Senior Associate | Engineering, AI & Data - Engineering | Data Analyst
• Job requisition ID : 106358
• Location: Bengaluru
• Entity: Deloitte Touche Tohmatsu India LLP
Senior Associate | Engineering, AI & Data - Engineering | Data Analyst
Location: Bangalore
The team
Engineering helps Reimagine and re-engineer mission-critical operations and processes; Leverage engineering-led design, deep industry knowledge, and AI and data-driven insights to transform the technology platforms at the heart of business.
Working alongside team, we empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. Learn more about Engineering, AI and Data
Your work profile
A data analyst who can process required data from vehicles (field data / development vehicle data) and analyse as per the use cases by using various data visualization techniques. Build tools.
Key skills required
- Education – Any bachelor’s or master’s degree
- Analysis of field car data, time series data
- Usage of different data pipelines and get required data
- Collaboration with data pipeline owners and data engineers
- Data cleaning and plausibility checks
- Creating gold and silver layers of data for analytics
- Integrated NLP pipelines to improve contextual comprehension of diverse documents
- Automated data extraction for faster workflows in document-heavy environments.
- Statistical analysis as per the requirement
- Build and maintain dashboards
- Building suitable tools for scaling data analytics methods
- Collaborating with Global stakeholders and Product owners
- AI-powered lead management system that automates business contact discovery by leveraging
- intelligent web search capabilities to identify and retrieve phone numbers, streamlining the lead qualification
- process and reducing manual research time by enabling automated prospecting at scale. Image preprocessing and augmentation to enhance model robustness.
