Scott Logic
Technology
SeniorDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analyst at Scott Logic. Skills: Data analysis, Data investigation, Stakeholder engagement. Drive data discovery work. Work with stakeholders”
What You'll Achieve.
Extract most value from data; Extract most impact from data
Industry & Context.
Problem-solver; Diagnose anomalies; Work out solutions
What They're Looking For.
Must Have
Significant experience profiling large datasets, Experience with SQL, Experience with Spark, Experience with Python, Confident querying analytical data directly, Problem-solver who works independently, Gather and shape requirements, Work within governance and access controls
Nice to Have
Hands-on data presentation skills, Analytics skills, Dashboarding skills
What You'll Do.
Drive data discovery work
Work with stakeholders
Provide clarity and insight
Work out what data is there
Work out how data fits together
Work out where data can be trusted
Separate data issues from quirks
Give data engineers a clear picture
Build reliable data models
Present findings to stakeholders
Navigate governance around sensitive data
How You'll Work.
Team & Collaboration
Client-facing role; Work with stakeholders; Present findings to stakeholders; Collaborative approach
Communication Scope
Presenting findings; Influencing decisions; Constructively challenging
Full Job Description
## Description We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. We’re looking for a Senior Data Analyst, combining solid data fundamentals and sharp analytical judgement with a business focus. Someone able drive data discovery work, work with stakeholders providing or consuming data, and provide clarity and insight for our teams. Work will include digging into raw, unfamiliar data, frequently at scale and in production, to work out what is there, how it fits together, and where it can and can't be trusted. You’ll 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. This is a hands-on, client-facing role, often working at the foundational end of the data lifecycle, but you'll also be guiding clients in extracting the most value and impact from their data. You'll work with large datasets, diagnose anomalies and work out solutions. You'll be a trusted point of support for the data scientists and engineers working with the data, and you'll work directly with clients, shaping requirements and presenting findings to their stakeholders while navigating the governance around sensitive, regulated data. We're technology agnostic, and we're open minded when it comes to your existing skillset. ## What are we looking for? Significant experience profiling and investigating large, complex datasets at scale and in production. Experience with technologies such as SQL, Spark and Python, and you're confident querying analytical data directly rather than relying on pre-built reporting. You're a problem-solver who works independently, with the judgement to direct your own investigations. You can gather and shape requirements through conversations
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