Description

You will drive data analysis and reporting using complex datasets, focusing on transformation, reconciliation, and financial data structures.

This role is hybrid.

Responsibilities

• Perform data transformation and reconciliation tasks for general ledger and sub-ledger structures.
• Query and display large datasets using SQL while optimizing workbook performance.
• Develop analyses using Python to address complex business questions.
• Manage and analyze financial statements and related data.

Required Skills

• 3+ years of hands-on experience with data transformation and reconciliation.
• Proficiency in SQL for querying complex data structures and large datasets.
• Expertise in Python coding for data analysis.
• Experience working with relational databases and large datasets.
• Proficiency in Excel.
• Experience with financial statements and general ledger/subledger data.
• Proven ability to use SQL to query and analyze complex data.

Preferred Skills

• Experience in the finance industry.
• Background in accounting.

Key Skills

Education

Any Graduate