Tiger Analytics is looking for experienced Senior Data Analyst to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are looking for a Senior Data Analyst with strong experience in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will have hands-on experience working with Ab Initio for ETL, building data pipelines, 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
- Develop and maintain ETL pipelines using Ab Initio to process and transform large datasets.
- Write efficient SQL queries to extract, manipulate, and analyze data from multiple sources.
- Use Python for data processing, automation, and analytics.
- Work with AWS 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.
- Collaborate with data engineers, analysts, and business stakeholders to understand requirements.
- Ensure data accuracy, consistency, and governance across systems.
Requirements
- Strong programming experience in Python (Java acceptable).
- Hands-on experience with AWS cloud services.
- Experience building and supporting microservices architecture.
- Experience with Node.js for backend/API development.
- Exposure to Angular frontend framework.
- Strong understanding of REST APIs and distributed systems.
- Experience with CI/CD pipelines and DevOps practices.
- 10 years of experience in Data Analytics or Data Engineering roles.
- 5 years of experience with Ab Initio (ETL).
- Proficiency in Python for data analysis and scripting.
- Advanced SQL skills for querying and manipulating data.
- Hands-on experience with AWS Cloud services.
- Experience working with large datasets and data pipelines.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
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.
Top Skills
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.







