Sr. Data Analyst - Customer Experience Analytics - Hybrid M-Th Dallas HQ

We need to output HTML fragment with sections: About the role? The posting includes description. We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections where there is real specific content. We must not repeat job title as heading. No Job ID etc. Remove boilerplate like "Join Triumph!" repeated, call to action, application instructions, EEO etc. We need to preserve all substantive info. Let's parse content: Intro: "Join Triumph! At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That’s why we’re looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better." Then repeated "Join Triumph! Join Triumph! At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. Triumph is looking for a strategic and hands-on Senior Data Analyst to help drive data-informed decisions across the organization. This position serves as a key member of the enterprise analytics team with dedicated support for Customer Experience initiatives while contributing to broader enterprise analytics priorities as business needs evolve." We can combine into an "About the role" section. Then "Day in the Life" description: details about tasks. Then "What You'll Be Doing" bullet list (actually paragraphs). We'll treat as Responsibilities. Then "What Makes You a Great Fit": qualifications, requirements, skills. Then benefits: "We offer Medical, Dental, Vision, Paid Time Off, 401k and much more." No explicit Pay or Schedule. Thus sections: About the role, Responsibilities, Requirements (maybe combine qualifications), Skills, Benefits. We need to use

for each section heading. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must not create sections with filler like "Pay" or "Schedule" if not present. We need to preserve all substantive info; not invent or summarize away detail. So we need to keep details like specific tools, technologies, etc. We'll need to convert paragraphs into

  . For lists, we need to detect bullet-like sentences. The "What You'll Be Doing" section has many sentences each starting with a verb. Could treat each as list item. Similarly "What Makes You a Great Fit" includes many bullet-like sentences; we can list them. Benefits: "We offer Medical, Dental, Vision, Paid Time Off, 401k and much more." Could be a list. We'll need to avoid duplication: The intro repeats "Join Triumph!" etc. We'll keep only once. Let's craft HTML. Structure:

  About the role

  ...

  Responsibilities

  • ...
  ...

  Requirements

  • ...
  ...

  Skills

  • ...
  ...

  Benefits

  • Medical
  • Dental
  • Vision
  • Paid Time Off
  • 401k
  But we need to ensure we don't lose any specifics like location (Dallas, TX (Headquarters)). Should be included in About the role. Also mention "Sr. Data Analyst - Customer Experience". Not repeat as heading but can be in About the role. Let's extract About the role prose: "Join Triumph! At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That’s why we’re looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better. Sr. Data Analyst - Customer Experience Location: Dallas, TX (Headquarters) Join Triumph! At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. Triumph is looking for a strategic and hands-on Senior Data Analyst to help drive data-informed decisions across the organization. This position serves as a key member of the enterprise analytics team with dedicated support for Customer Experience initiatives while contributing to broader enterprise analytics priorities as business needs evolve." We need to deduplicate repeated sentences. Let's craft a concise but preserving all info: mention vision, looking for passionate people, entrepreneurial spirit, goal to help partners, role Sr. Data Analyst - Customer Experience, location Dallas TX Headquarters, strategic hands-on Senior Data Analyst, key member of enterprise analytics team, dedicated support for Customer Experience initiatives, contributes to broader enterprise analytics priorities. We'll keep it as a paragraph. Now Responsibilities: from "Day in the Life" and "What You'll Be Doing". Let's list each distinct duty. Day in the Life: - Work closely with Customer Experience leadership, senior business leaders, engineering, and product teams to uncover insights, improve reporting, and support high-impact business initiatives. - Help identify what drives customer satisfaction, retention, growth, operational excellence, and overall business performance. - Build scalable analytics solutions and develop customer-focused reporting. - Present executive-level recommendations. - Help shape a more customer-centric organization through data-driven decision making. What You'll Be Doing (list): - Serve as a strategic analytics partner to Customer Experience leadership and key business stakeholders, regularly engaging with end users to understand how work gets done and uncover the business context behind analytical findings. - Develop reporting, dashboards, and visualizations that support executive decision-making and provide visibility into customer and business performance. - Validate analytical outputs through rigorous data quality checks and reconciliation processes, with the ability to trace reports, dashboards, and metrics back to underlying data to build stakeholder confidence and trust. - Deliver actionable insights through advanced analytics, forecasting, statistical analysis, and data storytelling. - Contribute to executive and board-level reporting, strategic initiatives, and business planning efforts. - Collaborate across teams to create efficient, data-driven solutions that deliver both customer and business value. - Analyze Voice of Customer feedback, customer interactions, operational trends, and business performance data to identify drivers of customer satisfaction, retention, growth, and operational excellence. - Deliver recommendations that improve customer journeys, service delivery, business processes, and long-term client relationships. - Partner closely with Customer Experience leadership to define, measure, and improve customer-centric KPIs, service performance metrics, and customer outcomes. - Work with customer experience and customer interaction datasets from platforms such as Amazon Connect, Pendo, Level AI, and similar technologies when applicable. - Aggregate and analyze data from multiple systems to support strategic 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 to improve efficiency and accelerate insight generation. - 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. We'll put each as
• . Now Requirements: from "What Makes You a Great Fit" includes education, experience, etc. We'll separate into Requirements (education, years experience) and Skills (technical abilities). But the instruction says use sections: Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can decide to put education/experience under Requirements, and technical skills under Skills. Also "Qualifications" maybe similar to Requirements; but we can avoid duplication. We'll include Requirements (education, experience) and Skills (technical and soft skills). Also maybe include "Qualifications" but we can skip if content overlaps. Let's parse "What Makes You a Great Fit": - Bachelor's degree in Business, Finance, Computer Science, Statistics, Data Analytics, or a related field; Master's degree preferred. - Demonstrated success influencing business decisions through data analysis, KPI development, executive recommendations, and measurable business improvement initiatives. - 5-8 years of experience in business intelligence, analytics, or data warehousing. - 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 with the ability to turn data into actionable insights. - Advanced SQL skills and experience working 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 tools such as dbt, Dagster, GitHub, and Git-based workflows. - Experience using visualization tools such as Power BI, Tableau, or Python-based reporting tools. - Experience applying Lean principles, continuous improvement methodologies, or process optimization frameworks to identify opportunities and improve business outcomes. - Familiarity with Amazon Connect, Pendo, Level AI, or similar customer experience technologies is a plus. - Comfortable working with AI-enabled development tools to improve efficiency and workflows. - 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 cloud platforms such as Azure or AWS is a plus. - Familiarity with knowledge management and documentation tools like Notion is a plus. We can split: Requirements: education, years experience, industry experience preferred. Qualifications maybe similar but we can put under Requirements as well. But we need to avoid empty sections. Let's make Requirements include education, experience, industry preference. Skills include technical and soft skills. Thus:

  Requirements

  • Bachelor's degree in Business, Finance, Computer Science, Statistics, Data Analytics, or a related field; Master's degree preferred.
  • Demonstrated success influencing business decisions through data analysis, KPI development, executive recommendations, and measurable business improvement initiatives.
  • 5-8 years of experience in business intelligence, analytics, or data warehousing.
  • Transportation, logistics, freight, fintech, or related industry experience preferred.

  Skills

  • Strong understanding of customer experience measurement, customer journey analytics, Voice of Customer programs, customer retention, and service performance metrics.
  • Advanced analytical and statistical skills with the ability to turn data into actionable insights.
  • Advanced SQL skills and experience working 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 tools such as dbt, Dagster, GitHub, and Git-based workflows.
  • Experience using visualization tools such as Power BI, Tableau, or Python-based reporting tools.
  • Experience applying Lean principles, continuous improvement methodologies, or process optimization frameworks to identify opportunities and improve business outcomes.
  • Familiarity with Amazon Connect, Pendo, Level AI, or similar customer experience technologies is a plus.
  • Comfortable working with AI-enabled development tools to improve efficiency and workflows.
  • 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.
  • Coll