Open jobs in India: on-site, hybrid and remote.
14 jobs found · India
bengaluru, IndiaIndia & South Asia
BGSW is seeking a Sr Analyst – Innovation & Portfolio to support the management of its innovation portfolio.
bengaluru, IndiaIndia & South Asia
This role will focus on concept creation, venture building, market validation, and the development of strategic innovation bets within a dedicated technology domain. The…
Hyderabad, IndiaIndia & South Asia
Lead the strategy, engineering, and operations of enterprise data platforms, ensuring scalable, secure, and reliable services
Mumbai, IndiaIndia & South Asia
We are looking for a Risk Analyst – Data Science & Analytics to join our Analytics Product & Innovation team.
Mumbai, IndiaIndia & South Asia
In this role, you will leverage machine learning, bureau and alternative data, and risk analytics expertise to drive underwriting, decisioning, and portfolio management…
We are looking for a hands-on SDE-II – Data Engineer to join InMobi’s Demand-Side Platform (DSP) team. This role is ideal for an engineer with strong fundamentals in…
Bengaluru, KA, IndiaIndia & South Asia
Cost Management: Co-ordinate & link information across functions to work out &administer the Plant Performance based on business planning Cost Estimation: Working out…
Bengaluru, KA, IndiaIndia & South Asia
Work with operations, partner management and business teams to provide analyse and report plans vs actuals on regular basis; Present entity performance dashboards…
bangalore, IndiaIndia & South Asia
We are seeking a 12+ experienced Data Architect with strong expertise in Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, SQL Data Warehouse, and…
Finance BI team is part of FP&A and is responsible to upscale the organization towards data driven strategic decision making by adding the intelligence layer on top of…
bangalore, IndiaIndia & South Asia
Data Analytics/Pyspark/Azure data bricks
bengaluru, IndiaIndia & South Asia
Strong programming fundamentals in Python and experience working with structured and large-scale datasets.