Senior Data Operations Manager

Igbaffiliate

Greater London, UK

12 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

1 year minimum

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Asana JIRA Data Integrity Data Mining Database Queries Excel Formulas Python (Programming Language) DataOps Tableau (Software)

+6 more

Scripting Data Ingestion Google Data Studio Tools for Reporting Looker Analytics Data Pipelines

Job description

Senior Data Operations Manager - London, * Own daily revenue reporting, including data extraction, validation and transformation across multiple systems.

Pipeline monitoring - check that ingestion pipelines are running correctly and flag issues, maintaining data integrity.
Define and enforce data quality standards, implementing validation frameworks and monitoring for accuracy, completeness and compliance.
Serve as primary escalation point for complex data issues, working cross-functionally with engineering, finance and commercial teams.
Own end-to-end automation of data collection and reporting processes, from scoping to delivery and iteration.
Identify opportunities for process improvement, build business cases and drive implementation.
Champion adoption of AI and emerging technologies to evolve workflows.

Leadership & Partnering

Lead and develop a junior analyst, providing guidance, reviews and coaching (with scope to grow the team).
Support Head of Financial Operations on strategic planning, resource management and senior leadership reporting.

Requirements

5+ years of experience in data operations, data analysis or 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 learn it.
Proven ability to project-manage technical workstreams 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.
Solid understanding of data integrity and its importance in a performance marketing environment.
Proactive, solutions-oriented mindset, comfortable operating autonomously and taking ownership of outcomes.
Comfortable in a fast-paced, high-growth environment where priorities shift quickly., * Familiarity with BI/reporting tools (Looker, Tableau, Google Data Studio) and data pipeline concepts.
Previous experience in a scaling operations team where processes were being built or redesigned.
Experience working in affiliate or performance marketing, or in a similarly data-intensive, regulated sector.