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Aliz

Cloud ML and data solutions provider

Delivery Operations & Resourcing Analyst

Business OperationsConfirmed live in the last 24 hours
Full-timeBudapest, HungaryNo salary listed

About the Job

Requirements

  • Have 2 to 4 years of experience in project coordination, PMO, resource coordination, or operations analysis at an IT services company, consultancy, system integrator, or digital agency.
  • Have administered a PSA or project-financial tool such as Productive.io, Kantata, Certinia, BigTime, Float, Harvest/Forecast, or Jira with Tempo, including configuring it rather than just using it.
  • Have built automations with Apps Script, Make, Python, or a similar tool.
  • Use AI tools to reduce manual reporting work.
  • Have strong spreadsheet skills, including pivots, lookups, and scenario models.
  • Understand services economics basics, including utilization, time and material versus fixed price, budget burn, and rate cards.
  • Be precise, reliable, and comfortable owning recurring routines.
  • Be able to summarize what data means in a few clear lines for a leadership audience.
  • Speak English fluently.

Responsibilities

  • Own the Productive.io configuration, including users and roles, rate cards, budget and billing models (time and material, fixed price, retainer), custom fields, and workflows.
  • Set up new projects and deals to a common standard, including budget, rate card, staffing plan, and project tier.
  • Keep data clean by running weekly checks, fixing errors, and logging every configuration change.
  • Build automations and integrations using Productive API, Make, and Apps Script to replace manual reporting.
  • Run timesheet compliance and the month-end data check together with Finance.
  • Maintain the rolling 12-week resource plan across Budapest, Indonesia, and subcontractors, broken down by skill.
  • Make allocation conflicts and bench time visible to project managers and engineering managers so they can decide quickly.
  • Prepare the monthly capacity report for the Strategic Resourcing forum, including pipeline demand versus available capacity by skill, bottlenecks, bench trends, and subcontractor use.
  • Signal demand trends early, such as when a skill appears in several pipeline deals before any are signed.
  • Track forecast accuracy by comparing planned work with what was actually booked.
  • Maintain budget burn and estimate-at-completion data for fixed-price projects, and flag overruns early.
  • Prepare project financial snapshots for project management reviews and client steering meetings.
  • Help design new delivery and resourcing processes together with the PMO, and translate them into Productive.io setup, including workflows, custom fields, approvals, and reports.
  • Identify where Productive.io and working practices do not fit, and propose whether to change the configuration, the process, or both.
  • Train project managers and engineers on time entry and project setup.

Desired Qualifications

  • Have hands-on experience with Productive.io.
  • Know SQL, Looker Studio, or another BI tool.
  • Have worked with HubSpot or another CRM, especially connecting pipeline data to resource planning.
  • Have worked with teams across several countries or time zones.
  • Speak Hungarian.
  • Speak German.

About the Company

Aliz

Cloud ML and data solutions provider

Aliz helps businesses move to the cloud and unlock value from data by using Machine Learning and data solutions powered by Google Cloud. The company pairs a dedicated team with a strong Google partnership to access the latest technologies and deliver tailored analytics, data warehousing, and ML solutions that turn data into actionable insights, forecasts, and optimized operations. Compared with competitors, Aliz positions itself as the only Premier Google Cloud partner in the Central and Eastern Europe region, emphasizing a direct link to Google’s ecosystem and a track record with high-profile clients like airlines, retailers, and telcos. The overall goal is to enable clients to migrate to the cloud, automate processes, and increase ROI by leveraging data and ML capabilities.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Budapest, Hungary
Founded
2019

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