Scott Logic

Technology

SeniorDataAnalyst

£65–95k ~AI est. Newcastle, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

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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