Lead Data Analyst

About

We are looking for a Lead Data Analyst with strong experience in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will have hands‑on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision‑making.

This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross‑functional teams in a fast‑paced environment.

Key Responsibilities

• Partner with business stakeholders to understand and translate business needs into solution requirements.
• Write efficient SQL queries to extract, manipulate, and analyze data from multiple sources.
• Use Python for data processing, automation, and analytics.
• Work with AWS /GCP/ Azure cloud services to manage and analyze data in cloud environments.
• Perform data validation, quality checks, and troubleshooting for data pipelines.
• Build reports, dashboards, and insights to support business decisions.
• Facilitate large stakeholder groups and manage the complete requirements lifecycle.
• Conduct structured analysis using both quantitative and qualitative techniques.
• Profile data manually and document transformation logic and rules.
• Produce clear and concise Source to Target Mapping Documents with detailed Data Mapping Requirements.
• Collaborate effectively within an Agile environment.
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements.
• Ensure data accuracy, consistency, and governance across systems.

Required Skills

• 10 years of experience in Data Analytics in Business Analytics / Consulting roles.
• Strong expertise in SQL for querying and manipulating large datasets.
• Proficiency in Python for data analysis and scripting.
• Experience with data visualization tools (Power BI, Tableau, Looker, etc.).
• Experience working in a client-facing or consulting environment.
• Hands‑on experience in data analysis, data profiling, and exploratory analysis.
• Hands‑on experience in analyzing, identifying, and documenting transformation logic and rules.
• Good to have experience on Snowflake or Databricks.
• Excellent teamwork and problem‑solving abilities.
• Experience working in an Agile environment.
• Knowledge of Data Modeling and exposure to Data Modeling Tools is a plus.

About the Role

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.