Data Analyst II

Our client is currently seeking a Data Analyst II


The CX Insights and Engagement Team designs and implements a best-in-class Voice of the Customer (VOC) program to drive customer-centric decision-making.

This role requires strong communication, interpersonal, presentation, financial/analytical, and problem-solving skills. The ideal candidate has a proven track record in leading data-driven customer experience programs and implementing enterprise technology solutions. They thrive in an environment that promotes customer-centricity, teamwork, and accountability.

As part of a dynamic and growing team, you will generate insights and customer experience solutions that impact the entire Consumer CX Organization.

What will you do:

Design, build, and implement VOC data flow, data validation, and system integrations in collaboration with GTS, AI&D, vendors, business teams, and development teams.

Drive agile project management, including creating user stories in Jira, leading grooming sessions, and ensuring successful sprint execution.

Utilize expertise with VOC vendors such as Qualtrics, Medallia, and other customer experience platforms to design, analyze, and optimize VOC programs.

Partner with cross-functional teams to implement technology solutions that enhance customer insights and improve overall experience.

Ensure seamless integration of VOC systems with enterprise data architecture to support data-driven decision-making and actionable insights.

Manage data ingestion processes, ensuring seamless integration across multiple systems.

Lead system integrations, APIs, and real-time payload creation to optimize VOC programs.

What We're Looking For:

Bachelor's degree or four or more years of work experience.

Six or more years of relevant experience in data engineering, system integration, and VOC program implementation.

Proficiency in SQL to extract, manipulate, and analyze large datasets.

Hands-on experience with system integrations, data engineering, and data migration, with a solid understanding of data architecture across multiple systems.

Ideally, You Will Also Have:

A background in marketing, computer science, business transformation, data science, or customer experience in a business, agency, or consulting environment.

Experience developing and automating data analytics and conducting ad-hoc analyses.

Strong analytical skills with a proven ability to meet and exceed business objectives.

A high level of accountability and ownership.

The ability to build strong relationships with business partners, manage multiple projects simultaneously, and deliver results on time.