Hybrid Operations Data Analyst

Posted 3 hours ago

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About the role

  • Operations Data Analyst improving efficiency and operations using data analytics in a tech upskilling platform, collaborating with various stakeholders for insights and metrics.

Responsibilities

  • Coordinate large team communication & reporting forums across Operations to increase change adoption, transparency and collaboration.
  • Develop and maintain dashboards, deliver critical insights for the Operations team in partnership with the Data & Insights team to track key performance indicators (KPIs) and support the execution of daily operations.
  • Assess and analyse data to develop and determine strategies for accelerating progress, proactively identify areas for improvement, and deliver on roadmap priorities and personal OKRs
  • Support with ad-hoc strategic project management within Delivery including research and coordination.
  • Complete ad hoc analysis in support of continuous improvement efforts (as opposed to D&I functional and upward reporting)
  • Codify standards for projects (templates, processes, etc), pilots and experiments
  • Work with leaders to assess project plans and identify testing opportunities based on research and analysis
  • Establish and maintain a centralised roadmap for pilots, experiments and projects within Delivery
  • Manage the combined delivery & ops action plans / OKRs as a comprehensive execution tracker and unified view of all initiatives with Delivery.
  • Develop and drive initiatives to improve the quality and health of data, so stakeholders can trust it

Requirements

  • ~3-6 years of professional work experience; ideally 1+ year of experience within a data analyst role in a data centric organisation.
  • Essential: Excel/Google Sheets, SQL/ Metabase
  • Desirable: Tableau
  • Strong spreadsheets and/or SQL basics; comfort with a modern warehouse/BI stack; can translate business questions into metrics and dashboards.
  • Ability to take a project from concept, through planning and implementation, and into execution as an operational process
  • Hands‑on experience with LLM tools and no‑/low‑code (e.g., prompt design, templated copilots, Zapier/Power Automate/Make) to deliver business outcomes.
  • Crisp writing, facilitation, and stakeholder updates; able to influence without formal authority.
  • Excellent verbal and written communication skills and are able to work effectively with people at all levels, in all departments both internally and externally.
  • Strong analytical skills with the ability to leverage data for informed decision-making and continuous improvement initiatives.
  • Ability to thrive and navigate effectively within a dynamic, fast-paced, and evolving work environment.

Benefits

  • 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
  • private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
  • Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
  • Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
  • Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

Job title

Operations Data Analyst

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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