Hyderabad, Telangana, India
Information Technology
Full-Time
Optum
Overview
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities
Primary Responsibilities
- Data Analysis:
- Analyzing structured and unstructured data to derive actionable insights is crucial for informed decision-making and strategic planning. This ensures that the organization can leverage data to drive business outcomes and improve operational efficiency
- Data Architecture Design:
- Collaborating with the Data Engineering team to design and implement data models, pipelines, and storage solutions is essential for creating a robust data infrastructure. Defining and maintaining data architecture standards and best practices ensures consistency and reliability across data systems
- Optimizing data systems for performance, scalability, and security is vital to handle growing data volumes and ensure data integrity and protection
- Collaboration and Stakeholder Engagement:
- Working with business units to understand their data needs and align them with architectural solutions ensures that data initiatives are aligned with business goals. Acting as a liaison between technical teams and business users facilitates effective communication and collaboration, ensuring that data solutions meet user requirements
- Data Governance and Quality:
- Implementing data governance practices to ensure data accuracy, consistency, and security is critical for maintaining high data quality standards. Proactively identifying and addressing data quality issues helps prevent data-related problems and ensures reliable data for analysis and reporting
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field provides the foundational knowledge required for the role
- 4+ years as a Data Analyst, Data Architect, or similar role ensures that the candidate has the necessary experience to handle complex data tasks and responsibilities
- Hands-on experience with data modeling, architecture design, and analytics tools is essential for designing effective data solutions
- Experience with cloud platforms (e.g., AWS, Azure) is crucial for leveraging modern data infrastructure and services
- Understanding of data governance frameworks and tools is necessary for implementing effective data governance practice
- Familiarity with data warehouse solutions (e.g., Redshift, Snowflake) ensures the candidate can design and manage scalable data storage solutions
- Proficiency in SQL and data visualization tools enables the candidate to manage and present data effectively
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