Partner with business stakeholders to gather, analyze, and document data requirements.
Perform data profiling, data mapping, and data quality assessments across multiple source systems.
Develop complex SQL queries and data models to support reporting, reconciliation, and analytical initiatives.
Work with Snowflake and Databricks to design, transform, and manage large-scale datasets.
Build and maintain Python-based data processing and validation workflows.
Analyze financial reconciliation data, including transactions, general ledger, accounts payable, procurement, and related financial datasets.
Identify data discrepancies and support reconciliation processes through root cause analysis.
Collaborate with business, data engineering, and technology teams to ensure data accuracy and consistency.
Support data governance, metadata management, and documentation activities.

6+ years of experience in Data Analytics, Business Intelligence, or Data Engineering roles.
Strong hands-on experience with SQL, Snowflake, Databricks, and Python.
Experience in data mapping, data profiling, data validation, and data quality management.
Mandatory experience working with financial reconciliation data.
Strong understanding of transaction-level data, general ledger (GL), procurement, accounts payable/receivable, and financial reporting processes.
Experience supporting finance, accounting, or enterprise reconciliation initiatives is highly preferred.
Experience working in cloud-based data environments.
Exposure to data governance and master data management practices.
Familiarity with financial controls, audit, or reconciliation frameworks.

Significant career development opportunities exist as the company grows.
Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment.
High degree of individual responsibility.

Data Analyst – Financial Planning and Analysis

Key skills