Hybrid Senior Data Operations Manager

Posted 18 hours ago

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About the role

  • Senior Data Operations Manager at Quantum optimizing data operations and ensuring data quality. Managing automation processes and collaborating with engineering teams for effective data handling.

Responsibilities

  • Own daily revenue reporting, including data extraction, validation and transformation across multiple systems.
  • Pipeline Monitoring - You’ll check that our data ingestion pipelines are running correctly and flag any issues, helping maintain the integrity of our data operations.
  • Define and enforce data quality standards, implementing validation frameworks (where needed) and monitoring to ensure accuracy, completeness, and compliance.
  • Serve as the primary escalation point for complex data issues, working cross-functionally with engineering, finance, and commercial teams to resolve them.
  • Own the end-to-end automation of data collection and reporting processes, from scoping to delivery and iteration.
  • Identify opportunities for process improvement, building business cases and driving implementation.
  • Champion the adoption of AI and emerging technologies to continuously evolve how we work.
  • Lead and develop a junior analyst, providing day-to-day guidance, reviews, and coaching (with scope to grow the team)
  • Support the Head of Financial Operations on strategic planning, resource management, and senior leadership reporting

Requirements

  • 5+ years of experience in data operations, data analysis, or a similar role, with at least 1 year in a senior or lead capacity
  • A scripting mindset. Python or similar is a plus, or a genuine appetite to pick it up
  • Proven ability to project manage technical workstreams, from requirements gathering through to delivery, using tools such as Jira, Asana, or similar
  • Strong SQL skills and advanced proficiency in Excel/Google Sheets (scripting, complex formulas, automation)
  • Excellent communication skills, able to translate technical concepts for non-technical stakeholders and document processes clearly
  • A solid understanding of data integrity, and their importance in a performance marketing environment
  • A proactive, solutions-oriented mindset, comfortable operating with autonomy and taking ownership of outcomes
  • Comfortable in a fast-paced, high-growth environment where priorities can shift quickly.

Benefits

  • Private Health Care (Bupa)
  • Hybrid Working (3 days in office)
  • Travel Insurance
  • Competitive Base Salary
  • Company Bonus Scheme
  • Market-Leading Training Programme
  • Recognition & Reward Scheme
  • Annual Company Conference (previous destinations: Vienna, Bologna, Dubrovnik, Thessaloniki)
  • Regular Happy Hours & Team Lunches
  • Free Coffee, Drinks & Snacks

Job title

Senior Data Operations Manager

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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