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5 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Data Analyst, Customer Success

Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Data Analyst, Customer Success (SQL/Tableau): Building customer success data models, reports, and dashboards that turn operational metrics into actionable insights with an accent on data quality, KPI reporting, and stakeholder-focused analysis. Focus on extracting and transforming data with SQL, visualizing metrics in Tableau, improving reporting systems, and using AI-assisted tools to accelerate analytics work.

Location: Finance RTP, North Carolina, United States. Full-time role with minimal travel of approximately 10% or less annually.

Company

hirify.global develops enterprise data management infrastructure for data centers, edge environments, and cloud deployments, with a focus on AI data workloads.

What you will do

  • Extract, transform, and model Customer Success data with SQL for accurate reporting and analysis.
  • Build and maintain Tableau dashboards, visualizations, standard reports, and ad-hoc analytics packages.
  • Analyze metrics including Time to Response, Time to Resolution, Customer Satisfaction, NPS, and Feature Adoption.
  • Deliver actionable insights that support Customer Success decisions and business reviews.
  • Identify data quality gaps, improve source-data integrity, and maintain metric definitions and documentation.
  • Track analytics work in Jira and collaborate cross-functionally to troubleshoot and streamline data processes.

Requirements

  • Bachelor’s degree in Business Analytics, Business, Computer Science, Data Science, or a related field.
  • 3–5 years of experience as a data analyst; Customer Success experience is preferred.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Tableau and business intelligence dashboards.
  • Experience using AI-assisted coding and analysis tools such as Cursor or Claude.
  • Strong analytical, problem-solving, communication, prioritization, and data interpretation skills.

Nice to have

  • Familiarity with Customer Success workflows, KPIs, and operational lifecycles in a software company.
  • Customer Success experience.

Culture & Benefits

  • Customer-first mentality and strong attention to detail are expected.
  • Transparent culture with direct feedback.
  • Opportunity to contribute to analytics supporting a rapidly growing AI infrastructure company.
  • Minimal annual travel requirement of approximately 10% or less.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’