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.
Skills Required
- 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 (transactions, ledger, procurement datasets)
- Strong understanding of transaction-level data, general ledger, procurement, accounts payable/receivable, and financial reporting processes
- Experience supporting finance, accounting, or enterprise reconciliation initiatives
- Experience working in cloud-based data environments
- Exposure to data governance and master data management practices
- Familiarity with financial controls, audit, or reconciliation frameworks
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
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Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
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Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
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Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
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