitor, and maintain batch data processing pipelines.
  • Analyze and validate large volumes of data from multiple sources.
  • Ensure data accuracy, consistency, and timely delivery to internal and external stakeholders.
  • Collaborate with cross-functional teams to understand data requirements and implement solutions.
  • Troubleshoot and resolve issues in batch jobs and data workflows.
  • Document data flow processes, logic, and business rules.
  • Support automation and optimization of batch processes using scripting and tools.
  • Perform root cause analysis for data discrepancies and recommend corrective actions.
  • Maintain compliance with data governance and security standards.

Qualifications

Required Skills & Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or related field.
  • 2–5 years of experience in data analysis and batch processing.
  • Proficiency in SQL and scripting languages (e.g., Python, Shell).
  • Excellent communication and documentation skills.
  • Ability to work independently and manage multiple tasks simultaneously.

Preferred Qualifications

  • Experience with cloud platforms (e.g., AWS, Azure, GCP).
  • Knowledge of data visualization tools (e.g., Power BI, Tableau).
  • Understanding of data warehousing concepts and tools

Additional Information

Benefits package includes:

  • Great compensation package and discretionary bonus plan
  • Core benefits include pension, Bupa healthcare, Sharesave scheme and more!
  • 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.
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