Data Analyst
Role details
Job location
Tech stack
Job description
You'll play a key role in collecting, analysing, and managing the data which supports evidence-based decision-making. Working across the data lifecycle, you'll lead the planning and implementation of data collection methods, establish data pipelines, and prepare data. You'll conduct data analysis, effectively visualising and communicating clear insights from large and complex datasets.
You'll also help organisations understand how their services operate today, identify opportunities for improvement, and ensure digital products and services deliver measurable value aligned with business requirements. We are keen to speak to analysts who also have business analysis experience.
This is a hands-on delivery role operating in complex public and third sector environments as part of multidisciplinary teams, often blended from dxw, client and partner staff.
As well as client-facing work, you'll be an active member of dxw's Product & Performance team, helping us maintain effective ways of working with our data., Data planning, collection and management
- Contributing to appropriate preparation, management and use of data.
- Championing effective data governance and best practice in data ethics and privacy, as well as identifying potential improvements to working with data.
- Understanding and working with complex data sources and data models.
- Working with data transformation pipelines which take data from source systems to data visualisation tools.
- Building and making improvements to reports in data visualisation tools.
- Interpreting technical specifications and converting them into accurate metric calculations.
Measuring performance and value
- Working with teams to define and prioritise meaningful performance measures.
- Analysing available product data and communicating insights to inform ongoing prioritisation and iteration.
- Aligning performance reporting with team and stakeholder requirements.
Identifying needs and requirements
- Working with stakeholders to elicit, analyse and document data, business, and technical needs.
- Translate needs into clear, structured requirements and user stories.
- Support prioritisation and decision-making which effectively balances user and business needs, and considers the needs of data users.
- Recognising any policy and statutory obligations affecting requirements.
- Identify assumptions, constraints and risks early.
Service and process improvement
- Map and analyse data flows, current business and service processes.
- Identify pain points and opportunities for service and operational improvement.
- Support clients to understand the impact of proposed changes.
Stakeholder engagement
- Sharing learnings from complex analysis clearly and concisely.
- Building shared understanding across technical and non-technical audiences.
- Supporting consensus-building and informed decision-making.
Multidisciplinary delivery
- Collaborating effectively as part of agile, multidisciplinary teams.
- Taking a hands-on, flexible approach to the requirements of each project.
- Coaching and knowledge sharing with other team members.
Requirements
You:
- Have experience working as a Data Analyst (or related analytical role) on digital products or services.
- Can plan, prepare, manage and model data across different stages of the data project life cycle.
- Can use a range of methodologies, working across multiple data sets, to gather insights.
- Can tell an effective story with data, with conclusions backed by evidence and supported by visualisations.
- Are familiar with appropriate tools for managing, analysing and visualising data, for example Python, SQL, Tableau, or R.
- Communicate clearly with technical and non-technical audiences.
- Bring a structured, inquisitive and pragmatic approach to problem solving, and can adapt to the needs of each project.
- Work well in agile or iterative delivery environments.
- Have experience using user-centred design approaches.
- May have experience in public or third sector organisations (this is preferred, but not essential).