Scott Logic
Technology
SeniorDataAnalyst
Neural analysis suggests this role is
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“Senior Data Analyst at Scott Logic. Skills: Data analysis, Data investigation, Stakeholder engagement. Drive data discovery work. Work with stakeholders providing data”
What You'll Achieve.
Provide clarity and insight; Build reliable data models; 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, Hands-on data presentation skills, Hands-on analytics skills, Hands-on dashboarding skills, Communication skills, Collaborative approach
Nice to Have
Experience with technologies at scale, Experience with technologies in production, Presenting findings to senior client stakeholders, Influencing decisions, Constructively challenging when evidence points other way, Embrace chance to try new things, Learn new skills, Grow your experience, Help others on the team grow
What You'll Do.
Drive data discovery work
Work with stakeholders providing data
Work with stakeholders consuming data
Provide clarity for teams
Provide insight for teams
Dig into unfamiliar data
Work with data at scale
Work with data in production
Work out what data is there
Work out how data fits together
Work out where data can be trusted
Work out where data can't be trusted
Separate genuine data issues from quirks
Size the impact of data issues
Size the risk of data issues
Give data engineers clear picture
Give data engineers evidenced picture
Build reliable data models
Work at foundational end of data lifecycle
Guide clients in extracting value from data
Guide clients in extracting impact from data
Work with large datasets
Work out solutions for anomalies
Be trusted point of support for data scientists
Be trusted point of support for data engineers
Work directly with clients
Shape client requirements
Present findings to clients
Navigate governance around sensitive data
Navigate governance around regulated data
How You'll Work.
Team & Collaboration
Work with stakeholders; Work with data scientists; Work with data engineers; Work directly with clients; Present findings to stakeholders
Communication Scope
Presenting findings; Shaping requirements
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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