Senior Data Operations Analyst

Credit Benchmark Limited; Greater London; Hybrid; GBP 65,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Pension plan

Cycle to work scheme

Learning and development opportunities

Generous holiday allowance

Job summary

Credit Benchmark Limited in London is seeking a Senior Data Operations Analyst to join our hybrid team. You will lead core data processing, ensure data quality, and help implement scalable data-driven improvements across complex datasets.

You will mentor analysts in London and Bangalore, collaborate with Sales, Analytics and Product, and drive operational excellence in our credit risk data service.

Qualifications

• 3+ years in data operations or a related role.
• Strong SQL and Python production code experience.
• Proven ability to lead projects and mentor colleagues.
• Experience coordinating with data contributors and clients.

Responsibilities

• Oversee core data processing operations, ensuring quality and timely delivery.
• Identify data quality issues and drive resolution and improvements.
• Lead and mentor analysts across London and Bangalore, setting data-quality standards.
• Collaborate with Sales, Analytics and Product to respond to client requests and internal projects.
• Design and implement data-driven solutions to improve efficiency and accuracy.
• Develop and implement continuous improvements to data processing workflows.

Skills

SQL

Python

Data ops

Leadership

Tools

Snowflake

Job description

Credit Benchmark is a financial data analytics company bringing together the credit risk assessments of the world’s leading financial institutions to deliver greater visibility into the credit quality of individual entities.

We are growing rapidly and are looking for a permanent, full-time Senior Data Operations Analyst to join our team. This role is based in our London office with hybrid working.

This is an opportunity to join an expanding organisation and help develop a distinctive financial data service that combines intelligence from leading financial institutions around the world.

The role

Reporting into the Product & Technology function, the Senior Data Operations Analyst will bring significant (3+ years), demonstrable experience in data operations or a similar role and a strong track record of independently solving complex data problems, working closely with the manager of the team as their deputy and helping to lead and develop the team.

The role offers an opportunity to deepen expertise in financial data, take ownership of critical operational processes and lead improvements across a unique range of datasets.

To succeed in this role, the candidate will bring a mix of innovative thinking, problem-solving, technical expertise and strong relationship-building skills.

As a Senior Data Operations Analyst, the candidate will:

• Be part of a busy and diverse team and play a key part in maintaining and helping to develop our credit risk data service
• Be responsible for overseeing our core data operations: from working with data contributors to ensuring quality and accuracy of data input & output, managing the processing of complex datasets, and investigating datasets to resolve problems and provide value-added analysis
• Help to implement and optimise data-driven solutions and process enhancements that drive efficiency and innovation
• Use technical expertise and analytical skills to solve complex data challenges and enable data-focused decision-making within the team and wider company

Key responsibilities

• Owning and developing our data processing operations: identify, prioritise and resolve data quality issues and exceptions
• Quality and execution of service: ensuring the timely delivery of Credit Benchmark services, meeting service level targets
• Partnership with our data contributors: build and manage professional client relationships, to ensure smooth running of the data aggregation process and effective handling, escalation and response to queries/issues
• Working with other internal teams such as Sales, Analytics or Product to jointly respond to client queries, and support internal requests and projects
• Identifying, designing and implementing continuous improvements to operational processes, increasing the accuracy, reliability and efficiency of data processing
• Team leadership: mentoring and guiding analysts across London and Bangalore, reviewing their work and code, and setting standards for data quality and process

What we are looking for

The successful candidate will demonstrate the following technical expertise, data operations experience and leadership capabilities:

Technical skills

• A broad technical understanding and the ability to diagnose data problems, evaluate alternative approaches and select the most appropriate solution across SQL, Python, Snowflake and other related technologies
• Confident writing production-quality SQL and Python, and reviewing code written by others before it goes into production systems and data solutions

Additional skills

• Significant experience working with complex datasets, with a structured and intuitive approach to investigating data problems, identifying root causes and validating solutions
• Proven ability to lead projects independently, exercise sound judgement and elevate risks or decisions when appropriate
• Demonstrable leadership experience, gained through managing individuals or leading complex projects involving multiple stakeholders, with the ability to provide direction, coordinate delivery and influence outcomes
• Willing to take on manual tasks in the short term while driving automation over time
• Strong project-management skills, with the ability to balance competing priorities, manage dependencies, deliver to deadlines and communicate progress, risks and outcomes clearly to stakeholders
• Excellent communication and collaboration skills, with the ability to work effectively across teams, functions and geographies. Able to translate complex data into clear, accessible insights and articulate analysis effectively

Competitive base salary based on skills and experience

• Holidays: Competitive holiday package
• Health and Wellbeing: Private health insurance cover including mental health cover and a healthy work/life balance
• Pension: Opportunity to join company pension plan
• Travel: Cycle to work scheme
• Family Friendly: Supportive environment and generous paid leave for new parents
• Learning and Development: Professional development opportunities through seminars, conferences, training and courses and internal mentorship
• Community: Supportive, collaborative and social team environment

Our commitment to diversity, equity and inclusion

At Credit Benchmark, we are deeply committed to diversity, equity and inclusion. This means celebrating who we are as individuals and as a team because our company and culture reflect the sum of our employees.

We strive to create a mindful and respectful environment that includes fairness, kindness and understanding. We empower each other to bring our authentic selves to work and champion our colleagues’ development and achievements. Our diversity brings a multitude of perspectives and ideas and is imperative to the success of our business.

We are dedicated to ensuring that principles of diversity, equity and inclusion are rooted in Credit Benchmark’s DNA. We continue to build on these principles as our company grows while retaining the progress we have made as a team.

Credit Benchmark is proud to be an equal opportunities employer. We believe no one should be at a professional disadvantage because of their background. We do not discriminate based upon any legally protected characteristic and are committed to fostering a working culture that is free of discrimination and harassment.

Credit Benchmark is also committed to providing reasonable adjustments for qualified individuals with disabilities in our job application procedures and employment.

If you require reasonable adjustments in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please let us know by contacting our HR team at [e-mail].

Only successful applicants will be contacted.