Data Analyst (Ab Initio)

Tiger Analytics Inc. • McLean, VA

41d

About The Position

Tiger Analytics is looking for experienced 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 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.

Requirements

• 5 years of experience in Data Analytics or Data Engineering roles.
• Strong 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed