Analytics jobs in India

The role is a pivotal position in the organisation, requiring a dedicated professional adept at monitoring and driving initiatives to control costs across business verticals working within the CFO's Office.

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.

Build and maintain data platform for the organization

• Lead advanced analytics initiatives focused on predictive and demand forecasting, market mix modelling (MMM), and business insights.
• Engage with cross-functional teams and senior leadership to drive data-backed decision-making

Setup the analytics and digital transformation frameworks to help organisation with their transformation goals with a specific focus on Manufacturing and Supply chain.

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.

• 6+ years of experience in Business Intelligence and data analysis.
• 3+ years of hands-on experience developing solutions using Power BI.
• Expert-level DAX knowledge with proven experience in optimizing complex queries.

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

This position involves the management of HR Operations and Analytics, with a particular focus on streamlining processes and leveraging data to drive strategic initiatives within a financial services setting. The successful candidate will have a unique blend of business focus, strong analytical and problem-solving skills and programming knowledge to enable efficient HR operations.

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.

The Senior Demand Planner Analyst must demonstrate the ability to effectively lead their respective staff in properly plan for shifts in consumer purchasing, while optimizing product inventory levels. Product forecasting will be managed in Relex (inventory planning system), interfacing with Merchants and Vendors for their assigned area of business, ensuring proper planning for item introductions, promotions, item discontinuation, and more.

Lead the design and continuous improvement of Data Science programs, ensuring academic excellence and industry relevance. Manage and mentor faculty, delivered impactful sessions, and represent Hero Vired at conferences and external forums. Further, establish and uphold academic rigor and delivery excellence across diverse learning formats (online, hybrid, live).

• End-to-end ownership of digital and AI transformation across functions
• Direct collaboration with CXOs and business heads on high-visibility programs
• Opportunity to build and scale an intelligent AI ecosystem in partnership with Heads of Data, Analytics,

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.

This role involves spearheading transformation initiatives within the industry to align business processes with strategic goals. As a Transformation Manager, you will collaborate across departments to drive innovation and process improvements in a manufacturing environment.

Your Responsibilities

• Develop, optimize, and deploy embedded machine learning models.
• Ensure performance, memory optimization, and energy efficiency of AI solutions.
• Integrate ML algorithms with embedded controllers and edge computing platforms.
• Collaborate closely with automation and software engineers to translate AI solutions into production-grade embedded systems.

Our Requirements

• Degree in Computer Science, Electrical Engineering, or related field.
• Strong proficiency in Python, C/C++, and embedded programming.
• Experience with embedded ML frameworks (e.g., TensorFlow Lite, ONNX, Edge Impulse).
• Understanding of real-time embedded systems and microcontroller architectures.
• Minimum of 2 years of relevant experience with Embedded Systems and AI/ML

Job Location: Bengaluru, India
Job Type: Full-time
Experience: 2+ years

As the Head of AI, you'll be at the forefront of developing advanced AI systems across NLP, Computer Vision, and Recommendation Engines, all while leading and mentoring a world-class team

3+ years of Proven experience in developing dashboards using Tableau, with a strong passion for data analysis and Excellent communication skills and hands-on expertise in Python.

• Lead and manage the delivery of data projects, ensuring timely execution and quality standards.
• Collaborate with business and technical teams to define project scope, timelines, and milestones.

This role requires a highly organized and experienced individual to lead and manage complex data-centric programs, incorporating strong change management principles and process analysis capabilities. The Data Program Owner will oversee all aspects of data initiatives, from inception to completion, ensuring projects are delivered on time, within budget, and meet business objectives.

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

- Working on AI strategy and Thought Leadership

1. Lead AI & data strategy development help clients right from national governments to leading non-profits set AI visions and identify use cases.
2. Build and deploy AI prototypes and digital solutions in areas like climate, health care, education, and financial inclusion.

Data Scientist support team and Global operations. The ideal candidate will be responsible for developing and maintaining dashboards, analysing data patterns, and forecasting business trends to drive data-based decision-making.

In this role, you will lead the innovation and support of our dynamic pricing program, directly impacting growth, profitability, and overall efficiency.

Work with cross-functional & cross-regional teams for data analysis, monitoring and forecasting, creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience.