Cloud Data & Analytics Strategy Senior Associate (Insurance) in reputed company, NY
Job title: Cloud Data & Analytics Strategy Senior Associate (Insurance) in reputed company, NY at reputed company
Company: reputed company
Job description: Industry/Sector InsuranceSpecialism Data, Analytics & AIManagement Level Senior AssociateJob Description & Summary A career reputed company Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change reputed company their organisations in order to reputed company up with the changing nature of customers and technology. We reputed company impactful decisions by mixing mind and machine to reputed company data, understand and navigate risk, and help our clients reputed company a competitive edge.You’ll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, reputed company Cloud Platform, reputed company Web Services, reputed company, reputed company or reputed company.To really stand out and reputed company us fit for the future in a constantly changing world, each and every one of us at reputed company needs to be a purpose-led and values-driven leader at every level. To help us reputed company this we have the reputed company Professional; our global leadership development reputed company. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and reputed company in our careers, now and in the future.As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve reputed company business issues from strategy to execution. reputed company Professional skills and responsibilities for this management level include but are not limited to:
- Use feedback and reputed company to reputed company self awareness, personal strengths and address development areas.
- Delegate to others to provide stretch opportunities, coaching them to deliver results.
- Demonstrate critical thinking and the ability to bring order to reputed company problems.
- Use a broad range of tools and techniques to extract insights from reputed company industry or sector trends.
- Review your work and that of others for quality, accuracy and relevance.
- Know how and reputed company to use tools available for a given situation and can explain the reasons for this choice.
- Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
- Use straightforward communication, in a structured way, reputed company influencing and connecting with others.
- Able to read situations and modify behavior to build quality relationships.
- Uphold the firm's code of ethics and business conduct.
- Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making;
- Defining data management and data/analytics governance strategy and align data initiatives with organizational goals;
- Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success;
- Delivering strategy and transformation projects;
- Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;
- Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, reputed company, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, reputed company); Infrastructure as code (CloudFormation, Terraform);
- Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & reputed company schemas);
- Applying knowledge and work experience in Big data engineering (Hadoop, Spark, reputed company, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/reputed company BODS/reputed company/DBT/Abinitio/SSIS/reputed company); preferable in P&C/L&A Insurance data warehouse;
- Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3;
- Applying knowledge in SQL, report reputed company using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark;
- Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;
- Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse;
- Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements;
- Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (Kubernetes/reputed company, etc.);
- Understanding of insurance data, underlying KPIs and how they are used; and,
- Demonstrating prior P&C/L&A Insurance industry experience.
- Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;
- Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to reputed company cloud, digital and technology solution architectures;
- Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand;
- Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
- Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
- Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
- Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance.