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11 часов Π½Π°Π·Π°Π΄

Analytics Engineer

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK/US/Belgium
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
Analytics Engineer (SQL/BI): Building scalable data models, pipelines, and dashboards for a SaaS transport management platform with an accent on data quality, operational reporting, and actionable business insights. Focus on developing product, engineering, account management, integration, billing, and cost-analysis analytics that support decision-making across the organisation.

Location: Ghent, Belgium; hybrid

Company

hirify.global is a SaaS Transport Management Platform that helps logistics operations improve planning, efficiency, profitability, and sustainability.

What you will do

  • Build, maintain, and improve data models and pipelines with reliable, high-quality data.
  • Maintain and optimise Lightdash dashboards covering operational, financial, and performance insights.
  • Build internal BI dashboards for data-driven decision-making across product, engineering, sales, account management, finance, and customer onboarding.
  • Develop account management dashboards for feature adoption, revenue insights, and upsell opportunities.
  • Create product and engineering analytics using Mixpanel or custom tracking solutions.
  • Build integration health, tenant usage, billing, API cost allocation, and cost-analysis dashboards.

Requirements

  • At least 2 years of experience in data analytics, BI engineering, analytics engineering, or a similar role in a SaaS or data-driven environment.
  • Strong proficiency in SQL, data modelling, and dashboarding tools such as Lightdash, Superset, Tableau, Looker, or Power BI.
  • Strong analytical and problem-solving skills, with attention to data quality and scalability.
  • Experience collaborating with multidisciplinary product, engineering, sales, and finance teams.
  • Background in Computer Science, Data Engineering, Statistics, or a related field.
  • Proactive approach, ownership, eagerness to learn, and commitment to continuous improvement.

Nice to have

  • Experience with Mixpanel and user behaviour tracking methodologies.

Culture & Benefits

  • Real impact and ownership in a growing international scale-up.
  • Supportive and collaborative team culture.
  • Hybrid working with flexibility and trust.
  • Opportunities to learn, grow, and expand technical knowledge.
  • Competitive salary and benefits package.

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†’