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5 часов назад

Senior Data Analyst (SaaS)

151 000 - 227 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Data Analyst (SaaS): Developing analytics, enablement, and data-driven decision-making for global engineering and product teams with an accent on operational data, productivity, and AI adoption. Focus on building trusted metrics, dbt models, and self-service dashboards to optimize Product Development.

Location: Hybrid in Madison, Wisconsin, USA

Salary: $151,000–$227,000

Company

hirify.global is a customer experience software company that powers billions of conversations for brands worldwide.

What you will do

  • Develop SQL queries and dbt models to transform operational data into analysis-ready models.
  • Build and maintain self-service dashboards for engineering productivity, AI adoption, and reliability.
  • Define and standardize engineering metrics, including DORA definitions like change-failure-rate and cycle time.
  • Conduct deep-dive analyses to identify root causes of data anomalies and business insights.
  • Implement data quality tests and monitoring using dbt tests and Monte Carlo.
  • Integrate data from APIs and third-party tools into Snowflake for analytics and AI enrichment.

Requirements

  • 3+ years of experience in analytics delivering metrics that drive business decisions.
  • Proven proficiency in SQL for complex queries and data transformation.
  • Hands-on experience with dbt and cloud data warehouses such as Snowflake.
  • Experience with BI or dashboarding tools like Tableau or Looker.
  • Ability to communicate technical concepts to executive-level audiences.
  • Must be based in or able to work in a hybrid setup in Madison, Wisconsin, USA.

Nice to have

  • Proficiency in Python for data modeling, forecasting, and analysis.
  • Familiarity with Git/GitHub PR workflows, code review, and CI/CD.
  • Experience with data quality monitoring tools like Monte Carlo.
  • Fluency with modern AI tooling (Claude, GPT, MCP servers) and AI-assisted workflows.
  • Knowledge of engineering productivity metrics and incident management KPIs.

Culture & Benefits

  • Hybrid way of working providing a balance of in-person collaboration and remote flexibility.
  • Commitment to fostering global diversity, equity, and inclusion in the workplace.
  • Competitive base salary with potential eligibility for bonuses and other incentives.

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