Senior Data Analyst

Posted 25 Days Ago
Be an Early Applicant
Newcastle, New South Wales, AUS
Hybrid
Mid level
Software
The Role
Investigate and analyse large volumes of production data using PySpark and SQL, support data consumers, translate findings into epics/tickets, prioritise work, and maintain data governance artefacts to ensure data is understood, governed, and used appropriately.
Summary Generated by Built In

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 and workshops, inform priorities, and work within the governance and access controls around sensitive data. 
            • Hands-on data presentation, analytics and dashboarding skills – both to help understand 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. 
              • You embrace the chance to try new things, learn new skills and grow your experience, and to help others on the team do the same. 

What you'll get in return is:

    • 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. 
          • A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. 
            • A meaningful approach to evaluating your performance and providing feedback on your progress. 

At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. 

We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy.

Skills Required

  • Experience analysing large volumes of production data
  • Proficient in PySpark
  • Proficient in SQL
  • Experience using data analysis tools to investigate complex data questions
  • Ability to translate technical findings into clear, decision-focused narratives
  • Strong stakeholder engagement and workshop facilitation skills
  • Experience working in highly governed or regulated data environments
  • Knowledge of data governance practices and ability to interpret and update governance artefacts
  • Experience gathering requirements and translating outcomes into epics and tickets
  • Ability to recommend priorities and sequencing using techniques such as MoSCoW
  • Ability to identify and assess data quality issues and evaluate scale, impact, and risk
  • Act as a point of support for data scientists and data engineers using the platform
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The Company
HQ: Newcastle upon Tyne
393 Employees
Year Founded: 2005

What We Do

At Scott Logic, we design and build software that transforms the performance of some of the world’s biggest and most demanding organisations. From capital markets and commodities to complex public services, our consultants combine innovation, experience and pragmatism to deliver measurable results with every project.

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