Senior Data Analyst – Customer Experience Analytics

Jobtailor

Dallas (TX)

On-site

USD 120,000 - 180,000

Full time

4 days ago

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Job summary

Jobtailor is seeking an experienced analytics leader in Dallas to serve as a strategic partner to Customer Experience leadership. You will translate complex data into clear dashboards and executive-ready visuals, collaborating with stakeholders across the business to drive actionable insights.

You will lead advanced analytics, forecasting, and KPI development, ensuring data quality and governance while mentoring junior analysts.

Qualifications

Bachelor's degree in a related field or equivalent experience.
5-8 years of experience in business intelligence, analytics, or data warehousing.
Proven ability to influence decisions with data-driven insights and measurable improvements.
Experience in transportation/logistics or fintech is a plus, with strong customer analytics background.

Responsibilities

Serve as a strategic analytics partner to CX leadership and key stakeholders.
Engage with end users to understand workflows and business context behind analyses.
Develop reporting, dashboards, and visualizations for executive decision-making.
Validate analytical outputs through data quality checks and reconciliation processes.
Deliver actionable insights via advanced analytics, forecasting, and data storytelling.
Mentor analysts and promote best practices across teams.
Collaborate with technology and business teams to improve automation and data infrastructure.

Skills

Advanced SQL

Python programming

Data visualization

KPI development

Data storytelling

Executive communication

Project management

Education

Bachelor's degree

Tools

Snowflake

SQL Server

Oracle

dbt

Dagster

GitHub

Azure

AWS

Power BI

Tableau

Job description

Serve as a strategic analytics partner to Customer Experience leadership and key business stakeholders
Engage with end users to understand workflows and business context behind analytical findings
Develop reporting, dashboards, and visualizations for executive decision-making
Validate analytical outputs through data quality checks and reconciliation processes
Deliver actionable insights through advanced analytics, forecasting, statistical analysis, and data storytelling
Contribute to executive and board-level reporting, strategic initiatives, and business planning
Collaborate across teams to create efficient, data-driven solutions
Analyze Voice of Customer feedback, customer interactions, operational trends, and business performance data
Deliver recommendations to improve customer journeys, service delivery, business processes, and client relationships
Define, measure, and improve customer-centric KPIs, service performance metrics, and customer outcomes
Work with customer experience datasets from Amazon Connect, Pendo, Level AI, and similar technologies
Aggregate and analyze data from multiple systems for enterprise initiatives
Build and maintain scalable datasets, ETL processes, semantic models, and data pipelines
Partner with technology and business teams to improve automation, analytics capabilities, and data infrastructure
Leverage AI-enabled development tools, automation capabilities, and advanced analytics technologies
Ensure data quality, governance, and reporting accuracy through documented processes
Serve as a subject matter expert on transportation data and enterprise analytics strategy
Mentor and support analysts by sharing best practices and encouraging professional growth

Requirements

Bachelor's degree in Business, Finance, Computer Science, Statistics, Data Analytics, or a related field
5-8 years of experience in business intelligence, analytics, or data warehousing
Demonstrated success influencing business decisions through data analysis, KPI development, executive recommendations, and measurable business improvement initiatives
Transportation, logistics, freight, fintech, or related industry experience preferred
Strong understanding of customer experience measurement, customer journey analytics, Voice of Customer programs, customer retention, and service performance metrics
Advanced analytical and statistical skills
Advanced SQL skills and experience with relational databases such as Snowflake, SQL Server, or Oracle
Strong programming skills in Python or similar languages
Strong understanding of data warehousing concepts and dimensional modeling
Experience building and maintaining ETL processes, data pipelines, semantic models, and reusable datasets
Familiarity with dbt, Dagster, GitHub, and Git-based workflows
Experience using Power BI, Tableau, or Python-based reporting tools
Experience applying Lean principles, continuous improvement methodologies, or process optimization frameworks
Familiarity with Amazon Connect, Pendo, Level AI, or similar customer experience technologies is a plus
Comfortable working with AI-enabled development tools
Excellent communication and presentation skills, especially with executive audiences
Highly organized with strong project management and multitasking abilities
Detail-oriented, proactive, and comfortable working in a fast-paced environment
Collaborative mindset with a passion for mentoring and supporting teammates
Experience with Azure or AWS is a plus
Familiarity with Notion is a plus

Core Competencies

Demonstrates expertise in advanced analytics, data visualization, and customer experience measurement, with a strong focus on delivering actionable insights and improving service performance metrics. Proficient in building scalable datasets and ETL processes while collaborating across teams to drive data-driven decision-making.

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