Senior Data Analyst

4w1 month ago

Scott Logic

Bristol, GB · Full-time · £50,000 – £70,000

About this role

Scott Logic partners with the UK's biggest companies and government departments to deliver bespoke software solutions and expert advice. Our clients increasingly look to us to help them make the best use of their data, and we are seeking a Senior Data Analyst who combines solid data fundamentals with sharp analytical judgement and a strong business focus.

In this hands-on, client-facing role you will dig into raw, unfamiliar data—often at scale and in production—to determine what is there, how it fits together, and where it can and cannot be trusted. You will separate genuine data issues from quirks of history, size the impact and risk, and give data engineers the clear, evidenced picture they need to build reliable data models.

You will work directly with clients to shape requirements and present findings to their stakeholders, while navigating the governance around sensitive, regulated data. As a trusted point of support for data scientists and engineers, you will also guide clients in extracting the most value and impact from their data, diagnosing anomalies and working out solutions.

We are technology agnostic and open-minded about your existing skillset, encouraging you to embrace new challenges and grow your experience. You will join a team with shared values that govern behaviour toward others and the environment, and we are proud to be a B Corp—part of a global movement driving for a more inclusive, equitable, and regenerative economy.

Requirements

Significant experience profiling and investigating large, complex datasets at scale and in production.
Experience with SQL, Spark, and Python, and confident querying analytical data directly rather than relying on pre-built reporting.
A problem-solver who works independently with the judgement to direct your own investigations.
Able to gather and shape requirements through conversations and workshops, inform priorities, and work within governance and access controls.
Hands-on data presentation, analytics, and dashboarding skills for understanding how data is consumed and for ad hoc presentational work.
Strong communication skills and a collaborative approach, comfortable presenting findings to senior client stakeholders, influencing decisions, and constructively challenging when the evidence points the other way.
Embraces the chance to try new things, learn new skills, and grow your experience, and to help others on the team do the same.

Responsibilities

Drive data discovery work and work with stakeholders providing or consuming data.
Dig into raw, unfamiliar data at scale and in production to understand what is there and how it fits together.
Separate genuine data issues from quirks of history, size impact and risk, and provide data engineers with a clear, evidenced picture.
Work directly with clients, shaping requirements and presenting findings to their stakeholders.
Navigate governance and access controls around sensitive, regulated data.
Guide clients in extracting the most value and impact from their data.
Diagnose anomalies in large datasets and work out solutions.
Serve as a trusted point of support for data scientists and engineers working with the data.

Benefits

25 days' annual leave, rising incrementally to 30 days after six years of service.
Generous family leave policies.
Access to an employer pension scheme and Group Life Assurance.
Range of optional benefits including discounted gym membership and a cycle-to-work scheme.
Meaningful approach to evaluating performance and providing feedback on progress.
Flexibility of remote working alongside time spent with colleagues and clients.
Employee-led clubs and events, plus free games, books, and refreshments in the office.