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Data Analyst (Apache Superset)

0 years

Gautam buddha nagar Uttar pradesh India

Posted:7 months ago

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Job Description

  • Work with FinTech orgnaization
  • Flexible work environment

About Our Client

This position is with a large organization operating in the Technology & Telecoms and FinTech sectors. The company is known for its innovative approach to analytics and its commitment to using data insights to drive business success.
  • Analyse large datasets to identify patterns, trends, and actionable insights.
  • Develop and maintain dashboards and reports for stakeholders.
  • Collaborate with cross-functional teams to understand data requirements.
  • Ensure data accuracy and integrity through validation and cleansing processes.
  • Utilise statistical tools and techniques for predictive analysis.
  • Support decision-making processes with data-driven recommendations.
  • Monitor and evaluate the performance of analytics initiatives.
  • Stay updated with the latest trends and tools in the analytics field.

The Successful Applicant

A successful Data Analyst should have:
  • A degree in statistics, mathematics, computer science, or a related field.
  • Proficiency in data analysis tools and software.
  • Strong analytical and problem-solving skills.
  • Experience in the Technology & Telecoms or FinTech industries.
  • Knowledge of data visualization techniques and tools.
  • An ability to work collaboratively with cross-functional teams.
  • Excellent attention to detail and commitment to data accuracy.

What's on Offer

  • Competitive salary package.
  • Opportunities to work in a leading Technology & Telecoms organization.
  • Inclusive and supportive work environment in Gautam Buddha Nagar.
  • Comprehensive benefits and leave policies.
If you are passionate about analytics and want to make an impact in the FinTech industry, we encourage you to apply for the Data Analyst role today.

Contact: Shailly Srivastava

Quote job ref: JN-012026-6927991

Skills Required

data apache technology analytics drive reports integrity support statistics mathematics analysis visualization

Work Mode

On-site

Job Type

Full Time

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