6 Enterprise Analytics Jobs

As an Analyst in Technology Strategy & Advisory at Accenture, you will have the opportunity to work with our most strategic clients to help them achieve exceptional business value through technology. You will be part of a dynamic team focusing on areas such as Agile, Cloud, Data AI, 5G, Digital Architecture, Security, and Transformation Management. With 0-4 years of experience, you will be based in one of the following locations: Gurgaon, Mumbai, Bangalore, Kolkata, Chennai, Hyderabad, or Pune. At Accenture, we offer a diverse and inclusive culture where you can be part of a global team dedicated to leveraging technology for large-scale transformation and innovation. In this role, you will be involved in redefining business models using agile methodologies and driving transformative strategic value for our clients. Your responsibilities will include identifying and solving complex business problems, managing major change programs, designing new business processes, and developing high-impact thought leadership. You should have a strong desire to work in technology-driven business transformation, a passion for technology trends, excellent analytical and communication skills, and the ability to build strong relationships with clients and internal stakeholders. With experience in consulting and knowledge of digital technology strategy, cloud, data/AI, enterprise architecture, and IT strategy, you will have the opportunity to work on transformative projects with key clients and shape innovative solutions using emerging technologies. You will also receive personalized training to enhance your skills and industry knowledge, as well as the chance to contribute to a culture committed to equality and collaboration.,

The Data Technical Consultant is an expert in technical and functional aspects of customer and partner engagements, leading to successful data management project delivery. As a Data Architect, you play a critical role in setting customers up for success by shaping and executing projects in the Salesforce data space. Your expertise in data management solutions ensures project success. With over 6 years of experience in complex data projects, including migrations, integrations, data architecture, and governance, you have the ability to translate high-level requirements into solutions without detailed specifications. Your proficiency with ETL tools such as SSIS, Boomi, or Informatica Power Centre, along with skills in Data Quality, Data Security, and Data Governance, sets you apart as a technology leader. You are adept at PL/SQL query writing, have a strong relational database background, and possess basic understanding of DBamp. Experience with tools like SF Data Loader, SOQL, and BI tools such as Tableau and Qlik is valuable. Knowledge in master data management, Salesforce.com, enterprise analytics, big data platforms, and CRM is preferred. Responsibilities include eliciting data requirements, data modeling, providing data governance leadership, conducting data audits and analysis, developing ETL processes, and driving technology architecture solutions. You will lead projects, mentor team members, and collaborate with cross-functional teams to deliver features. At the team level, you support career development, mentor team members, guide new hires, and motivate the team. You collaborate with clients, resolve technical dependencies, and drive common vision and capabilities across teams. Your role involves delivering Salesforce.com projects, participating in guilds, and ensuring alignment with company objectives. Other requirements include maintaining positive client relationships, adapting to challenging environments and timelines, willingness to learn new technologies, and strong communication and presentation skills. The ability to manage multiple projects, assess technical impacts, and provide constructive feedback is essential. Certification requirements include Salesforce Certified Administrator (201) and Salesforce Certified Sales Cloud Consultant or Service Cloud Consultant certifications.,

You will be responsible for establishing and managing the process designs and ARIS process maps for the People function. This includes partnering with the People functional and transformational teams to create industry-benchmarked process designs, reviewing and signing off detailed process artifacts as required, governing the process design to ensure adherence to legislation/policy guidelines and alignment with segregation of duties, driving key design decisions as a process subject matter expert, and supporting the deployment team on process design know-how. Additionally, you will support the Process Owners in creating colleague user personas & user experience maps across end-to-end processes, manage the design journey and project life-cycle in alignment with agreed criteria, drive business improvement initiatives from concept stage to closure using a robust project management framework, collaborate with wider teams to identify and deliver "future fit" solutions, and evolve the maturity of end-to-end processes. It is essential to follow the Business Code of Conduct, act with integrity and due diligence, and develop and coach a high performing team to enable them to excel. At Tesco, you can enjoy a unique, differentiated, market-competitive reward package based on industry practices. This includes performance bonuses, leave entitlements, retirement benefits, health and wellness programs, mental health support, financial well-being initiatives, employee share ownership programs, and physical well-being facilities on the green campus. Tesco in Bengaluru is a multi-disciplinary team focused on creating a sustainable competitive advantage by standardizing processes, delivering cost savings, enabling agility through technological solutions, and empowering colleagues. The Tesco Business Solutions (TBS) organization, established in 2017, is committed to driving scale and delivering value through decision science, supporting markets and business units globally. TBS aims to add value and create impactful outcomes that shape the future of the business, becoming the partner of choice for talent, transformation, and value creation.,

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

Position - Senior Software Engineer - Azure Stack (Enterprise Analytics & Data Science) Our Enterprise Analytics team is at the forefront of transforming data into actionable insights that drive strategic decisions across the organization. We are a collaborative, cross-functional group of engineers, data scientists, analysts, and architects who value: Innovation : We embrace new technologies and encourage experimentation to solve complex business problems. Ownership : Every team member is empowered to take initiative and drive projects from concept to production. Transparency : We foster open communication, regular knowledge sharing, and inclusive decision-making. Continuous Learning : We support professional development through certifications, tech talks, and hands-on learning. Impact : Our work directly influences enterprise-wide initiatives, from customer experience to operational efficiency. Youll be joining a team that believes in building with purpose , where engineering excellence meets data-driven strategy. Key Responsibilities: Design, develop, and deploy robust, scalable, and secure applications on the Azure platform. Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions. Implement CI/CD pipelines using Azure DevOps or GitHub Actions. Optimize application performance, scalability, and reliability. Ensure best practices in cloud security, monitoring, and cost management. Mentor junior engineers and contribute to code reviews and architectural discussions. Stay current with Azure innovations and recommend new tools and technologies. Required Qualifications: 6+ years of professional software development experience. 3+ years of hands-on experience with Azure services such as: Azure SQL, Cosmos DB, Azure Storage Azure App Services, Azure Functions, Azure Kubernetes Service (AKS) Azure Key Vault, Azure Monitor, Application Insights Strong proficiency in backend development using languages such as Python, Node.js, or Go . Experience with RESTful APIs , microservices architecture and cloud platforms (e.g., AWS, GCP, Azure). . Solid understanding of CI/CD pipelines , infrastructure as code (IaC) using ARM templates , Bicep , or Terraform . Proficiency in working with databases (SQL and NoSQL). Familiarity with containerization and orchestration (Docker, Kubernetes). Strong problem-solving skills and ability to work independently in a remote or hybrid environment. Preferred Qualifications: Microsoft Certified: Azure Solutions Architect Expert or Azure Developer Associate. Experience with Azure OpenAI , Azure Logic Apps , or Power Platform . Exposure to Agile/Scrum methodologies and tools like Jira or Azure Boards. Contributions to open-source projects or technical blogs. Minimum Qualifications Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

As the Head of Product for our client in the Technology, Information and Media industry based in Mumbai, you will be responsible for leading AI/ML and enterprise analytics initiatives. This role requires a strategic product leader with at least 8 years of experience and a strong technical background. Your main focus will be on developing AI-first solutions that revolutionize how businesses utilize data, by leveraging cutting-edge technologies such as large language models, generative AI, and real-time data intelligence. Your responsibilities will include defining and evolving the product strategy for AI/ML-powered tools, translating customer needs into product opportunities, and integrating frontier technologies into a cohesive product vision. You will lead the ideation, scoping, and launch of ML-driven features, collaborate with cross-functional teams, and drive customer-centricity through iterative feedback loops and product analytics. Additionally, you will mentor a product team, build internal alignment, and act as a thought leader both internally and externally. To excel in this role, you should have a Masters or PhD in Computer Science, Data Science, Machine Learning, or a related field, along with 8-12 years of experience in AI/ML, advanced analytics, or enterprise-grade data science platforms. You should possess a strong grasp of ML/NLP models, GenAI/LLM stacks, and experience working with scalable architectures. Furthermore, you should have 5+ years of product management experience, including 2+ years in a leadership role, with a proven track record of shipping AI-first B2B or enterprise products. Your business and communication skills should be exceptional, with the ability to tell compelling product stories, align stakeholders around a data-driven narrative, and translate technical outputs into user value and commercial impact. Experience with MLOps platforms, growth-stage startups, enterprise SaaS companies, and global data privacy frameworks would be considered a bonus. If you are passionate about innovation, execution, and impact, and have a strong background in AI/ML and product management, this is an exciting opportunity for you to lead transformative AI initiatives and make a significant difference in the world of analytics and enterprise solutions.,