Analytics jobs in India

• Handles projects aimed at implementing, customizing, and personalizing analytics.
  Perform strategies and planning that are consistent and ensure that data collecting is in line with the priorities of the client.
• Recommends procedures for platform integration that guarantee data flow between systems is unimpeded. Deploy third party tags like Google Floodlight on the website.

Looking for hands on experience in Azure Data Lake( Enterprise level) along with experience in predictive modelling techniques, data visualization tools, exposure to SAP integration and team handling experience.

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

The 'SVP Platform Analytics and Surveillance Operations' will lead the technology department within the investment banking division and drive strategic tech initiatives.

This is part of the D&A Insights team for the client. Majority of the work would be into production support, incident handling, ticket resolutions, enhancing the existing projects and capabilities with respect to Data Analytics. We are looking for a leader with 14-18 years of experience and good experience into Managed Services teams and organisations. THIS ROLE WILL BE BASED ON US TIMINGS AND WILL HAVE ROTATIONAL SHIFTS.

This role is a key leadership position where you will be responsible for defining and executing the software engineering and analytics strategy for a truly global company.

We are seeking a highly skilled Senior Developer with expertise in end-to-end implementations. The ideal candidate will work in our Bengaluru office and follow a hybrid working model which is currently being followed by the team. The Senior Developer will be responsible for working with cross-functional teams to develop, implement, and maintain solutions that meet customer needs and business objectives.

The ideal candidate will drive AI vision and strategy, while also diving deep into the realm of real-time
sports analytics.

Lead the Data Science charter by innovation and POC deployment

The MDM - Tower Lead (Master Data Management) is responsible for managing the day-to-day operations of the Master Data Management (MDM) team and spearheading various data-related projects.

• Gain deep understanding of the model inventory and the model risk management framework and life cycle of the client
• Validate CCAR Stress Testing for PPNR, balance sheet, scenario design and loss forecasting models used for internal risk management and provisioning as well as regulatory submissions

- Working on extracting data insights for the entire organisation using analytics

The Manager/Sr Manager of Data Engineering will lead a team to develop, test, and maintain data architectures in the life science and pharmaceutical industry.

The position will be accountable for managing existing team of data science in developing analytical models and algorithms. The role will also require the individual to drive the data strategy and create optimal data science solutions for the company.

As Manager, you will play a key leadership role in the strategy and execution of automated evidence-generating studies.

You will lead a team of clinical data analytics engineers through the design and implementation of data pipelines to acquire, process, and review complex clinical data from sites participating in clinical studies.

• Advanced knowledge of data security
• Excellent communication skills toward facilitating the use of a new software system
• Strong data-gathering and analysis skills
• Strong technical understanding of business analysis frameworks and business processes
• Good understanding of SQL
• Proven ability to integrate into a team and build relationships with senior leaders and managers
• Identifying functionalities and system efficiency by working with end users, and internal department

Skilled in web technologies and core architecture such as JAVA 8+, Spring Boot Micro-services (RESTful webservices), Kafka, Spark for distributed data, event driven architecture and workflow orchestrationProficient in CI/CD using Jenkins and Gitlab

The Data Architect will be responsible for designing enterprise data management frameworks, ensuring data security and compliance, implementing data management processes, build data models and strategies to support various business needs and initiatives.

The Director (AI) will lead the Artificial Intelligence team, shaping the company's vision for AI integration within Mixed Reality (MR) experiences. He/She will be responsible for building a high-performing team, defining the AI strategy, and driving the development and implementation of AI solutions across its product portfolio.

As Manager - Digital Finance, your main role will be to lead and oversee the digital transformation efforts within the Accounting & Finance department of a leading industrial manufacturing firm.

Responsible for designing, developing, and maintaining robust Data Engineering solutions that provide actionable insights to various stakeholders in the commercial organization

The business analyst role involves managing financial planning and analysis while providing strategic insights to drive business growth.

Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution

To design, develop, implement AI algorithms in an embedded/cloud environment

• Define and manage execution of the Research Group's business strategy including target definitions, growth areas and business plans.

You will provide deep technical expertise in AI technologies and influence cross functional teams to build sophisticated AI applications

• Design & develop business intelligence (BI) dashboard & reports for Finance & Operations
  function.
• Develop & maintain complex financial models and forecasts using Power BI.
• Translate business needs into technical specifications and design Power BI dashboards &
  reports.

Looking for a Senior Data Scientist as a part of our Data Science team, who will be responsible for working on various Data Asset projects and developing Data Science solutions

• Act as a point of contact for valuation related deliverables for internal and external stakeholders.
• Support Fund operation activities across various functions in particular valuation for seamless business execution.
• Provide technical guidance and support for reporting & Fund analytical activities.
• Ensure the investment teams and senior management are regularly updated on key Fund operational issues & developments.
• Act as a business partner to key stakeholders across the firm.
• Proactively work alongside the Team Lead to develop initiatives that align with the organization's vision and priorities

Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics