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This role involves managing end-to-end projects in Business Intelligence and Analytics, with a strong focus on technology. It includes collaborating with senior business leaders to prioritize immediate needs, plan future data pipelines and architecture, and oversee MIS and critical requests.
The purpose of the Data Engineering specialist is to build and unit test code for Projects and Programmes on Azure Cloud Data and Analytics Platform
We are looking for a customer-focused & business-oriented Data Scientist who will be responsible for conducting analyses using advanced statistics and data mining techniques to enable better decision-making.
As a Data Analyst within our Data & Analytics Team, you will be a crucial partner to the business. Collaborating closely with our business teams across divisions, you will leverage data to drive strategic decision-making and optimize operational efficiency.
Job Description: looking for a talented and experienced Senior Data Engineer with a strong expertise in Snowflake to join our team. As a Senior Data Engineer, you will play a critical role in the development and optimisation of data systems, data pipelines, and ensuring seamless data transformations to support business intelligence and data-driven decisions.
You will build and mentor a team of data scientists and machine learning engineers, collaborating closely with cross-functional teams to integrate AI models and analytics tools into our ecosystem. This role involves driving innovation in how we use AI and machine learning to automate and optimize the organisation's strategies.
As the Director of Data Management, your role would focus on overseeing how data is collected, managed, and used within the organization to drive business insights, ensure data quality, and support strategic decision-making.
Seeking a highly skilled and motivated Data Engineer The ideal candidate will have strong expertise in Python, Apache Spark, Apache Flink, BigQuery, Google Cloud Dataproc/ Databricks, and Confluent Kafka. Will be responsible for designing, developing, and optimizing large-scale data processing systems, enabling real-time and batch data workflows to support business intelligence and advanced analytics.
This role is responsible for leading global HR operations and analytics initiatives, managing data-driven L&D processes, and collaborating with stakeholders and vendors to deliver high-impact outcomes. It requires strong project management, analytical skills, and the ability to work seamlessly across diverse, multi-cultural teams.
The Head of Collections for Secured Business is responsible for leading and managing the collections function for secured loan portfolios (such as home loans, auto loans, etc.). This role ensures effective recovery strategies, minimizes delinquency, and maintains regulatory compliance. It involves overseeing collections teams, setting performance targets, managing vendor relationships, and using data analytics to optimize recovery efforts.
This role involves leading the development and maintenance of client and custom applications, contributing to technology solutions in the commercial insurance value chain.Positioned within the Data & Analytics division, the focus is on developing technology products for strategic clients Responsibilities include identifying, managing, and implementing digitization opportunities, and using data science to transform insurance experience.
The Data and AI Governance Leader, will play an integral role in orchestrating the governance council and ensuring compliance with governance policies in data, analytics, and AI. Their participation will be instrumental in defining a robust Data and AI Governance Framework, codifying organizational and industry policies into standards, procedures and technical controls ensuring effective, ethical, and legal use of Data & AI technologies
This position is responsible for to define and align analytics vision, manage execution of data initiatives, lead data talents, drive analytics maturity and ensure the business is powered by data solution. He/She will also facilitate analytics use-cases generation, lead selection and prioritization and oversee validation process. The position serves as an advisor to the leadership team.
Total Exp- 6+yearsKey Responsibilities:
Required Skills & Qualifications:
Good to Have:
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