Remote Senior Data Analyst - AWS & Call Center Insights

Remote Jobs; Houston (TX); A distancia; USD 110.000 - 150.000; Jornada completa

Descripción de la vacante

NAVA Software is seeking a Senior Business/Data Analyst to join our team on a remote 12- to 24-month project. The role requires AWS expertise, deep experience with call-center processes, and the ability to translate data into actionable insights for senior management.

You will analyze end-to-end customer journeys, collaborate with cross-functional teams, and help optimize customer experience and operations through data-driven recommendations.

Formación

• Bachelor's degree in Business, Data Science, or a related field; Master's degree preferred.
• Proven experience in a senior analytical role, ideally within a call center or customer experience environment.
• Strong knowledge of AWS and data management tools.
• Excellent communication skills, with the ability to present complex data insights to senior stakeholders.

Responsabilidades

• Analyze customer data to understand and improve the end-to-end customer journey, from initial contact through post-sale support.
• Utilize AWS tools to manage and analyze large datasets.
• Develop insights and recommendations to enhance customer satisfaction and operational efficiency.
• Communicate findings effectively to senior management and stakeholders.
• Collaborate with cross-functional teams to implement data-driven strategies.

Conocimientos

Analytical thinking

Communication

Stakeholder management

Collaboration

Problem solving

Educación

Bachelor's in Business/Data Science

Master's preferred

Herramientas

AWS

SQL

Tableau/Power BI

Descripción del empleo

NAVA Software is seeking a Senior Business/Data Analyst to join our team on a remote 12- to 24-month project. The role requires AWS expertise, deep experience with call-center processes, and the ability to translate data into actionable insights for senior management.

You will analyze end-to-end customer journeys, collaborate with cross-functional teams, and help optimize customer experience and operations through data-driven recommendations.