Data Analyst: Migration & BI Analytics for Finance

Synechron

New York (NY)

On-site

USD 140,000 - 160,000

Full time

12 hours ago
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Benefits offered by this job

Global offices
Training programs
Udemy access
Healthcare
Retirement plans
Paid leave
Commuter benefits

Job summary

Synechron is seeking a Data Analyst to join our Investment Banking (IB) Reporting team, focusing on data migration and reconciliation projects. The role supports migration from legacy reporting platforms to modern systems and ensures data accuracy for dashboards and reports.

The ideal candidate has strong data understanding, experience with BI reporting (Power BI, Cognos), data warehousing (Snowflake), SQL, and automation testing.

Qualifications

  • Strong data understanding and analysis skills.
  • Experience in BI reporting and analytics (Power BI, Cognos).
  • Hands-on experience in Data Warehousing and Snowflake.
  • Hands-on experience with Automation Testing.
  • Hands-on experience in data migration and reconciliation.
  • Good knowledge of SQL and data validation.
  • Exposure to automation initiatives / process improvements.
  • Strong communication skills and a proactive approach.

Responsibilities

  • Migrate data from legacy reporting platforms to modern systems.
  • Perform data reconciliation and ensure data accuracy for reports.
  • Support dashboarding and reporting needs acrossIB.Reporting.
  • Drive improvements through automation and efficiency initiatives.

Skills

Data understanding
BI reporting
Data Warehousing
Automation Testing
Data migration
SQL
Automation initiatives
Communication
Proactive approach

Tools

Power BI
Cognos

Job description

Synechron is seeking a Data Analyst to join our Investment Banking (IB) Reporting team, focusing on data migration and reconciliation projects. The role supports migration from legacy reporting platforms to modern systems and ensures data accuracy for dashboards and reports.

The ideal candidate has strong data understanding, experience with BI reporting (Power BI, Cognos), data warehousing (Snowflake), SQL, and automation testing.

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