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Data Visualization & Analytics Contractor – Cost Engineering (FinOps)

emagine

Oferta w skrócie
Widełki nieujawnione
🏠ZdalnieTryb pracy
📄OtherKontrakt
⏱️Senior · 5+ latDoświadczenie
LokalizacjaStockholm City
Źródło
Aktywna
Opublikowano14 kwietnia 2026
Ostatnio sprawdzono6 maja 2026
Wygasa za22 dni
Werdykt JobHunt

This role is about building executive dashboards and data pipelines to track cloud spend and carbon emissions. You will wrangle data from cloud billing and sustainability sources, model it in BigQuery using DBT, and create visualizations in Tableau. You'll work closely with finance and cost engineering leadership to translate business questions into data-driven tools. The core focus is FinOps (financial operations) and sustainability metrics. It is a contract role with high visibility and impact on strategic decisions.

Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji.

Brakuje: no salary or rate mentioned, no information about the team size.

🛠 Wymagane technologie
Dane źródłowe
Data Visualizationbillingdata processingArchitectural (Engineering)strategySQLPythonCloudTableau
AI Insights
Czym naprawdę jest ta rola?BI Developer

This role is about building executive dashboards and data pipelines to track cloud spend and carbon emissions. You will wrangle data from cloud billing and sustainability sources, model it in BigQuery using DBT, and create visualizations in Tableau. You'll work closely with finance and cost engineering leadership to translate business questions into data-driven tools. The core focus is FinOps (financial operations) and sustainability metrics. It is a contract role with high visibility and impact on strategic decisions.

Plusy
  • High impact on executive decisions
  • Focus on sustainability and cost efficiency
  • Modern data stack (BigQuery, DBT, Tableau)
  • Interesting domain (FinOps)
Na co uważać
  • Fixed-term 6-month contract with no mention of extension possibility
  • No salary range provided
  • Role is through an outsourcing agency, not direct hire
  • !No information about team size or daily collaboration
  • !Requires financial metrics experience – may be niche
  • ?Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji
Codzienna praca
  • Designing and developing executive-level dashboards in Tableau for cloud cost and carbon emission metrics
  • Writing complex SQL queries and building data models in BigQuery
  • Transforming raw billing and sustainability data using DBT into analytical datasets
  • Cleaning and structuring diverse datasets from multiple sources (cloud billing, sustainability)
  • Collaborating with FP&A and Cost Engineering to understand reporting needs and requirements
  • Building financial reporting models that link infrastructure usage to budget impact
  • Presenting data-driven insights to senior leadership and stakeholders
Więcej o ofercie
Dla kogo jest ta oferta
Profil idealny

Oferta dla doświadczonych specjalistów (Senior).

Minimum sensowne

A mid-level data analyst with strong SQL and Tableau skills, some experience with BigQuery and DBT, and exposure to financial reporting. Needs to be able to whip together dashboards quickly and collaborate across teams.

Raczej nie dla

This role is not for someone purely focused on backend engineering or machine learning. It requires heavy stakeholder interaction and a focus on visualization and financial data. Also not for those who dislike working with cloud billing complexities or fixed-term contracts.

Ocena dopasowania
Junior1/5
Mid3/5
Senior5/5
Hands-on5/5
Architekt2/5
Remote5/5
Enterprise4/5
Pytania do rekrutera
  • ?What is the team structure – how many data engineers/analysts work in Cost Engineering?
  • ?How many hours per week is expected? Any flexibility?
  • ?What is the reporting cadence to leadership?
  • ?Is there any possibility of extension beyond the 6 months?
  • ?How is the data currently organized – is there existing infrastructure or starting from scratch?
  • ?What specific cloud provider billing data are we dealing with – just GCP or also AWS/Azure?
Brakujące informacje
  • No salary or rate mentioned
  • No information about the team size
  • No description of the working hours or timezone requirements
  • No information about the recruitment process steps
  • No details about tools and environments used
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