Data Analyst (Python/Java)

Madison-Davis

  • New York, NY
  • 29 days ago
  • $50 Per Hour

Highlights

The successful candidate will be comfortable working with both technical and non-technical stakeholders and will bring strong SQL skills, programming experience, and a resourceful approach to solving ambiguous problems. This role requires someone who can independently investigate business problems, translate requirements into practical data solutions, and contribute to reporting, automation, and internal technology projects.

Numbers & Facts

LocationNew York, NY

Description


Title: Data Analyst (Python/Java)

Office Status: Onsite New York, NY

Pay Rate: $50

Contract Length: Temp To Hire

ABOUT THE ROLE

A financial services organization is seeking a technically capable, hands-on data professional who can work across business requirements, analytics, programming, and technology initiatives. This role requires someone who can independently investigate business problems, translate requirements into practical data solutions, and contribute to reporting, automation, and internal technology projects.

The successful candidate will be comfortable working with both technical and non-technical stakeholders and will bring strong SQL skills, programming experience, and a resourceful approach to solving ambiguous problems.

RESPONSIBILITIES
  • Partner with business stakeholders to understand reporting needs, operational processes, and underlying business questions.
  • Translate business requirements into meaningful analyses, reporting solutions, dashboards, and data-driven recommendations.
  • Use SQL and Python to extract, transform, analyze, and validate data.
  • Apply Python and/or Java development skills to support data automation and technology initiatives.
  • Analyze datasets to identify trends, exceptions, business drivers, and areas requiring further investigation.
  • Own projects through the full lifecycle, from requirements gathering through development and delivery.
  • Identify opportunities to automate manual processes and improve the efficiency of data workflows.
  • Contribute to data pipelines, internal tools, APIs, and other technology-enabled solutions.
  • Build and maintain reports and dashboards independently.
  • Collaborate with technical teams and business users to resolve data and process issues.
  • Turn complex or ambiguous business problems into clear, actionable data solutions.
  • Support additional analytics, development, and technology projects as business needs evolve.

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