India, Sri Lanka, Bangladesh, Nepal and Pakistan - on-site, hybrid and remote roles.
167 jobs found · India & South Asia
Bangalore, IndiaIndia & South Asia
As a Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization.
This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the…
Hyderabad, IndiaIndia & South Asia
Equity and SBC accounting and reporting for every quarter, preparing Cap Labor details and assisting in Direct Taxes calclations
Bangalore, IndiaIndia & South Asia
As a Senior Data Platform Engineer, you will build and operate the data infrastructure that supports Zeta’s products, analytics, machine learning, and AI systems.
Bengaluru, IndiaIndia & South Asia
We are looking for a Senior Salesforce Product Analyst to join the TDI team and help scale our internal systems with a focus on security and reliability.
Bangalore, IndiaIndia & South Asia
We are seeking an experienced MDM Product Data Analyst to support the management, quality, We are seeking an experienced MDM Product Data Analyst to support the…
Bangalore, KarnatakaIndia & South Asia
This person will be responsible for driving the analytics behind these questions for User Lending - creating analytical frameworks, developing high quality analysis…
We are looking for sharp, analytical and growth oriented professionals who can solve complex problems in a structured manner, have experience of working in cross…
Hyderabad, IndiaIndia & South Asia
We are looking for a seasoned IC5 Senior Staff Engineer with deep expertise in distributed systems and Data Lake architectures to drive next‑generation platform…
Remote · Remote - IndiaIndia & South Asia
Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.)
Remote · Remote - IndiaIndia & South Asia
Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.)