11 Cloud Analytics Jobs

As an APAC Director of Analytics & Insights Transformation at NTT DATA, your role is pivotal in engaging clients across targeted verticals to address their pains and realize their ambitions in the realm of analytics & insights. You will support client managers in various key areas including Account Planning, Opportunity Seeding, Opportunity Strategy & Execution, Portfolio Ideation, and In-Contract Innovation Strategy. Your responsibilities will involve understanding clients" enterprise-wide landscape, pains, and ambitions to identify solutions that align with their needs. You will play a crucial role in creating client awareness and interest in NTT DATA's portfolio offers, collaborating with solution and technical architects to develop multi-domain solutions, and optimizing value and costing to win deals. Additionally, you will share client needs with service divisions to enhance portfolios, track bookings growth, and define innovation strategies for ongoing client delivery. To excel in this role, you must possess expertise in industry value chain, client pains & ambitions, and business and IT practices related to insights and analytics. Strong analytical skills, knowledge of traditional and emerging technologies in data analytics, and the ability to translate complex data findings into actionable insights are essential. You should also be able to collaborate effectively with internal teams, create compelling presentations for clients, and have a deep understanding of NTT DATA's portfolio to position its value and differentiators effectively. The qualifications and experience required for this role include a Bachelor's degree in engineering, computer science, or a technology discipline, along with a total experience of 15+ years and 5+ years specializing in systems of insights. A master's degree in business management or executive management programs in business is preferred. Experience in machine/deep learning, artificial intelligence, big data, data science, cloud analytics, and data modeling in specific verticals such as FSI, manufacturing/auto, retail, and healthcare is crucial. NTT DATA, a trusted global innovator of business and technology services, is committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we invest significantly in research and development to support organizations in moving confidently into the digital future. Join us at NTT DATA and be part of a diverse team of experts working towards a sustainable and digitally transformed world.,

Job description: "We seek a dynamic IT Presales Specialist with Cloud, Analytics, and AI expertise to join our team. As a part of our sales team, you will be responsible for engaging with clients, understanding their business needs, and crafting innovative solutions leveraging Cloud, Analytics, and AI technologies. Your primary goal will be to drive revenue growth by effectively articulating the value proposition of our offerings and guiding clients through the sales process" Job Description: Engage with the clients to understand their business challenges, needs, and Objectives. Design tailored solutions that address their specific Services requirements. Creating compelling proposals in response to RFPs that effectively communicate the value proposition of our offerings. Work with the sales team to generate and qualify leads. Conduct presentations and demonstrations to showcase the capabilities of our Cloud, Analytics, and AI solutions. Stay updated on the latest trends and developments in Cloud, Big Data, Analytics, and AI. Build and maintain strong relationships with key stakeholders Analyze customer feedback and market data to identify enhancements or new offering opportunities. Could you collaborate with our internal technical teams to make sure that the proposed solutions align with best practices and industry standards? Share insights and recommendations with internal teams to drive continuous improvement. Requirements Storng Technical Skills Needed Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred. Proven experience in IT presales, consulting, or a technical sales role, with a focus on cloud and data analytics solutions. Strong understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and Analytics & Machine Learning Excellent communication and presentation skills, with the ability to effectively convey complex technical concepts to non-technical audiences. Demonstrated ability to collaborate across teams and work in a fast-paced, dynamic environment. Strong analytical and problem-solving skills, with a keen attention to detail. Relevant certifications (e.g., Microsoft Azure, Google Professional Data Engineer) preferred.

As a senior consultant in the SAP Data Management and Landscape Transformation (DMLT) team at SAP, you will play a crucial role in delivering national and international projects to help customers transition to SAP S/4HANA and make planned changes in their SAP applications and system landscapes. Your responsibilities will involve identifying customers" comprehensive business needs, designing suitable solution proposals from the DMLT Portfolio and beyond, and leading workshops and discussions to finalize the best solution design for the customers" requirements. You will be working closely with a global team to deliver DMLT services projects both remotely and onsite, collaborating with regional and global teams to define solution approaches and business blueprinting for data migration projects. Your role will also include conducting feasibility studies, system analyses, and continuously enhancing the DMLT solution design based on changing market requirements. Collaboration will be a key aspect of your job as you engage with individuals in various roles, locations, and expertise levels, including customer engagement leads, developers, product owners, solution architects, and sales teams. Building and maintaining trustworthy relationships with both external customers and internal SAP colleagues will be essential to drive customer opportunities across all engagement phases, including presales, sales, and delivery. To excel in this role, you are expected to continuously learn about new technologies and solutions, demonstrate a strong team player attitude, think innovatively, and communicate effectively with customers and stakeholders to ensure successful project implementations. Your qualifications should include a minimum of 6 to 8 years of relevant work experience as a Consultant or Solution Expert of SAP software solutions, along with knowledge in areas such as SAC Dashboarding, HANA Modelling, S/4HANA Analytics, and data migration technologies. Additionally, having project management, enterprise architecture, and business consulting skills, as well as a bachelor's degree in computer application or MCA from a recognized institution, are required qualifications for this role. Architectural knowledge of SAP Analytics solutions deployment modes and experience in executing data migration projects using SAP Landscape Transformation capabilities would be advantageous. At SAP, we foster a culture of inclusion, prioritize health and well-being, and offer flexible working models to ensure that every individual, regardless of background, feels valued and empowered to perform at their best. We are committed to creating a diverse and equitable workplace where all talents are unleashed, and every employee has the opportunity to reach their full potential. SAP is an equal opportunity employer and believes in providing accessibility accommodations to applicants with disabilities. If you require assistance during the application process, please reach out to the Recruiting Operations Team at Careers@sap.com. Join us at SAP to be part of a purpose-driven, future-focused team that values collaboration, personal development, and innovation.,

Dear Candidate, We are hiring a Cloud Analytics Engineer to design and build scalable analytics solutions on cloud platforms. This role supports data-driven decision-making by leveraging cloud-native tools and data engineering practices. Key Responsibilities: Develop data pipelines and ETL/ELT workflows on cloud platforms (e.g., AWS, Azure, GCP). Design and implement scalable data lakes and warehouses. Build and optimize analytics solutions using tools like BigQuery, Redshift, Synapse, or Snowflake. Integrate data from multiple sources and ensure data quality. Work closely with data analysts, scientists, and business teams. Required Skills & Qualifications: Experience with cloud data services (AWS Glue, Azure Data Factory, GCP Dataflow). Strong SQL and programming skills (Python, Scala, or Java). Proficiency in data modeling and performance tuning. Familiarity with BI tools (Power BI, Looker, Tableau). Cloud certifications related to data engineering or analytics preferred. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: SNOWFLAKE ADMINSNOWFLAKE DEVOPS Technology->Data on Cloud-DataStore->Snowflake Preferred Skills: Technology->Data on Cloud-DataStore->Snowflake

Hi all, We are hiring for the role Cloud Data Engineer Experience: 7 - 9 years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Overall, 7 to 9 years of experience in cloud data and analytics platforms such as AWS, Azure, or GCP • Including 3+ years experience with Azure cloud Analytical tools is a must • Including 5+ years of experience working with data & analytics concepts such as SQL, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing • Including 3+ years of experience working with general IT concepts such as integrations, encryption, authentication & authorization, batch processing, real-time processing, CI/CD, automation • Advanced knowledge of cloud technologies and services, specifically around Azure Data Analytics tools o Azure Functions (Compute) o Azure Blob Storage (Storage) o Azure Cosmos DB (Databases) o Azure Synapse Analytics (Databases) o Azure Data Factory (Analytics) o Azure Synapse Serverless SQL Pools (Analytics) o Azure Event Hubs (Analytics- Realtime data) • Strong coding skills in languages such as o SQL o Python o PySpark • Experience in data streaming technologies such as Kafka or Azure Event Hubs • Experience in handling unstructured streaming data is highly desired • Knowledge of Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing Dimensions • Broad understanding of data engineering methodologies and tools, including Data warehousing, DevOps/DataOps, Data ingestion, ELT/ETL and Data visualization tools • Knowledge of database management systems, data modelling, and data warehousing best practices • Experience in software development on a team using Agile methodology • Knowledge of data governance and security practices If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Your role and responsibilities As Consultant you will serve as a client-facing practitioner who sells, leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. You will work developing solutions that excel at user experience, style, performance, reliability and scalability to reduce costs and improve profit and shareholder value Your primary responsibilities include: Build, automate and release solutions based on clients priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions. Make sure that all integration solutions meet the client specifications and are delivered on time Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Expertise in Oracle Cloud HCM Technical. Completed at least 3-4 full life cycle implementations of HCM Cloud projects with HCM Technical in 2 projects. Fast Formula and HCM Extract is Mandatory. BI/OTBI, HDL & HSDL is Mandatory. Need to have consultative skills, and technical knowledge to effectively integrate packaged technology into our clients business environment and achieve business results Preferred technical and professional experience Excellent written and verbal interpersonal skills for coordinating across teams. Personalisation is desirable and Core HR (Basic). Certification in Cloud is an advantage

Dear Candidate, Seeking a Cloud Governance Analyst to ensure cloud usage aligns with internal policies and regulatory requirements. Key Responsibilities: Define cloud usage policies. Monitor for policy violations and anomalies. Provide governance reports to leadership. Required Skills & Qualifications: Knowledge of compliance frameworks. Familiar with cloud policy tools (AWS Organizations, Azure Policy). Strong analytical and communication skills. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Job Title: Data Analyst Experience: 5 8 Years Location: Bangalore (BLR) Notice Period: Immediate to 15 Days Job Summary: We are looking for a seasoned Data Analyst with 5–8 years of professional experience to join our analytics team in Bangalore. The ideal candidate will have strong technical expertise in SQL, Python, data visualization tools, and statistical analysis. You will play a crucial role in uncovering insights that drive strategic business decisions. Key Responsibilities: Analyze complex datasets to extract actionable insights aligned with business objectives. Build, optimize, and maintain dashboards and reports using BI tools. Write complex SQL queries for data extraction, transformation, and reporting. Apply statistical techniques to identify trends, patterns, and anomalies. Collaborate with product managers, engineers, and other stakeholders to define metrics and KPIs. Automate data workflows and streamline reporting processes. Present findings and recommendations to senior leadership in a clear and concise manner. Mandatory Technical Skills: SkillDescription SQL Advanced query writing, joins, aggregations, window functions Python Data manipulation with Pandas, NumPy; basic scripting; data visualization Data Visualization Hands-on with Power BI , Tableau , or LookerExcel Advanced functions (VLOOKUP, pivot tables, macros) Statistics Hypothesis testing, regression, forecasting ETL/Data Pipelines Understanding of data ingestion and transformation processes Cloud (Preferred) Basic knowledge of AWS/GCP/Azure data services Preferred/Bonus Skills: R for statistical computing Experience with big data tools (Spark, Hive) Exposure to A/B testing and predictive modeling Familiarity with data warehousing concepts and tools like Snowflake or Redshift Experience working with version control (Git) and Agile methodologies

please attach your upated resume if interested on the below role Job Title: Associate / Data Analyst / Sr. Data Analyst Function: Data & Analytics Location: Gurgoan DLF Cyber Hub Experience Required: 3to5 years for Sr. Data Analyst About the Role We are seeking highly motivated individuals for the position of Associate Data Analyst / Data Analyst / Sr. Data Analyst to join our global Data & Analytics team. You will work on high-impact projects, collaborating with cross-functional departments like Marketing, Merchandising, Technology, and Business Units to deliver analytical solutions that drive business performance. This is an excellent opportunity to work in a fast-paced, data-driven environment and make a measurable impact through insights and automation. Key Responsibilities Data & Insights Clean, process, and analyze large datasets to ensure data quality and consistency Identify trends and patterns to provide actionable business insights Create business requirement documents, use cases, user stories, and test cases for analytics projects Design and build impactful dashboards and data visualizations using BI tools Provide ad-hoc data analysis and reports for leadership Operational Excellence Improve data quality through automation and validation tools Develop user-centric dashboards and analytical solutions Benchmark industry practices to create business performance improvement strategies Stakeholder Management Collaborate with data engineers, consultants, and cross-functional teams throughout the analytics lifecycle Communicate insights and complex data concepts to non-technical stakeholders Prepare and maintain comprehensive documentation of analytics solutions Share key learnings across teams to enhance overall data maturity Desired Candidate Profile Education Bachelors Degree in Computer Science, Information Management, Statistics, or a related technical field Technical Skills Strong knowledge of SQL, Python, PySpark Experience with data visualization tools like Power BI, Tableau, Alteryx Understanding of statistical modeling, time series analysis Experience with relational (MySQL, MS SQL) and non-relational (MongoDB, DynamoDB) databases Familiarity with cloud platforms (Azure, AWS, GCP) for analytics Soft Skills Strong analytical and problem-solving skills Excellent communication and stakeholder management Agile and innovative mindset Focus on delivery excellence

Must-Have: Bachelors or Masters in Computer Science, Electrical Engineering, or related field. 7+ years of experience in software/product engineering, with 2+ years in a technical leadership or management role. Deep understanding of cloud architecture, video pipelines, edge computing, and microservices. Proficient in AWS/GCP/Azure, Docker/Kubernetes, serverless computing, and RESTful API design. Solid grasp of AI/ML integration and computer vision workflows (model lifecycle, optimization, deployment). Experience in data pipelines, SQL/NoSQL databases, and analytics tools (e.g., Redshift, Snowflake, Grafana, Superset). Good-to-Have: Prior work on automotive, fleet, or video telematics solutions. Experience with camera hardware (MIPI, ISP tuning), compression codecs (H.264/H.265), and event-based recording. Familiarity with telematics protocols (CAN, MQTT) and geospatial analytics. Working knowledge of data privacy regulations (GDPR, CCPA). Key Responsibilities: Platform Leadership Own and drive the development of the complete video telematics ecosystem, covering edge AI, video processing, cloud platform, and data insights. Architect and oversee scalable and secure cloud infrastructure for video streaming, data storage, OTA updates, analytics, and alerting systems. Define the data pipeline architecture for collecting, storing, analyzing, and visualizing video, sensor, and telematics data. Cross-functional Engineering Management Lead and coordinate cross-functional teams: Cloud/backend team for infrastructure, APIs, analytics dashboards, and system scalability. AI/ML and CV teams for DMS/ADAS model deployment and real-time inference. Hardware/Embedded teams for firmware integration, camera tuning, and SoC optimization. Collaborate with product and business stakeholders to define the roadmap, features, and timelines. Data Analytics Work closely with data scientists to build meaningful insights and reports from video and sensor data. Drive implementation of real-time analytics, fleet safety scoring, and predictive insights using telematics data. Operational Responsibilities Own product quality and system reliability across all components. Support product rollout, monitoring, and updates in production. Manage resources, mentor engineers, and build a high-performing development team. Ensure adherence to industry standards for security, privacy (GDPR), and compliance (e.g., GSR, AIS-140).