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As a Google Analytics Specialist, you will be responsible for leveraging data and insights from Google Analytics to drive data-informed decisions and enhance the performance of digital assets, websites, and marketing campaigns. Your role will involve implementing, configuring, and analyzing Google Analytics to provide actionable recommendations that optimize website performance and achieve business objectives.
Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
We are seeking a candidate with a strong background in HR Analytics, proficient in utilizing platforms such as Tableau, Power BI, and SuccessFactors. Candidates with a proven track record in managing substantial HR datasets and diverse HRMS platforms like SF, Zoho, and Workday, with additional advantageous experience in SAP Analytics and Macros will be preffered.
Our Client is looking for someone to drive business growth by providing valuable consumer and customer insights. You will lead a team responsible for conducting market research, analyzing consumer and customer behavior, and understanding customer preferences to support data-driven decision-making across various departments.
The Client is looking for an Analytics Lead/Data Scientist to analyze large amounts of raw information to find patterns that will help improve the company's operations. This position will lead the building of data products to extract valuable business insights.
Responsible for designing and implementing overall Risk and Analytics strategy to enable business growth, by discovering new opportunities through analytics.The role requires someone to deep dive into the Risk & Analytics aspect of lending business and work towards scaling the business with the co-founders.
The role of the Digital Lead Science Operations, Insights & Data Intelligence responsible for providing global strategic leadership to support business operations decision-making through collaborative partnerships with cross-functional stakeholders to enable digital Science teams to identify, prioritize and execute projects that increase and accelerate efficiencies, and reduce redundancy.
- Be part of/lead a core NLP team- Ensure that NLP systems are scalable, reliable, and secure (Deploy in real world - large scale - secure and reliable way - very direct impact on hospital systems)
You will be responsible for generating insights and presenting to business heads
In this role, you will have an opportunity to digitize all Marketing's business processes and develop solutions that provide Insights through data. An ideal candidate will have strong intellectual curiosity, subject matter expertise in solutioning for Marketing, strong team leadership, and executive presence
Work with one of the top logistics MNC to transform the digital experience
This role is primarily responsible for designing, building, managing, and operationalizing data pipelines in support of key data and analytics use cases. Candidate will be accountable for guaranteeing compliance with data governance, data privacy, and data security requirements.
- provide deep technical expertise in AI technologies and influence cross functional teams- be member of the AI leadership team
Working with the co-founder for Data science soliutions.Handle projects end to end.
Data Architecture Design: Develop and implement robust data architectures for managing structured and unstructured data across the enterprise.Design scalable and efficient data storage solutions to support the product life-cycle, ensuring optimal performance and reliability.
- Leading a small AI CoE- Working on understanding current trends in the market and making a use case out of the same
Responsible 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
- Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools)- Implementation of scalable and efficient MLOps infrastructure, tools, workflows
Define the data science and analytics strategy and manage the roadmap to support the Medical Insights team, both through ad-hoc projects, as well as new features for the client's text analytics platform with a focus on maximising findings from data.
Extensive market research and product innovation to keep the company ahead of the competitors in product offerings.
The incumbent will play a crucial role in combining deep data science expertise with strong business acumen. This role involves leading the data science team, driving data-driven decision-making across the organization, and aligning data strategies with business goals.
This role contributes to the construction of the development data fabric and data strategy. This role will interact with architects, engineers, data modelers, product owners as well as other team members in Clinical Solutions and R&D
As a Sr. AI/ML Engineer, you will work as a machine learning subject matter expert to differentiate Google Cloud to our customers and will help them to leverage specialized machine learning (ML) hardware developed by Google.
As Senior Data Engineer - GCP, you will be designing and developing complex and large-scale data structures and pipelines to organize, collect, and standardize data to generate insights and address reporting needs.
A senior manager with a leading AI and analytics company
A company secretarial manager with a leading AI and analytics company
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