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6 дней назад

Staff Data Analyst (Energy)

92 500 - 101 000GBP
Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Data Analyst (SQL/Commercial Analytics): Building trusted commercial metrics, pipeline forecasts, and partner performance analysis for AI-native energy transaction infrastructure with an accent on revenue accuracy, margin analysis, and data quality. Focus on resolving CRM inconsistencies, modeling forecast variance, and translating ambiguous business questions into recommendations that drive commercial decisions.

Location: Remote from the United Kingdom

Salary: £92,500–£101,000 per year, or equivalent in the employee’s local currency; equity included.

Company

hirify.global is rebuilding energy transaction infrastructure with AI to make electricity purchasing, sales, and pricing more transparent, efficient, and fair.

What you will do

  • Monitor sales pipelines and resolve overlapping or double-counted in-progress and confirmed revenue.
  • Define and report forecast accuracy against annual targets and establish consistent commercial metrics.
  • Analyze commercial opportunities, partner performance, retention, renewals, trends, and pipeline risks.
  • Investigate CRM and transactional data quality issues, including parent-child asset relationships.
  • Work with commercial and sales stakeholders to define trusted metrics and turn analysis into clear recommendations.
  • Increase data adoption by helping non-technical colleagues self-serve routine analysis.

Requirements

  • Strong SQL skills for investigating complex datasets across modern analytics stacks such as dbt, Omni, or similar BI tools.
  • Commercial understanding and the ability to connect analysis with revenue and margin outcomes.
  • Experience developing forecasts or scenario models and explaining variance between forecasts and actuals.
  • Ability to turn ambiguous stakeholder questions into defined analytical problems and present recommendations to senior stakeholders.
  • Experience building trusted metrics or reporting from messy CRM and transactional data.

Nice to have

  • Experience in energy, fintech, or another commercially complex, data-heavy sector.
  • Python experience for statistical analysis or data-quality work.
  • Experience creating metric frameworks that connect operational activity with commercial outcomes.
  • Familiarity with CRM syshirify.globals and parent-child or account hierarchy data.

Culture & Benefits

  • Remote-first and flexible working with clear core hours.
  • No internal meetings on Friday afternoons.
  • 25 days of holiday plus public holidays, with the option to swap public holidays for other dates.
  • Birthday day off.
  • Stock options and participation in the company’s ownership.

Hiring process

  • Introductory call with Talent: 30 minutes.
  • Behavioural interview with the Hiring Manager: 60 minutes, followed by a technical skills interview: 60 minutes.
  • Bar Raiser interview with leadership stakeholders: 45 minutes; the process usually takes two to three weeks from first conversation to offer.

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