Principal Data Solutions Analyst

Liberty Mutual InsurancePlano, TX
Hybrid

About The Position

Provides, builds, and maintains data solutions to meet the needs of the enterprise and helps ensure those solutions can be scaled appropriately. Under minimal to no direction, works within broad limits and authority on highly complex assignments requiring specialized knowledge. Viewed as senior resource in given field for department and/or unit. Under minimal direction, prototypes/develop data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing a comprehensive understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Acts as a technical leader and mentor to lower-level associates. Designs and develops data solutions that enables effective self-service data consumption and can describe their value to the customer. Works with stakeholders in defining metrics that are impactful to the business. Prioritizes efforts based on customer value. Has a comprehensive understanding of Agile techniques. Can set expectations for deliverables of high complexity. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability with own team or in partnership with IT. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensure data solutions include deliverables required to achieve high quality data. Displays a working understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work. Has a comprehensive understanding of Business Intelligence tools, including visualization and user experience techniques. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes. Demonstrates a strong understanding of new technologies as needed to progress initiatives. Telecommuting permitted up to 60%.

Requirements

  • Employer will accept a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering or related field and 7 years of experience in the job offered or in a Principal Data Solutions Analyst-related occupation.
  • Coding for data management, data warehousing, or other data environments, including working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack.
  • Developing with top quadrant Business Intelligence tools.
  • Applying knowledge of data formats, including CSV, JSON, and Parquet.
  • Big Data and Cloud Services including Cortex, AWS, and Snowflake.
  • Insurance Rating tools, including Ratabase and Earnix.
  • Data Quality and Version Control Best Practices.

Responsibilities

  • Provides, builds, and maintains data solutions to meet the needs of the enterprise and helps ensure those solutions can be scaled appropriately.
  • Under minimal to no direction, works within broad limits and authority on highly complex assignments requiring specialized knowledge.
  • Viewed as senior resource in given field for department and/or unit.
  • Under minimal direction, prototypes/develop data solutions of high complexity to meet the needs of the organization and business customers.
  • Designs proof-of-concept solutions utilizing a comprehensive understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met.
  • Acts as a technical leader and mentor to lower-level associates.
  • Designs and develops data solutions that enables effective self-service data consumption and can describe their value to the customer.
  • Works with stakeholders in defining metrics that are impactful to the business.
  • Prioritizes efforts based on customer value.
  • Has a comprehensive understanding of Agile techniques.
  • Can set expectations for deliverables of high complexity.
  • Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability with own team or in partnership with IT.
  • Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support.
  • Ensure data solutions include deliverables required to achieve high quality data.
  • Displays a working understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work.
  • Has a comprehensive understanding of Business Intelligence tools, including visualization and user experience techniques.
  • Can set expectations for deliverables of high complexity.
  • Works with IT to help scale prototypes.
  • Demonstrates a strong understanding of new technologies as needed to progress initiatives.
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