Newt Global - Irving, TX

posted 3 months ago

Full-time
Irving, TX

About the position

As a Data Modeler at Newt Global, you will play a crucial role in transforming business requirements into effective data models and technical solutions. This position requires a deep understanding of the banking sector, including products such as credit cards, retail banking, and wealth management. You will collaborate with cross-functional teams to ensure that data models align with business objectives and support the overall data strategy of the organization. Your analytical and problem-solving skills will be essential in identifying data-related challenges and proposing innovative solutions that enhance data quality and accessibility. In this hybrid role based in Irving, TX, you will be expected to work closely with data architects and modelers on various data-centric projects. Your familiarity with SQL and data modeling tools like ERwin will be instrumental in querying and manipulating relational databases. Additionally, your experience with data warehouses, big-data platforms, and reporting tools such as Tableau will enable you to contribute effectively to the development of comprehensive data solutions. Continuous learning and adaptation to new technologies are vital in this position. You will have the opportunity to enhance your skills in Python for data manipulation and analysis, as well as explore data processing frameworks like Apache Hive. This role is designed for individuals who are passionate about data management and eager to make a significant impact in the banking sector.

Responsibilities

  • Transform business requirements into data models and technical solutions.
  • Collaborate with cross-functional teams and stakeholders to ensure alignment of data models with business objectives.
  • Analyze data-related challenges and propose innovative solutions to enhance data quality and accessibility.
  • Utilize SQL for querying and manipulating relational databases.
  • Work alongside data architects and modelers on data-centric projects.
  • Develop and maintain data models using tools such as ERwin.
  • Contribute to the development of data warehouses and big-data platforms.
  • Create reports and visualizations using tools like Tableau.

Requirements

  • Bachelor's degree in Finance, Business Administration, Computer Science, or a related field.
  • Proven experience in data analysis or business analysis within the banking sector.
  • Strong understanding of banking sector products and associated processes.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills.
  • Ability to learn quickly and adapt to new technologies and methodologies.
  • Familiarity with SQL for querying and manipulating relational databases.
  • Experience with data modeling tools such as ERwin.
  • Prior experience working on data-centric projects alongside data architects and modelers.
  • Proficiency in Python for data manipulation and analysis.

Nice-to-haves

  • Advanced degree or certifications in banking or data management.
  • Experience with data processing frameworks such as Apache Hive.
  • Experience with big-data platforms.
  • Experience with reporting tools like Tableau.
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