Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasetsJob Duties: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.Requirements6+ 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.BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.
We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets
Job Duties:
- 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.
Requirements
- 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.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
