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Credit Benchmark is a financial data analytics company that aggregates credit risk assessments from leading global financial institutions to provide visibility into entity credit quality. The company is growing rapidly and seeking a Senior Data Operations Analyst to join the London office on a hybrid basis, reporting to the Product & Technology function.
In this role, you will serve as a deputy to the team manager and help lead and develop the data operations team. You will own and develop core data processing operations, including identifying and resolving data quality issues, ensuring timely delivery of services against SLAs, and building relationships with data contributors. You will work across complex datasets, implement process improvements to increase accuracy and efficiency, and mentor analysts in London and Bangalore.
Key responsibilities include:
- Overseeing data operations: managing data quality, processing complex datasets, investigating and resolving data problems
- Ensuring service quality and execution: meeting service level targets and delivering Credit Benchmark services on time
- Managing relationships with data contributors and handling escalations
- Collaborating with Sales, Analytics, and Product teams on client queries and internal projects
- Identifying and implementing continuous improvements to operational processes
- Providing team leadership: mentoring analysts, reviewing work and code, setting data quality standards
You will use technical expertise and analytical skills to solve complex data challenges and enable data-focused decision-making. The role offers an opportunity to deepen expertise in financial data and take ownership of critical operational processes.
REQUIREMENTS:
- 3+ years of significant, demonstrable experience in data operations or similar role
- Strong track record of independently solving complex data problems
- Technical expertise: broad understanding of SQL, Python, Snowflake and related technologies; confident writing production-quality SQL and Python; ability to review code before it goes into production
- Significant experience working with complex datasets, with structured approach to investigating data problems and identifying root causes
- Proven ability to lead projects independently, exercise sound judgment, and escalate appropriately
- Demonstrable leadership experience through managing individuals or leading complex multi-stakeholder projects
- Strong project management skills: balancing priorities, managing dependencies, delivering to deadlines, communicating progress and risks
- Excellent communication and collaboration skills across teams, functions, and geographies
- Ability to translate complex data into clear, accessible insights
- Willingness to take on manual tasks while driving automation over time
