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3 дня назад

Senior Data Analyst - Customer Experience Analytics - Hybrid M-Th Dallas HQ (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Analyst - Customer Experience Analytics (SQL/Python): Building scalable analytics solutions, customer-focused reporting, data pipelines, and KPI frameworks to improve satisfaction, retention, service performance, and enterprise decision-making with an accent on customer experience analytics, data quality, and executive insights. Focus on analyzing customer interaction and transportation data, developing forecasting and statistical models, and designing reliable ETL, semantic models, and reporting workflows.

Location: Dallas, TX; hybrid schedule with office attendance Monday through Thursday at the Dallas headquarters

Company

hirify.global operates a modern and secure freight transaction network focused on accurate, seamless freight transactions and customer and business performance.

What you will do

  • Partner with Customer Experience leadership and business stakeholders to uncover insights and define customer-centric KPIs.
  • Build reporting, dashboards, visualizations, datasets, ETL processes, semantic models, and data pipelines.
  • Analyze customer feedback, interactions, operational trends, transportation data, and business performance to identify drivers of satisfaction, retention, growth, and service quality.
  • Apply forecasting, statistical analysis, data storytelling, and data quality checks to deliver reliable recommendations.
  • Prepare executive- and board-level reporting and support strategic enterprise initiatives.
  • Collaborate with engineering, product, technology, and business teams while mentoring analysts and improving analytics automation.

Requirements

  • Bachelor’s degree in business, finance, computer science, statistics, data analytics, or a related field; a master’s degree is preferred.
  • 5–8 years of experience in business intelligence, analytics, or data warehousing.
  • Advanced SQL and experience with relational databases such as Snowflake, SQL Server, or Oracle.
  • Strong programming skills in Python or similar languages, plus knowledge of data warehousing and dimensional modeling.
  • Experience with ETL processes, data pipelines, semantic models, reusable datasets, visualization tools, and executive presentations.
  • Strong customer experience analytics, statistical analysis, communication, organization, and project management skills.

Nice to have

  • Experience in transportation, logistics, freight, fintech, or a related industry.
  • Familiarity with Amazon Connect, Pendo, Level AI, dbt, Dagster, GitHub, Azure, AWS, or Notion.
  • Experience with Lean principles, continuous improvement, or process optimization.

Culture & Benefits

  • Collaborative environment with opportunities to partner across business, engineering, product, and technology teams.
  • Focus on entrepreneurial thinking, customer service, professional growth, and mentoring.
  • Medical, dental, and vision coverage.
  • Paid time off and 401(k) plan.

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