4 Data Strategies Jobs

As a Consultant at Accenture Strategy & Consulting in the Global Network - Data & AI team under the Banking & Financial Services Analytics practice, you will play a crucial role in helping clients leverage analytics to drive business growth and achieve high performance through data-driven insights. Your expertise in financial services industry, management, and technology will be instrumental in providing strategic solutions to address various challenges and demands in the industry. You will work with leading financial services organizations across Central Banks, Banking, and Capital Markets, assisting them in developing analytical capabilities that enable better decision-making, strengthen customer relationships, and outperform competitors. Your contributions will have a direct impact on shaping the future of the global financial services industry. In this role, you will have the opportunity to collaborate closely with clients to understand their business objectives, develop data strategies aligned with industry best practices, and deliver actionable insights to drive business success. Your responsibilities will include identifying key business questions, performing data collection and ETL, conducting analyses using statistical, machine learning, and mathematical techniques, and implementing predictive models to assess and manage financial risks. Moreover, you will be involved in building predictive models to maximize Customer Lifetime Value, supporting targeted retention and acquisition strategies, responding to RFPs, designing POVs, and working on Generative AI solutions using ML and GenAI in collaboration with client teams. Additionally, you will be responsible for implementing data security measures to protect sensitive financial information and ensure compliance with industry standards. By joining Accenture's dynamic and diverse data science community, you will have the opportunity to enhance your skills, explore new areas of expertise, and work with prestigious financial clients globally. You will have access to cutting-edge technologies and resources that will empower you to drive innovation and make a meaningful impact in partnership with some of the world's most recognizable companies.,

As a Data Modeler, you will be responsible for developing and maintaining conceptual, logical, and physical data models along with their corresponding metadata. Your role will involve performing data mapping based on data source schemas and reverse engineering existing transformations from multiple source database systems on a cloud data platform to align with corporate standards. Additionally, you will conduct data analysis, capture data requirements, and collaborate with squad members and product owners to implement data strategies effectively. One of your key responsibilities will be to validate logical data models with business subject matter experts and work closely with the development team to ensure that all requirements are captured and reflected in the data model. You will also collaborate with the DBA team to design physical models that optimize performance. Active participation in metadata definition and management will be essential in this role. To excel in this position, you should be proficient in data modeling techniques using tools such as Erwin, ER/Studio, and Power Designer. A willingness to learn and strong communication skills are also important attributes for success in this role. If you have 6 to 9 years of experience, you can expect a salary of 18 L, while candidates with 9 to 12 years of experience can anticipate a salary of 24 L. This is an excellent opportunity to leverage your skills and expertise as a Data Modeler to contribute to the success of the organization.,

As an AIoT Systems Engineer, you will be responsible for designing and implementing scalable AIoT architecture. You will collaborate with cross-functional teams to define system requirements and ensure seamless integration of AIoT solutions with existing systems. Your role will involve developing and maintaining AIoT security protocols, providing technical guidance and support to development teams, and creating detailed technical documentation. Additionally, you will monitor and analyze the performance of AIoT systems. You should have hands-on expertise in solutioning, architecting, designing, and deploying scalable IoT solutions. A good understanding of IoT Sensor/Gateway/Device Communication protocols such as MQTT, HTTPS, Zigbee is essential. Deep experience with different IoT platforms like AWS IoT, Azure IoT, AWS IoT Core, Lambda, Timestream, Kinesis, SNS, SQS, Dynamo DB, EC2, S3, Cognito, API Gateway, IAM, Azure Functions, and IoT Hub is required. Real-world experience in implementing security best practices across device security, API security, cloud security, and application security is crucial. You should have 4-8 years of experience in building web applications using ASP.NET MVC and the .NET platform, along with UI development skills using HTML, CSS, and JavaScript frameworks. Awareness of multi-threading, multi-tenancy solutions, expertise in SQL programming, and experience with creating and deploying Micro-service architecture based digital solutions are essential. A strong understanding of data strategies for managing IoT-based solutions, core architectural patterns for achieving scalability, availability, and performance, and familiarity with CI/CD and DevSecOps tools like Git, Jenkins, Cloud Watch, and automated testing frameworks are required. Nice-to-have skills include experience in integrating machine learning models on cloud and edge devices, working knowledge of docker and Kubernetes based application development and deployment, and prior experience in automotive, medical devices, or industrial automation domains. This is a full-time, permanent job with benefits including health insurance and provident fund. The work schedule is a day shift from Monday to Friday, and the work location is in person. If you are interested in this opportunity, please contact the employer at +91 9500898874.,

As a Data Modeler, your primary responsibility will be to analyze and translate business requirements into comprehensive data models that serve as long-term solutions. You will evaluate the current data systems in place and possess extensive experience in the US Healthcare domain. Collaborating closely with the development team, you will be involved in creating conceptual data models and data flows to support the organization's needs. Your role will also include the development of best practices for data coding to maintain consistency within the system. You will review any modifications made to existing systems to ensure cross-compatibility and implement data strategies while creating physical data models. It will be crucial for you to update and optimize both local and metadata models regularly. In this position, you will evaluate the implemented data systems to identify any variances, discrepancies, or inefficiencies. Additionally, you will be responsible for troubleshooting and optimizing these data systems to enhance overall performance and functionality.,